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George Karypis Vis

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*2009
128EEChristian Desrosiers, George Karypis: Within-Network Classification Using Local Structure Similarity. ECML/PKDD (1) 2009: 260-275
127EEHuzefa Rangwala, Christopher Kauffman, George Karypis: A Kernel Framework for Protein Residue Annotation. PAKDD 2009: 439-451
126EEXia Ning, George Karypis: The Set Classification Problem and Solution Methods. SDM 2009: 847-858
125EEJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal: CONTOUR: an efficient algorithm for discovering discriminating subsequences. Data Min. Knowl. Discov. 18(1): 1-29 (2009)
2008
124EEHuzefa Rangwala, George Karypis: fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. APBC 2008: 111-122
123EERezwan Ahmed, Huzefa Rangwala, George Karypis: TOPTMH: Topology Predictor for Transmembrane alpha-Helices. ECML/PKDD (1) 2008: 23-38
122EEIrene Moulitsas, George Karypis: Architecture Aware Partitioning Algorithms. ICA3PP 2008: 42-53
121EEXia Ning, George Karypis: The Set Classification Problem and Solution Methods. ICDM Workshops 2008: 720-729
120EEChristopher Kauffman, George Karypis: An Analysis of Information Content Present in Protein-DNA Interactions. Pacific Symposium on Biocomputing 2008: 477-488
119EENikil Wale, Ian A. Watson, George Karypis: Comparison of descriptor spaces for chemical compound retrieval and classification. Knowl. Inf. Syst. 14(3): 347-375 (2008)
118EEAl Mamunur Rashid, George Karypis, John Riedl: Learning preferences of new users in recommender systems: an information theoretic approach. SIGKDD Explorations 10(2): 90-100 (2008)
117EEMohammed J. Zaki, George Karypis, Jiong Yang, Wei Wang: Introduction to special issue on bioinformatics. TKDD 2(1): (2008)
2007
116EESteve Reinhardt, George Karypis: A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph. IPDPS 2007: 1-8
115EEJianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal: Discriminating Subsequence Discovery for Sequence Clustering. SDM 2007
114EEZhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis: Out-of-core coherent closed quasi-clique mining from large dense graph databases. ACM Trans. Database Syst. 32(2): 13 (2007)
113EEMohammed J. Zaki, George Karypis, Jiong Yang: Data Mining in Bioinformatics (BIOKDD). Algorithms for Molecular Biology 2: (2007)
112EEHuzefa Rangwala, George Karypis: Incremental window-based protein sequence alignment algorithms. Bioinformatics 23(2): 17-23 (2007)
111EEMichihiro Kuramochi, George Karypis: Discovering frequent geometric subgraphs. Inf. Syst. 32(8): 1101-1120 (2007)
110EEKevin W. Deronne, George Karypis: Effective Optimization Algorithms for Fragment-Assembly Based protein Structure Prediction. J. Bioinformatics and Computational Biology 5(2a): 335-352 (2007)
109EERonald N. Kostoff, J. Antonio del Río, Héctor D. Cortés, Charles Smith, Andrew Smith, Caroline S. Wagner, Loet Leydesdorff, George Karypis, Guido Malpohl, Rene Tshiteya: Clustering methodologies for identifying country core competencies. J. Information Science 33(1): 21-40 (2007)
2006
108EENikil Wale, George Karypis: Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. ICDM 2006: 678-689
107EEAmine Abou-Rjeili, George Karypis: Multilevel algorithms for partitioning power-law graphs. IPDPS 2006
106EEZhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis: Coherent closed quasi-clique discovery from large dense graph databases. KDD 2006: 797-802
105EEAl Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl: Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering. WEBKDD 2006: 147-166
104EEJianyong Wang, George Karypis: On Mining Instance-Centric Classification Rules. IEEE Trans. Knowl. Data Eng. 18(11): 1497-1511 (2006)
103EENavaratnasothie Selvakkumaran, George Karypis: Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization. IEEE Trans. on CAD of Integrated Circuits and Systems 25(3): 504-517 (2006)
