Padma Raghavan

1.2k total citations
75 papers, 678 citations indexed

About

Padma Raghavan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Padma Raghavan has authored 75 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 36 papers in Hardware and Architecture and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Padma Raghavan's work include Parallel Computing and Optimization Techniques (35 papers), Interconnection Networks and Systems (15 papers) and Matrix Theory and Algorithms (14 papers). Padma Raghavan is often cited by papers focused on Parallel Computing and Optimization Techniques (35 papers), Interconnection Networks and Systems (15 papers) and Matrix Theory and Algorithms (14 papers). Padma Raghavan collaborates with scholars based in United States, France and Spain. Padma Raghavan's co-authors include Mahmut Kandemir, Manu Shantharam, Esmond Ng, M.J. Irwin, Gong Chen, Keita Teranishi, Hongyang Sun, Michael T. Heath, Yang Ding and Henrik I. Christensen and has published in prestigious journals such as Journal of Neurophysiology, Communications of the ACM and International Journal for Numerical Methods in Engineering.

In The Last Decade

Padma Raghavan

70 papers receiving 636 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 15 350 327 158 128 127 75 678
Theodore S. Papatheodorou Greece 14 257 0.7× 209 0.6× 131 0.8× 67 0.5× 151 1.2× 96 734
Mohammad Zubair United States 17 409 1.2× 275 0.8× 246 1.6× 49 0.4× 101 0.8× 120 925
Liquan Xiao China 11 209 0.6× 130 0.4× 55 0.3× 75 0.6× 51 0.4× 60 478
Ras Bodik United States 4 875 2.5× 931 2.8× 208 1.3× 184 1.4× 77 0.6× 6 1.3k
Alexey Lastovetsky Ireland 22 1.1k 3.0× 975 3.0× 430 2.7× 146 1.1× 44 0.3× 127 1.4k
Sandeep Bhatt United States 18 727 2.1× 345 1.1× 80 0.5× 463 3.6× 383 3.0× 52 1.1k
Dinesh P. Mehta United States 11 186 0.5× 192 0.6× 20 0.1× 346 2.7× 99 0.8× 45 697
C.-T. Ho United States 7 704 2.0× 272 0.8× 118 0.7× 212 1.7× 118 0.9× 14 826
Michael Day United States 6 652 1.9× 742 2.3× 61 0.4× 286 2.2× 63 0.5× 6 1.1k
C. Johns United States 6 757 2.2× 844 2.6× 98 0.6× 318 2.5× 72 0.6× 8 1.2k

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.
Sun, Hongyang, et al.. (2023). Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts. 488–491. 1 indexed citations
2.
Sun, Hongyang, et al.. (2023). Multi-resource scheduling of moldable workflows. Journal of Parallel and Distributed Computing. 184. 104792–104792. 3 indexed citations
3.
Benoît, Anne, et al.. (2021). Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors. IEEE Transactions on Computers. 71(7). 1696–1710. 2 indexed citations
4.
Sun, Hongyang, et al.. (2020). Increase in internetwork functional connectivity in the human brain with attention capture. Journal of Neurophysiology. 124(6). 1885–1899. 3 indexed citations
5.
Sun, Hongyang, et al.. (2018). Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. HAL (Le Centre pour la Communication Scientifique Directe). 194–203. 13 indexed citations
6.
Raghavan, Padma, et al.. (2011). Exploiting sparsity, structure, and geometry for knowledge discovery. 1 indexed citations
7.
Raghavan, Padma, et al.. (2010). Analyzing the soft error resilience of linear solvers on multicore multiprocessors. 30. 1–12. 23 indexed citations
8.
Ding, Yang, et al.. (2008). Towards energy efficient scaling of scientific codes. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 12 indexed citations
9.
Ding, Yang, Mahmut Kandemir, Padma Raghavan, & M.J. Irwin. (2008). A helper thread based EDP reduction scheme for adapting application execution in CMPs. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 49. 1–14. 26 indexed citations
10.
Butler, Kevin, et al.. (2007). Analysis of the IPv4 Address Space Delegation Structure. 501–508. 5 indexed citations
11.
Raghavan, Padma, et al.. (2006). Conjugate gradient sparse solvers: performance-power characteristics. International Parallel and Distributed Processing Symposium. 297–297. 7 indexed citations
12.
Raghavan, Padma, et al.. (2006). On improving performance and energy profiles of sparse scientific applications. International Parallel and Distributed Processing Symposium. 290–290. 3 indexed citations
13.
Liu, Zi‐Kui, Long‐Qing Chen, Padma Raghavan, et al.. (2004). An integrated framework for multi-scale materials simulation and design. Journal of Computer-Aided Materials Design. 11(2-3). 183–199. 39 indexed citations
14.
Raghavan, Padma, Keita Teranishi, & Esmond Ng. (2003). A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numerical Linear Algebra with Applications. 10(5-6). 541–560. 8 indexed citations
15.
Teranishi, Keita, Padma Raghavan, & Esmond Ng. (2002). A New Data-Mapping Scheme for Latency-Tolerant Distributed Sparse Triangular Solution. Conference on High Performance Computing (Supercomputing). 1–11. 5 indexed citations
16.
Berry, Michael W., et al.. (2001). Symbolic preprocessing techniques for information retrieval using vector space models. Society for Industrial and Applied Mathematics eBooks. 75–86. 1 indexed citations
17.
Ng, Esmond & Padma Raghavan. (2000). Towards a scalable hybrid sparse solver. Concurrency Practice and Experience. 12(23). 53–68. 2 indexed citations
18.
Raghavan, Padma, et al.. (1994). O(N1.5) solution of hybrid FEM problems. 1. 447–450. 1 indexed citations
19.
Raghavan, Padma. (1972). Asymptotic stability of linear discrete systems containing uncertain parameters. International Journal of Control. 15(6). 1193–1196. 1 indexed citations
20.
Raghavan, Padma. (1972). Asymptotic stablity of linear continuous systems containing uncertain parameters†. International Journal of Control. 16(2). 337–342. 1 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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