E. V. Krishnamurthy

1.1k citations
99 papers · 696 · h-index 14

Impact in

Papers in

E. V. Krishnamurthy

88 papers receiving 633 citations

Peers

E. V. Krishnamurthy
Comparison fields: 5 of 84
  • Computational Theory and Mathematics 335
  • Numerical Analysis 65
  • Hardware and Architecture 51
  • Computational Mathematics 4
  • Software 24
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Citations per year

Countries citing papers authored by E. V. Krishnamurthy

Since Specialization
Citations

This map shows the geographic impact of E. V. Krishnamurthy'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 E. V. Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. V. Krishnamurthy more than expected).

Fields of papers citing papers by E. V. Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. V. Krishnamurthy. 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 E. V. Krishnamurthy. The network helps show where E. V. Krishnamurthy may publish in the future.

Co-authors

The 21 scholars most cited alongside E. V. Krishnamurthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. V. Krishnamurthy Line = papers co-authored together E. V. Krishnamurthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198478
2 200650
3
Parallel Processing: Principles and Practice
198936
4 197231
5 197629
6 197528
7 197028
8 199427
9 199527
10 197321
11
Transaction processing systems
199117
12 197817
13 197016
14 197513
15 197413
16 198513
17 197813
18 198313
19 196312
20 196710

About E. V. Krishnamurthy

E. V. Krishnamurthy is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 696 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (24 papers), Computability, Logic, AI Algorithms (10 papers), Cellular Automata and Applications (9 papers), Polynomial and algebraic computation (9 papers), Digital Filter Design and Implementation (7 papers), Matrix Theory and Algorithms (7 papers), Distributed systems and fault tolerance (7 papers) and Digital Image Processing Techniques (5 papers). The work is most often cited by research in Computational Theory and Mathematics (335 citations), Numerical Analysis (65 citations), Hardware and Architecture (51 citations), Computational Mathematics (4 citations) and Software (24 citations). E. V. Krishnamurthy has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Robert T. Gregory, P.V. Sankar, Shin‐Ho Chung, K. G. Subramanian, Sveta Chakrabarti, K. Subramanian, Sagar Sen, S. S. Prabhu, Sunder Ram Krishnan and H. Venkateswaran. Their work appears in journals such as IEEE Transactions on Computers, Parallel Computing, Proceedings of the IEEE, International Journal of Modern Physics C and International Journal of Control.

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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