102EEJianyong Wang, George Karypis: On efficiently summarizing categorical databases. Knowl. Inf. Syst. 9(1): 19-37 (2006)
101EEMohammed J. Zaki, George Karypis, Jiong Yang: BIOKDD06: data mining in Bioinformatics. SIGKDD Explorations 8(2): 78 (2006)
2005
100EEEui-Hong Han, George Karypis: Feature-based recommendation system. CIKM 2005: 446-452
99 Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, George Karypis: Effective Document Clustering for Large Heterogeneous Law Firm Collections. ICAIL 2005: 177-187
98 Jianyong Wang, George Karypis: HARMONY: Efficiently Mining the Best Rules for Classification. SDM 2005
97 Al Mamunur Rashid, George Karypis, John Riedl: Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. SDM 2005
96 Ying Zhao, George Karypis: Topic-driven Clustering for Document Datasets. SDM 2005
95 Mukund Deshpande, Michihiro Kuramochi, George Karypis: Mining Chemical Compounds. Data Mining in Bioinformatics 2005: 189-215
94EEHuzefa Rangwala, George Karypis: Profile-based direct kernels for remote homology detection and fold recognition. Bioinformatics 21(23): 4239-4247 (2005)
93EEYing Zhao, George Karypis, Usama M. Fayyad: Hierarchical Clustering Algorithms for Document Datasets. Data Min. Knowl. Discov. 10(2): 141-168 (2005)
92EEMasakazu Seno, George Karypis: Finding Frequent Patterns Using Length-Decreasing Support Constraints. Data Min. Knowl. Discov. 10(3): 197-228 (2005)
91EEMichihiro Kuramochi, George Karypis: Finding Frequent Patterns in a Large Sparse Graph*. Data Min. Knowl. Discov. 11(3): 243-271 (2005)
90EEMukund Deshpande, Michihiro Kuramochi, Nikil Wale, George Karypis: Frequent Substructure-Based Approaches for Classifying Chemical Compounds. IEEE Trans. Knowl. Data Eng. 17(8): 1036-1050 (2005)
89EEMichihiro Kuramochi, George Karypis: Gene Classification Using Expression Profiles: A Feasibility Study. International Journal on Artificial Intelligence Tools 14(4): 641-660 (2005)
88EEYing Zhao, George Karypis: Prediction of Contact Maps Using Support Vector Machines. International Journal on Artificial Intelligence Tools 14(5): 849-866 (2005)
2004
87EEYing Zhao, George Karypis: Soft clustering criterion functions for partitional document clustering: a summary of results. CIKM 2004: 246-247
86EENavaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis: Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. DAC 2004: 741-746
85EENavaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis: Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. FPGA 2004: 253
84EEJianyong Wang, George Karypis: SUMMARY: Efficiently Summarizing Transactions for Clustering. ICDM 2004: 241-248
83EEMichihiro Kuramochi, George Karypis: GREW-A Scalable Frequent Subgraph Discovery Algorithm. ICDM 2004: 439-442
82EEKrishna Gade, Jianyong Wang, George Karypis: Efficient closed pattern mining in the presence of tough block constraints. KDD 2004: 138-147
81EEJianyong Wang, George Karypis: BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. SDM 2004
80EEMichihiro Kuramochi, George Karypis: Finding Frequent Patterns in a Large Sparse Graph. SDM 2004
79EEMukund Deshpande, George Karypis: Item-based top-N recommendation algorithms. ACM Trans. Inf. Syst. 22(1): 143-177 (2004)
78EEMukund Deshpande, George Karypis: Selective Markov models for predicting Web page accesses. ACM Trans. Internet Techn. 4(2): 163-184 (2004)
77EEMichihiro Kuramochi, George Karypis: An Efficient Algorithm for Discovering Frequent Subgraphs. IEEE Trans. Knowl. Data Eng. 16(9): 1038-1051 (2004)
76EEYing Zhao, George Karypis: Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. Machine Learning 55(3): 311-331 (2004)
75EEValerie Guralnik, George Karypis: Parallel tree-projection-based sequence mining algorithms. Parallel Computing 30(4): 443-472 (2004)
2003
74EEYing Zhao, George Karypis: Prediction of Contact Maps Using Support Vector Machines. BIBE 2003: 26-
73EEEui-Hong Han, George Karypis, Doug Mewhort, Keith Hatchard: Intelligent metasearch engine for knowledge management. CIKM 2003: 492-495
