K. Subramani

968 citations
65 papers · 217 · h-index 8

Impact in

Papers in

K. Subramani

44 papers receiving 198 citations

Peers

K. Subramani
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 143
  • Software 20
  • Computer Networks and Communications 95
  • Artificial Intelligence 99
  • Hardware and Architecture 19
Replace Stephen M. Majercik with:
Stephen M. Majercik United States
Yahia Lebbah Algeria
Ramtin Khosravi Iran
Sophie Pinchinat France
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Jordi Levy Spain
Roberto Asín‐Achá Chile
Pablo Rabanal Spain
V. S. Alagar Canada
Neng‐Fa Zhou United States
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Citations per year

Countries citing papers authored by K. Subramani

Since Specialization
Citations

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

Fields of papers citing papers by K. Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Subramani. 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 K. Subramani. The network helps show where K. Subramani may publish in the future.

Co-authors

The 19 scholars most cited alongside K. Subramani, 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 K. Subramani Line = papers co-authored together K. Subramani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200947
2 200712
3 200911
4 200710
5 200610
6 20049
7 20187
8 20077
9 20177
10 20137
11 20057
12 20076
13 20196
14 20095
15 20115
16 20045
17 20165
18 20134
19 20054
20 20173

About K. Subramani

K. Subramani is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture and Signal Processing, having authored 65 papers that have together received 217 indexed citations. Recurring topics across this work include Formal Methods in Verification (36 papers), