Padma Raghavan

537 total citations
24 papers, 336 citations indexed

About

Padma Raghavan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Padma Raghavan has authored 24 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 14 papers in Hardware and Architecture and 5 papers in Computational Theory and Mathematics. Recurrent topics in Padma Raghavan's work include Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (9 papers) and Distributed and Parallel Computing Systems (5 papers). Padma Raghavan is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Interconnection Networks and Systems (9 papers) and Distributed and Parallel Computing Systems (5 papers). Padma Raghavan collaborates with scholars based in United States, France and India. Padma Raghavan's co-authors include Michael T. Heath, Manu Shantharam, Horst D. Simon, Michael A. Heroux, Alex Pothen, Mahmut Kandemir, Anne Benoît, Yves Robert, Guillaume Aupy and Suja Abraham and has published in prestigious journals such as ACM SIGPLAN Notices, SIAM Journal on Matrix Analysis and Applications and Parallel Computing.

In The Last Decade

Padma Raghavan

24 papers receiving 316 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Padma Raghavan United States 10 195 148 91 89 41 24 336
Rajib Nath United States 8 241 1.2× 329 2.2× 141 1.5× 81 0.9× 61 1.5× 11 473
J. Demmel United States 6 259 1.3× 312 2.1× 135 1.5× 64 0.7× 46 1.1× 16 517
Pablo Ezzatti Uruguay 10 93 0.5× 131 0.9× 148 1.6× 34 0.4× 24 0.6× 73 360
Roy Williams United States 8 177 0.9× 146 1.0× 63 0.7× 62 0.7× 15 0.4× 15 369
Helmar Burkhart Switzerland 8 202 1.0× 237 1.6× 52 0.6× 30 0.3× 47 1.1× 29 371
Jim Demmel United States 6 348 1.8× 470 3.2× 148 1.6× 60 0.7× 75 1.8× 9 584
Peng Du China 11 322 1.7× 234 1.6× 37 0.4× 167 1.9× 63 1.5× 34 496
Daniel Etiemble France 10 215 1.1× 226 1.5× 70 0.8× 160 1.8× 28 0.7× 43 474
Amik Singh United States 6 348 1.8× 409 2.8× 129 1.4× 34 0.4× 39 1.0× 6 507
Eun-Jin Im South Korea 7 227 1.2× 270 1.8× 75 0.8× 22 0.2× 27 0.7× 14 361

Countries citing papers authored by Padma Raghavan

Since Specialization
Citations

This map shows the geographic impact of Padma Raghavan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Padma Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padma Raghavan more than expected).

Fields of papers citing papers by Padma Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Padma Raghavan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Padma Raghavan. The network helps show where Padma Raghavan may publish in the future.

Co-authorship network of co-authors of Padma Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Padma Raghavan. A scholar is included among the top collaborators of Padma Raghavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Padma Raghavan. Padma Raghavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abraham, Suja & Padma Raghavan. (2015). Myths and facts about vitiligo: An epidemiological study. Indian Journal of Pharmaceutical Sciences. 77(1). 8–8. 8 indexed citations
2.
Kabir, Humayun, et al.. (2015). STS-k. HAL (Le Centre pour la Communication Scientifique Directe). 1–11. 16 indexed citations
3.
Shantharam, Manu, et al.. (2013). SPEEDUP-AWARE CO-SCHEDULES FOR EFFICIENT WORKLOAD MANAGEMENT. Parallel Processing Letters. 23(2). 1340001–1340001. 5 indexed citations
4.
Shantharam, Manu, et al.. (2012). Fault tolerant preconditioned conjugate gradient for sparse linear system solution. 69–78. 54 indexed citations
5.
Raghavan, Padma, et al.. (2012). Similarity Graph Neighborhoods for Enhanced Supervised Classification. Procedia Computer Science. 9. 577–586. 7 indexed citations
6.
Raghavan, Padma, et al.. (2011). Virtual I/O caching. 1–11. 8 indexed citations
7.
Raghavan, Padma, et al.. (2010). Characterizing sparse preconditioner performance for the support vector machine kernel. Procedia Computer Science. 1(1). 367–375. 1 indexed citations
8.
Muralidhara, Sai Prashanth, Mahmut Kandemir, & Padma Raghavan. (2010). Intra-application shared cache partitioning for multithreaded applications. ACM SIGPLAN Notices. 45(5). 329–330. 1 indexed citations
9.
Raghavan, Padma, et al.. (2010). T-NUCA - a novel approach to non-uniform access latency cache architectures for 3D CMPs. 37. 1–8. 2 indexed citations
10.
Muralidhara, Sai Prashanth, Mahmut Kandemir, & Padma Raghavan. (2010). Intra-application shared cache partitioning for multithreaded applications. 329–330. 4 indexed citations
11.
Son, Seung Woo, et al.. (2009). Markov Model Based Disk Power Management for Data Intensive Workloads. 76–83. 15 indexed citations
12.
Li, Feihui, et al.. (2008). Ring data location prediction scheme for Non-Uniform Cache Architectures. 34. 693–698. 3 indexed citations
13.
Heroux, Michael A., Padma Raghavan, & Horst D. Simon. (2006). Parallel Processing for Scientific Computing (Software, Environments and Tools). Society for Industrial and Applied Mathematics eBooks. 13 indexed citations
14.
Heroux, Michael A., et al.. (2006). Parallel Processing for Scientific Computing. Society for Industrial and Applied Mathematics eBooks. 65 indexed citations
15.
Raghavan, Padma, et al.. (2006). Effective Preconditioning through Ordering Interleaved with Incomplete Factorization. SIAM Journal on Matrix Analysis and Applications. 27(4). 1069–1088. 10 indexed citations
16.
Jones, Mark T., Michael A. Langston, & Padma Raghavan. (1998). <title>Tools for mapping applications to CCMs</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3526. 72–80. 2 indexed citations
17.
Raghavan, Padma. (1997). Parallel ordering using edge contraction. Parallel Computing. 23(8). 1045–1067. 9 indexed citations
18.
Heath, Michael T. & Padma Raghavan. (1995). A Cartesian Parallel Nested Dissection Algorithm. SIAM Journal on Matrix Analysis and Applications. 16(1). 235–253. 54 indexed citations
19.
Raghavan, Padma. (1992). Distributed sparse matrix factorization: QR and Cholesky decompositions. 4 indexed citations
20.
Pothen, Alex & Padma Raghavan. (1989). Distributed Orthogonal Factorization: Givens and Householder Algorithms. SIAM Journal on Scientific and Statistical Computing. 10(6). 1113–1134. 38 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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