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Gagan Agrawal Vis

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*2009
129EETantan Liu, Fan Wang, Gagan Agrawal: Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources. DILS 2009: 141-156
128 Fan Wang, Yuan Hong, Wenbin Zhang, Gagan Agrawal: Personality Based Latent Friendship Mining. DMIN 2009: 427-433
127EEWenjing Ma, Gagan Agrawal: A translation system for enabling data mining applications on GPUs. ICS 2009: 400-409
126EEQian Zhu, Gagan Agrawal: A resource allocation approach for supporting time-critical applications in grid environments. IPDPS 2009: 1-12
125EEWenjing Ma, Gagan Agrawal: A compiler and runtime system for enabling data mining applications on gpus. PPOPP 2009: 287-288
124EEDavid Chiu, Gagan Agrawal: Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. SSDBM 2009: 218-236
123EEFan Wang, Gagan Agrawal: SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources. SSDBM 2009: 74-82
2008
122EELeonid Glimcher, Gagan Agrawal: A Middleware for Developing and Deploying Scalable Remote Mining Services. CCGRID 2008: 242-249
121EEDavid Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li: Composing geoinformatics workflows with user preferences. GIS 2008: 55
120EEDavid Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li: Cost and accuracy sensitive dynamic workflow composition over grid environments. GRID 2008: 9-16
119EEQian Zhu, Gagan Agrawal: Resource Allocation for Distributed Streaming Applications. ICPP 2008: 414-421
118EEQian Zhu, Liang Chen, Gagan Agrawal: Supporting fault-tolerance in streaming grid applications. IPDPS 2008: 1-12
117EELiang Chen, Han-Wei Shen, Gagan Agrawal: Supporting a visualization application on a self-adapting grid middleware. IPDPS 2008: 1-8
116EEXuan Zhang, Gagan Agrawal: Supporting high performance bioinformatics flat-file data processing using indices. IPDPS 2008: 1-8
115EEFan Wang, Gagan Agrawal, Ruoming Jin: Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM 2008: 24-41
114EELeonid Glimcher, Ruoming Jin, Gagan Agrawal: Middleware for data mining applications on clusters and grids. J. Parallel Distrib. Comput. 68(1): 37-53 (2008)
113EEXingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal: MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explorations 10(2): 61-65 (2008)
2007
112EEFan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska: Graph and Topological Structure Mining on Scientific Articles. BIBE 2007: 1318-1322
111EEFan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska: SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE 2007: 192-199
110EELi Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Optimizing multiple queries on scientific datasets with partial replicas. GRID 2007: 259-266
109EELeonid Glimcher, Gagan Agrawal: A Performance Prediction Framework for Grid-Based Data Mining Applications. IPDPS 2007: 1-10
108EELeonid Glimcher, Gagan Agrawal: A Performance Prediction Framework for Grid-Based Data Mining Applications. IPDPS 2007: 1-10
107EEQian Zhu, Liang Chen, Gagan Agrawal: Supporting fault-tolerance in streaming grid applications. PPOPP 2007: 156-157
2006
106 Xuan Zhang, Gagan Agrawal: A Tool for Supporting Integration Across Multiple Flat­File Datasets. BIBE 2006: 141-148
105 Xuan Zhang, Ruoming Jin, Gagan Agrawal: Assigning Schema Labels Using Ontology And Hueristics. BIBE 2006: 269-280
104 Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska: Exploratory Tools for Follow­Up Studies to Microarray Experiments. BIBE 2006: 81-85
103EEQian Zhu, Liang Chen, Gagan Agrawal: Supporting a Real-Time Distributed Intrusion Detection Application on GATES. Euro-Par 2006: 360-370
102EEGagan Agrawal, Hakan Ferhatosmanoglu, Xutong Niu, Keith W. Bedford, Ron Li: A Vision for Cyberinfrastructure for Coastal Forecasting and Change Analysis. GSN 2006: 151-174
101EERuoming Jin, Gagan Agrawal: Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE 2006: 17
100EERuoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal: New Sampling-Based Estimators for OLAP Queries. ICDE 2006: 18
99EELeonid Glimcher, Ruoming Jin, Gagan Agrawal: FREERIDE-G: Supporting Applications that Mine Remote. ICPP 2006: 109-118
98EELi Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. ICPP 2006: 271-280
97EEXiaogang Li, Gagan Agrawal: Parallelizing XQuery In a Cluster Environment. IDEAS 2006: 291-294
96EELiang Chen, Gagan Agrawal: Supporting self-adaptation in streaming data mining applications. IPDPS 2006
95EELiang Chen, Qian Zhu, Gagan Agrawal: Grid scheduling and protocols - Supporting dynamic migration in tightly coupled grid applications. SC 2006: 117
94EELiang Chen, Gagan Agrawal: A static resource allocation framework for Grid-based streaming applications. Concurrency and Computation: Practice and Experience 18(6): 653-666 (2006)
93EERuoming Jin, Anjan Goswami, Gagan Agrawal: Fast and exact out-of-core and distributed k-means clustering. Knowl. Inf. Syst. 10(1): 17-40 (2006)
2005
92EEKaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005: 177-184
91EELi Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Servicing range queries on multidimensional datasets with partial replicas. CCGRID 2005: 726-733
90EEKaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Learning Layouts of Biological Datasets Semi-automatically. DILS 2005: 31-45
89EEXuan Zhang, Gagan Agrawal: Enabling information integration and workflows in a grid environment with automatic wrapper generation. GRID 2005: 156-163
88EERuoming Jin, Gagan Agrawal: An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM 2005: 210-217
87EEWei Du, Gagan Agrawal: Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2005: 539-546
86EESwarup Kumar Sahoo, Gagan Agrawal: Data Centric Transformations on Non-Integer Iteration Spaces. IEEE PACT 2005: 133-142
85EELeonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju: Parallelizing a Defect Detection and Categorization Application. IPDPS 2005
84EERuoming Jin, Kaushik Sinha, Gagan Agrawal: Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005: 600-605
83EERuoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal: Discovering frequent topological structures from graph datasets. KDD 2005: 606-611
82EEXiaogang Li, Gagan Agrawal: Code Transformations for One-Pass Analysis. LCPC 2005: 377-396
81EEXiaogang Li, Gagan Agrawal: Efficient Evaluation of XQuery over Streaming Data. VLDB 2005: 265-276
80EERuoming Jin, Ge Yang, Gagan Agrawal: Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. 17(1): 71-89 (2005)
79EERuoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal: Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distrib. Syst. 16(12): 1105-1119 (2005)
78EERuoming Jin, Gagan Agrawal: A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Eval. 60(1-4): 73-105 (2005)
2004
77EELeonid Glimcher, Gagan Agrawal: Parallelizing EM Clustering Algorithm on a Cluster of SMPs. Euro-Par 2004: 372-380
76EELiang Chen, Kolagatla Reddy, Gagan Agrawal: GATES: A Grid-Based Middleware for Processing Distributed Data Streams. HPDC 2004: 192-201
75EELi Weng, Gagan Agrawal, Ümit V. Çatalyürek, Tahsin M. Kurç, Sivaramakrishnan Narayanan, Joel H. Saltz: An Approach for Automatic Data Virtualization. HPDC 2004: 24-33
74EELiang Chen, Gagan Agrawal: Self-Adaptation in a Middleware for Processing Data Streams. ICAC 2004: 292-293
73EEAnjan Goswami, Ruoming Jin, Gagan Agrawal: Fast and Exact Out-of-Core K-Means Clustering. ICDM 2004: 83-90
72EEWei Du, Gagan Agrawal: Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2004: 259-266
71EERuoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal: Using Tiling to Scale Parallel Data Cube Construction. ICPP 2004: 365-372
70EELeonid Glimcher, Xuan Zhang, Gagan Agrawal: Scaling and Parallelizing a Scientific Feature Mining Application Using a Cluster Middleware. IPDPS 2004
69EELi Weng, Gagan Agrawal, Ümit V. Çatalyürek, Joel H. Saltz: Supporting SQL-3 Aggregations on Grid-Based Data Repositories. LCPC 2004: 283-298
68EESwarup Kumar Sahoo, Gagan Agrawal: Supporting XML Based High-Level Abstractions on HDF5 Datasets: A Case Study in Automatic Data Virtualization. LCPC 2004: 299-318
67EELiang Chen, Gagan Agrawal: Resource allocation in a middleware for streaming data. Middleware for Grid Computing 2004: 5-10
66EEWei Du, Gagan Agrawal: Language and Compiler Support for Adaptive Applications. SC 2004: 29
65 Xiaogang Li, Swarup Kumar Sahoo, Gagan Agrawal: XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques. XIME-P 2004: 25-30
2003
64EEXiaogang Li, Gagan Agrawal: Using XQuery for Flat-File Based Scientific Datasets. DBPL 2003: 179-194
63EERuoming Jin, Ge Yang, Gagan Agrawal: Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC 2003: 74-84
62EERuoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal: Communication and Memory Optimal Parallel Data Cube Construction. ICPP 2003: 573-580
61EEXiaogang Li, Renato Ferreira, Gagan Agrawal: Compiler support for efficient processing of XML datasets. ICS 2003: 42-52
60EEWei Du, Gagan Agrawal: Compiler Supported Coarse-Grained Pipelined Parallelism: Why and How. IPDPS 2003: 204
59EEGe Yang, Ruoming Jin, Gagan Agrawal: Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS 2003: 66
58EEXiaogang Li, Ruoming Jin, Gagan Agrawal: A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003: 7
57EERuoming Jin, Gagan Agrawal: Efficient decision tree construction on streaming data. KDD 2003: 571-576
56EEXiaogang Li, Gagan Agrawal: Supporting High-Level Abstractions through XML Technology. LCPC 2003: 127-146
55EEWei Du, Renato Ferreira, Gagan Agrawal: Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. SC 2003: 8
54EETahsin M. Kurç, Feng Lee, Gagan Agrawal, Ümit V. Çatalyürek, Renato Ferreira, Joel H. Saltz: Optimizing Reduction Computations In a Distributed Environment. SC 2003: 9
53EERuoming Jin, Gagan Agrawal: Communication and Memory Efficient Parallel Decision Tree Construction. SDM 2003
52EEGe Yang, Ruoming Jin, Gagan Agrawal: Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Generation Comp. Syst. 19(4): 533-550 (2003)
2002
51EEGagan Agrawal, Jinqian Li, Qi Su: Evaluating a Demand Driven Technique for Call Graph Construction. CC 2002: 29-45
50EEWei Du, Gagan Agrawal: Developing Distributed Data Mining Implementations for a Grid Environment. CCGRID 2002: 440-441
49EEGe Yang, Ruoming Jin, Gagan Agrawal: Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID 2002: 84-92
48EERuoming Jin, Gagan Agrawal: Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002: 346-354
47EERenato Ferreira, Gagan Agrawal, Joel H. Saltz: Compiler supported high-level abstractions for sparse disk-resident datasets. ICS 2002: 241-251
46EEGary M. Zoppetti, Gagan Agrawal, Rishi Kumar: Compiler and Runtime Support for Irregular Reductions on a Multithreaded Architecture. IPDPS 2002
45EERishi Kumar, Gagan Agrawal, Guang R. Gao: Compiling Several Classes of Communication Patterns on a Multithreaded Architecture. IPDPS 2002
44EERuoming Jin, Gagan Agrawal: Design and Evaluation of a High-Level Interface for Data Mining. IPDPS 2002
43EEXiaogang Li, Ruoming Jin, Gagan Agrawal: Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002: 265-279
42EERuoming Jin, Gagan Agrawal: Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002
41EERuoming Jin, Gagan Agrawal: Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS 2002: 117-128
40 Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao: Implementation and evaluation of a communication intensive application on the EARTH multithreaded system. Concurrency and Computation: Practice and Experience 14(3): 183-201 (2002)
39 Renato Ferreira, Gagan Agrawal, Joel H. Saltz: Data parallel language and compiler support for data intensive applications. Parallel Computing 28(5): 725-748 (2002)
2001
38EEGary M. Zoppetti, Gagan Agrawal, Rishi Kumar: Impact of Data Distribution on Performance of Irregular Reductions on Multithreaded Architectures. HPCN Europe 2001: 483-492
