Padma Raghavan
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 10%
Papers in
-
- Interconnection Networks and Systems 15
- Distributed and Parallel Computing Systems 11
- Advanced Data Storage Technologies 10
-
- Parallel Computing and Optimization Techniques 35
- Co-authors
- Mahmut Kandemir (11 shared papers)Manu Shantharam (5 shared papers)Esmond Ng (7 shared papers)M.J. Irwin (10 shared papers)Gong Chen (1 shared paper)Keita Teranishi (7 shared papers)Hongyang Sun (12 shared papers)Yang Ding (3 shared papers)
- Journals
- The International Journal of High Performance Computing Applications (4 papers)International Journal of Control (3 papers)Journal of Parallel and Distributed Computing (3 papers)International Journal for Numerical Methods in Engineering (2 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Padma Raghavan
70 papers receiving 636 citations
Peers
Comparison fields: 5 of 85
- Hardware and Architecture 327
- Computational Mathematics 16
- Computer Networks and Communications 350
- Computational Theory and Mathematics 127
- Information Systems 158
Countries citing papers authored by Padma Raghavan
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
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-authors
The 25 scholars most cited alongside Padma Raghavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2005 | 50 | |
| 3 | 2011 | 45 | |
| 4 | 2004 | 39 | |
| 5 | 2008 | 26 | |
| 6 | 2012 | 24 | |
| 7 | 2010 | 23 | |
| 8 | 2012 | 21 | |
| 9 | 1999 | 21 | |
| 10 | 1998 | 20 | |
| 11 | 2010 | 18 | |
| 12 | 2005 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2007 | 16 | |
| 15 | 1997 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2008 | 12 | |
| 18 | Line and plane separators | 1993 | 12 |
| 19 | 2019 | 11 | |
| 20 | 2015 | 10 |
About Padma Raghavan
Padma Raghavan is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 75 papers that have together received 678 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (35 papers), Interconnection Networks and Systems (15 papers), Matrix Theory and Algorithms (14 papers), Distributed and Parallel Computing Systems (11 papers), Cloud Computing and Resource Management (10 papers), Advanced Data Storage Technologies (10 papers), Electromagnetic Scattering and Analysis (6 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (327 citations), Computational Mathematics (16 citations), Computer Networks and Communications (350 citations), Computational Theory and Mathematics (127 citations) and Information Systems (158 citations). Padma Raghavan has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Mahmut Kandemir, Manu Shantharam, Esmond Ng, M.J. Irwin, Gong Chen, Keita Teranishi, Hongyang Sun, Yang Ding, Michael T. Heath and Alexander S. Szalay. Their work appears in journals such as The International Journal of High Performance Computing Applications, International Journal of Control, Journal of Parallel and Distributed Computing, International Journal for Numerical Methods in Engineering and SIAM Journal on Scientific Computing.
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.