E. V. Krishnamurthy

1.1k citations
99 papers · 697 indexed · h-index 14

Impact in

Papers in

E. V. Krishnamurthy

88 papers receiving 634 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
Replace M. Donald MacLaren with:
M. Donald MacLaren United States
L. D. Baumert United States
Paul S. Wang United States
Richard Zippel United States
J. Katzenelson Israel
Norman E. Gibbs United States
de Ng Dick Bruijn Netherlands
Jim Lawrence United States
Andrzej Trybulec Poland
René Peralta United States
E. V. Krishnamurthy relative to M. Donald MacLaren United States M. Donald MacLaren's profile →
Citations per field
00.5×
M. Donald MacLaren · 1×
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-authorship network

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
#Work
1 200650
2 20060
3 20052
4 19994
5 19954
6 199427
7
Transaction processing systems
199117
8 19871
9 198513
10 19801
11 197813
12 19785
13 19741
14 197310
15 197321
16 19715
17 196710
18 19651
19 19651
20 19655

About E. V. Krishnamurthy

E. V. Krishnamurthy is a scholar working on Computational Mathematics, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 99 papers that have together received 697 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), Distributed systems and fault tolerance (7 papers), Matrix Theory and Algorithms (7 papers), Digital Filter Design and Implementation (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, H. Venkateswaran and H. Schröder. Their work appears in journals such as IEEE Transactions on Computers, Parallel Computing, Proceedings of the IEEE, International Journal of Control and Communications of the ACM.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026