37EERenato Ferreira, Joel H. Saltz, Gagan Agrawal: Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. IEEE PACT 2001: 231-242
36 Ruoming Jin, Gagan Agrawal: An efficient association mining implementation on clusters of SMP. IPDPS 2001: 156
35EEGagan Agrawal, Ruoming Jin, Xiaogang Li: Compiler and Middleware Support for Scalable Data Mining. LCPC 2001: 33-51
34EEGagan Agrawal, Liang Guo: Evaluating explicitly context-sensitive program slicing. PASTE 2001: 6-12
33 Gary M. Zoppetti, Gagan Agrawal: An Execution Strategy for Irregular Reductions on Multithreaded Architectures. PPSC 2001
2000
32EEGagan Agrawal: Demand-Driven Construction of Call Graphs. CC 2000: 125-140
31EEKevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao: Developing a Communication Intensive Application on the EARTH Multithreaded Architecture (Distinguished Paper). Euro-Par 2000: 625-637
30EERenato Ferreira, Gagan Agrawal, Joel H. Saltz: Compiling object-oriented data intensive applications. ICS 2000: 11-21
29EEGary M. Zoppetti, Gagan Agrawal, Lori L. Pollock, José Nelson Amaral, Xinan Tang, Guang R. Gao: Automatic compiler techniques for thread coarsening for multithreaded architectures. ICS 2000: 306-315
28EERenato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz: Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000: 339-354
27EEGagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz: High Level Programming Methodologies for Data Intensive Computations. LCR 2000: 32-43
26EEKevin B. Theobald, Gagan Agrawal, Rishi Kumar, Gerd Heber, Guang R. Gao, Paul Stodghill, Keshav Pingali: Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path. SC 2000
25 Dixie Hisley, Gagan Agrawal, Punyam Satya-narayana, Lori L. Pollock: Porting and performance evaluation of irregular codes using OpenMP. Concurrency - Practice and Experience 12(12): 1241-1259 (2000)
1999
24 Gagan Agrawal: Advanced Communication Optimaizations for Data-Parallel Programs. HPCN Europe 1999: 1139-1142
23EEGagan Agrawal: Simultaneous Demand-Driven Data-Flow and Call Graph Analysis. ICSM 1999: 453-462
22EEGary M. Zoppetti, Gagan Agrawal, Lori L. Pollock: Thresholding for Work Distribution of Recursive, Multithreaded Functions. LCPC 1999: 485-489
21EEGagan Agrawal: A General Interprocedural Framework for Placement of Split-Phase Large Latency Operations. IEEE Trans. Parallel Distrib. Syst. 10(4): 394-413 (1999)
20 Gagan Agrawal: Data Distribution Analysis for Irregular and Adaptive Codes. Parallel Processing Letters 9(1): 135-146 (1999)
19 Gagan Agrawal, Shyamala Murthy, Chandrashekar Garud: A Novel Program Representation for Interprocedural Analysis. SIGPLAN Notices 34(4): 70-76 (1999)
1998
18EEGagan Agrawal: Automatic Data Partitioning for Irregular and Adaptive Applications. ICPP 1998: 587-594
17EEGagan Agrawal: I/O Granularity Transformations. LCPC 1998: 68-82
16EEDixie Hisley, Gagan Agrawal, Lori L. Pollock: Evaluating the Effectiveness of a Parallelizing Compiler. LCR 1998: 195-204
15EEGagan Agrawal: Interprocedural Partial Redundancy Elimination With Application to Distributed Memory Compilation. IEEE Trans. Parallel Distrib. Syst. 9(7): 609-625 (1998)
1997
14 Joel H. Saltz, Gagan Agrawal, Chialin Chang, Raja Das, Guy Edjlali, Paul Havlak, Yuan-Shin Hwang, Bongki Moon, Ravi Ponnusamy, Shamik D. Sharma, Alan Sussman, Mustafa Uysal: Programming Irregular Applications: Runtime Support, Compilation and Tools. Advances in Computers 45: 105-153 (1997)
13 Gagan Agrawal, Joel H. Saltz: Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. Softw., Pract. Exper. 27(5): 519-545 (1997)
1996
12EEGagan Agrawal, Anurag Acharya, Joel H. Saltz: An Interprocedural Framework for Placement of Asynchronous I/O Operations. International Conference on Supercomputing 1996: 358-365
1995
11EEGuy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. Saltz: Data parallel programming in an adaptive environment. IPPS 1995: 827-832