72EENavaratnasothie Selvakkumaran, George Karypis: Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization. ICCAD 2003: 726-733
71EEMukund Deshpande, Michihiro Kuramochi, George Karypis: Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. ICDM 2003: 35-42
70EEGeorge Karypis: Multi-Constraint Mesh Partitioning for Contact/Impact Computations. SC 2003: 56
69EENavaratnasothie Selvakkumaran, Phiroze N. Parakh, George Karypis: Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement. SLIP 2003: 53-59
68EEDaniel J. Challou, Maria L. Gini, Vipin Kumar, George Karypis: Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. Journal of Intelligent and Robotic Systems 38(1): 31-53 (2003)
2002
67EEMukund Deshpande, Michihiro Kuramochi, George Karypis: Automated Approaches for Classifying Structures. BIOKDD 2002: 11-18
66EEMukund Deshpande, George Karypis: Using conjunction of attribute values for classification. CIKM 2002: 356-364
65EEYing Zhao, George Karypis: Evaluation of hierarchical clustering algorithms for document datasets. CIKM 2002: 515-524
64EECristinel Ababei, Navaratnasothie Selvakkumaran, Kia Bazargan, George Karypis: Multi-objective circuit partitioning for cutsize and path-based delay minimization. ICCAD 2002: 181-185
63EEMichihiro Kuramochi, George Karypis: Discovering Frequent Geometric Subgraphs. ICDM 2002: 258-265
62EEMasakazu Seno, George Karypis: SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. ICDM 2002: 418-425
61EEYing Zhao, George Karypis: Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes. ITCC 2002: 16-21
60EEMukund Deshpande, George Karypis: Evaluation of Techniques for Classifying Biological Sequences. PAKDD 2002: 417-431
59EEB. Uygar Oztekin, George Karypis, Vipin Kumar: Expert agreement and content based reranking in a meta search environment using Mearf. WWW 2002: 333-344
58 Kirk Schloegel, George Karypis, Vipin Kumar: Parallel static and dynamic multi-constraint graph partitioning. Concurrency and Computation: Practice and Experience 14(3): 219-240 (2002)
2001
57 Michihiro Kuramochi, George Karypis: Gene Classification using Expression Profiles: A Feasibility Study. BIBE 2001: 191-200
56EEValerie Guralnik, George Karypis: A scalable algorithm for clustering protein sequences. BIOKDD 2001: 73-80
55 George Karypis: Evaluation of Item-Based Top-N Recommendation Algorithms. CIKM 2001: 247-254
54EEKirk Schloegel, George Karypis, Vipin Kumar: Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. CLUSTER 2001: 271-273
53EEValerie Guralnik, Nivea Garg, George Karypis: Parallel Tree Projection Algorithm for Sequence Mining. Euro-Par 2001: 310-320
52EEValerie Guralnik, George Karypis: A Scalable Algorithm for Clustering Sequential Data. ICDM 2001: 179-186
51EEMichihiro Kuramochi, George Karypis: Frequent Subgraph Discovery. ICDM 2001: 313-320
50EEMasakazu Seno, George Karypis: LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint. ICDM 2001: 505-512
49EEEui-Hong Han, George Karypis, Vipin Kumar: Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PAKDD 2001: 53-65
48EEIrene Moulitsas, George Karypis: Multilevel algorithms for generating coarse grids for multigrid methods. SC 2001: 45
47EEBadrul M. Sarwar, George Karypis, Joseph A. Konstan, John Riedl: Item-based collaborative filtering recommendation algorithms. WWW 2001: 285-295
46EENaren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis: When being Weak is Brave: Privacy in Recommender Systems CoRR cs.CG/0105028: (2001)
45EENaren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis: Privacy Risks in Recommender Systems. IEEE Internet Computing 5(6): 54-62 (2001)
44EEKirk Schloegel, George Karypis, Vipin Kumar: Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. IEEE Trans. Parallel Distrib. Syst. 12(5): 451-466 (2001)
2000
43EEBadrul M. Sarwar, George Karypis, Joseph A. Konstan, John Riedl: Analysis of recommendation algorithms for e-commerce. ACM Conference on Electronic Commerce 2000: 158-167
42EEEui-Hong Han, George Karypis: Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. CIKM 2000: 12-19
41EEWilliam Leinberger, George Karypis, Vipin Kumar: Memory Management Techniques for Gang Scheduling. Euro-Par 2000: 252-261
40EEKirk Schloegel, George Karypis, Vipin Kumar: Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). Euro-Par 2000: 296-310
39EEWilliam Leinberger, George Karypis, Vipin Kumar: Load Balancing Across Near-Homogeneous Multi-Resource Servers. Heterogeneous Computing Workshop 2000: 60-71
38EEVipin Kumar, Kirk Schloegel, George Karypis: Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. IPDPS Workshops 2000: 476-476
37EEEui-Hong Han, George Karypis: Centroid-Based Document Classification: Analysis and Experimental Results. PKDD 2000: 424-431
36EEKirk Schloegel, George Karypis, Vipin Kumar: A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. SC 2000
35EEEui-Hong Han, George Karypis, Vipin Kumar: Scalable Parallel Data Mining for Association Rules. IEEE Trans. Knowl. Data Eng. 12(3): 377-352 (2000)
34 Rupak Biswas, Bruce Hendrickson, George Karypis: Graph partitioning and parallel computing. Parallel Computing 26(12): 1515-1517 (2000)
1999
33EEGeorge Karypis, Vipin Kumar: Multilevel k-way Hypergraph Partitioning. DAC 1999: 343-348
32EEKirk Schloegel, George Karypis, Vipin Kumar: A New Algorithm for Multi-objective Graph Partitioning. Euro-Par 1999: 322-331
31EEWilliam Leinberger, George Karypis, Vipin Kumar: Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. ICPP 1999: 404-412
30EEMahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar: Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining 1999: 83-126
29 Kirk Schloegel, George Karypis, Vipin Kumar: Dynamic Repartitioning of Adaptively Refined Meshes. PPSC 1999
28 Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson: PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PPSC 1999
27 Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore: Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. 13(5-6): 365-391 (1999)
26 George Karypis, Eui-Hong Han, Vipin Kumar: Chameleon: Hierarchical Clustering Using Dynamic Modeling. IEEE Computer 32(8): 68-75 (1999)
25EEGeorge Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar: Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. VLSI Syst. 7(1): 69-79 (1999)
1998
24EEEui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore: WebACE: A Web Agent for Document Categorization and Exploration. Agents 1998: 408-415
23EEMahesh V. Joshi, George Karypis, Vipin Kumar: ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. IPPS/SPDP 1998: 573-579
22 Kirk Schloegel, George Karypis, Vipin Kumar: Load Balancing of Dynamic and Adaptive Mesh-Based Computations. SRDS 1998: 311
21EEEui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher: Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. 21(1): 15-22 (1998)
20 George Karypis, Vipin Kumar: A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. J. Parallel Distrib. Comput. 48(1): 71-95 (1998)
19 George Karypis, Vipin Kumar: Multilevel k-way Partitioning Scheme for Irregular Graphs. J. Parallel Distrib. Comput. 48(1): 96-129 (1998)
1997
18EEGeorge Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar: Multilevel Hypergraph Partitioning: Application in VLSI Domain. DAC 1997: 526-529
17 Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher: Clustering Based On Association Rule Hypergraphs. DMKD 1997: 0-
16EEKirk Schloegel, George Karypis, Vipin Kumar: Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. Euro-Par 1997: 945-949
15 George Karypis, Vipin Kumar: A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. PPSC 1997
14 Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar: Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PPSC 1997
13 Vipin Kumar, George Karypis, Ananth Grama: Role of Message-Passing in Performance Oriented Parallel Programming. PPSC 1997