10 Gagan Agrawal, Joel H. Saltz: Interprocedural Data Flow Based Optimizations for Compilation of Irregular Problems. LCPC 1995: 465-479
9 Gagan Agrawal, Joel H. Saltz, Raja Das: Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI 1995: 258-269
8EEGagan Agrawal, Joel H. Saltz: Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. SC 1995
7EEGagan Agrawal, Pankaj Jalote: Coding-Based Replication Schemes for Distributed Systems. IEEE Trans. Parallel Distrib. Syst. 6(3): 240-251 (1995)
6EEGagan Agrawal, Alan Sussman, Joel H. Saltz: An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications. IEEE Trans. Parallel Distrib. Syst. 6(7): 747-754 (1995)
1994
5 Gagan Agrawal, Joel H. Saltz: Interprocedural Communication Optimizations for Distributed Memory Compilation. LCPC 1994: 283-299
1993
4EEGagan Agrawal, Alan Sussman, Joel H. Saltz: Compiler and runtime support for structured and block structured applications. SC 1993: 578-587
1992
3 Gagan Agrawal, Pankaj Jalote: An Efficient Protocol for Voting In Distributed Systems. ICDCS 1992: 640-647
2EEPankaj Jalote, Gagan Agrawal: Using Coding to Support Data Resiliency in Distributed Systems. ICDE 1992: 192-199
1 Gagan Agrawal: Availability of Coding Based Replication Schemes. SRDS 1992: 103-110

Coauthor Index

1Anurag Acharya [12]
2José Nelson Amaral (José N. Amaral) [29]
3Keith W. Bedford [102]
4Yuri Breitbart [113]
5Ümit V. Çatalyürek [54] [69] [75] [91] [98] [110]
6Chialin Chang [14]
7Liang Chen [67] [74] [76] [94] [95] [96] [103] [107] [117] [118]
8David Chiu [120] [121] [124]
9Raja Das [9] [14]
10Sagar Deshpande [120] [121]
11Wei Du [50] [55] [60] [66] [72] [87]
12Guy Edjlali [11] [14]
13Hakan Ferhatosmanoglu [102]
14Renato Ferreira (Renato Antônio Celso Ferreira) [27] [28] [30] [37] [39] [47] [54] [55] [61]
15Guang R. Gao [26] [29] [31] [40] [45]
16Chandrashekar Garud [19]
17Leonid Glimcher [70] [77] [85] [99] [100] [108] [109] [114] [122]
18Anjan Goswami [73] [93]
19Liang Guo [34]
20Paul Havlak [14]
21Gerd Heber [26] [31] [40]
22Dixie Hisley [16] [25]
23Yuan Hong [128]
24Yuan-Shin Hwang [14]
25Pankaj Jalote [2] [3] [7]
26Chris Jermaine (Christopher M. Jermaine) [100]
27Ruoming Jin [27] [28] [35] [36] [41] [42] [43] [44] [48] [49] [52] [53] [57] [58] [59] [62] [63] [71] [73] [78] [79] [80] [83] [84] [85] [88] [90] [92] [93] [99] [100] [101] [104] [105] [111] [112] [113] [114] [115]
28Rishi Kumar [26] [31] [38] [40] [45] [46]
29Tahsin M. Kurç [54] [75] [91] [98] [110]
30Feng Lee [54]
31Jinqian Li [51]
32Ron Li (Rongxing (Ron) Li) [102]
33Rongxing Li [120] [121]
34Xiaogang Li [35] [43] [56] [58] [61] [64] [65] [81] [82] [97]
35Tantan Liu [129]
36Wenjing Ma [125] [127]
37Raghu Machiraju [85]
38Sameep Mehta [85]
39Bongki Moon [14]
40Shyamala Murthy [19]
41Sivaramakrishnan Narayanan [75]
42Xutong Niu [102]
43Srinivasan Parthasarathy [83]
44Keshav Pingali [26]
45Helen Piontkivska [104] [111] [112]
46Lori L. Pollock [16] [22] [25] [29]
47Dmitrii Polshakov [83]
48Ravi Ponnusamy [14]
49Kolagatla Reddy [76]
50Swarup Kumar Sahoo [65] [68] [86]
51Joel H. Saltz [4] [5] [6] [8] [9] [10] [11] [12] [13] [14] [27] [28] [30] [37] [39] [47] [54] [69] [75] [91] [98] [110]
52Punyam Satya-narayana [25]
53Shamik D. Sharma [14]
54Han-Wei Shen [117]
55Kaushik Sinha [84] [90] [92] [104]
56Paul Stodghill [26]
57Qi Su [51]
58Alan Sussman [4] [6] [11] [14]
59Xinan Tang [29]
60Kevin B. Theobald [26] [31] [40]
61Ruppa K. Thulasiram [31] [40]
62Mustafa Uysal [14]
63Karthik Vaidyanathan [62] [71]
64Karthikeyan Vaidyanathan [79]
65Chao Wang [83]
66Fan Wang [111] [112] [115] [123] [128] [129]
67Li Weng [69] [75] [91] [98] [110]
68Ge Yang [49] [52] [59] [62] [63] [71] [79] [80]
69Wenbin Zhang [128]
70Xuan Zhang [70] [89] [90] [92] [105] [106] [116]
71Qian Zhu [95] [103] [107] [118] [119] [126]
72Xingquan Zhu [113]
73Gary M. Zoppetti [22] [29] [33] [38] [46]

Colors in the list of coauthors

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