12EEEui-Hong Han, George Karypis, Vipin Kumar: Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288
11EEAnshul Gupta, George Karypis, Vipin Kumar: Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. IEEE Trans. Parallel Distrib. Syst. 8(5): 502-520 (1997)
10 Kirk Schloegel, George Karypis, Vipin Kumar: Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. J. Parallel Distrib. Comput. 47(2): 109-124 (1997)
1996
9EEGeorge Karypis, Vipin Kumar: Parallel Multilevel Graph Partitioning. IPPS 1996: 314-319
1995
8 George Karypis, Vipin Kumar: Multilevel Graph Partitioning Schemes. ICPP (3) 1995: 113-122
7 George Karypis, Anshul Gupta, Vipin Kumar: A Highly Parallel Interior Point Algorithm. PPSC 1995: 110-112
6EEGeorge Karypis, Vipin Kumar: Analysis of Multilevel Graph Partitioning. SC 1995
1994
5 Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis: Introduction to Parallel Computing. Benjamin/Cummings 1994
4EEGeorge Karypis, Anshul Gupta, Vipin Kumar: A parallel formulation of interior point algorithms. SC 1994: 204-213
3EEGeorge Karypis, Vipin Kumar: Unstructured Tree Search on SIMD Parallel Computers. IEEE Trans. Parallel Distrib. Syst. 5(10): 1057-1072 (1994)
1993
2 George Karypis, Vipin Kumar: Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. IPPS 1993: 563-568
1992
1 George Karypis, Vipin Kumar: Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. SC 1992: 453-462

Coauthor Index

1Cristinel Ababei [64]
2Amine Abou-Rjeili [107]
3Charu C. Aggarwal [115] [125]
4Rajat Aggarwal [18] [25]
5Rezwan Ahmed [123]
6Khalid Al-Kofahi [99]
7Kia Bazargan [64]
8Rupak Biswas [34]
9Daniel Boley [24] [27]
10Daniel J. Challou [68]
11Jack G. Conrad [99]
12Héctor D. Cortés [109]
13Kevin W. Deronne [110]
14Mukund Deshpande [60] [66] [67] [71] [78] [79] [90] [95]
15Christian Desrosiers [128]
16Usama M. Fayyad [93]
17Krishna Gade [82]
18Nivea Garg [53]
19Maria L. Gini [24] [27] [68]
20Ananth Grama [5] [13] [45] [46]
21Robert Gross [24] [27]
22Anshul Gupta [4] [5] [7] [11] [14] [28]
23Valerie Guralnik [52] [53] [56] [75]
24Fred G. Gustavson [14] [28]
25Eui-Hong Han [12] [17] [21] [24] [26] [27] [30] [35] [37] [42] [49] [73] [100]
26Kyle Hastings [24] [27]
27Keith Hatchard [73]
28Bruce Hendrickson [34]
29Mahesh V. Joshi [14] [23] [28] [30]
30Christopher Kauffman [120] [127]
31Benjamin J. Keller [45] [46]
32Joseph A. Konstan [43] [47]
33Ronald N. Kostoff [109]
34Vipin Kumar [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [35] [36] [38] [39] [40] [41] [44] [49] [54] [58] [59] [68]
35Michihiro Kuramochi [51] [57] [63] [67] [71] [77] [80] [83] [89] [90] [91] [95] [111]
36Adam LaPitz [105]
37Shyong K. Lam [105]
38William Leinberger [31] [39] [41]
39Loet Leydesdorff [109]
40Guido Malpohl [109]
41Doug Mewhort [73]
42Batul J. Mirza [45] [46]
43Bamshad Mobasher [17] [21] [24] [27]
44Jerome Moore [24] [27]
45Irene Moulitsas [48] [122]
46Xia Ning [121] [126]
47B. Uygar Oztekin [59]
48Phiroze N. Parakh [69]
49Salil Raje [85] [86]
50Naren Ramakrishnan [45] [46]
51Huzefa Rangwala [94] [112] [123] [124] [127]
52Abhishek Ranjan [85] [86]
53Al Mamunur Rashid [97] [105] [118]
54Steve Reinhardt [116]
55John Riedl [43] [47] [97] [105] [118]
56J. Antonio del Río [109]
57Badrul M. Sarwar [43] [47]
58Kirk Schloegel [10] [16] [22] [29] [32] [36] [38] [40] [44] [54] [58]
59Navaratnasothie Selvakkumaran [64] [69] [72] [85] [86] [103]
60Masakazu Seno [50] [62] [92]
61Shashi Shekhar [18] [25]
62Andrew Smith [109]
63Charles Smith [109]
64Rene Tshiteya [109]
65Caroline S. Wagner [109]
66Nikil Wale [90] [108] [119]
67Jianyong Wang [81] [82] [84] [98] [102] [104] [106] [114] [115] [125]
68Wei Wang [117]
69Ian A. Watson [119]
70Jiong Yang [101] [113] [117]
71Mohammed Javeed Zaki (Mohammed J. Zaki) [101] [113] [117]
72Zhiping Zeng [106] [114]
73Yuzhou Zhang [115] [125]
74Ying Zhao [61] [65] [74] [76] [87] [88] [93] [96] [99]
75Lizhu Zhou (Li-Zhu Zhou) [106] [114] [115] [125]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)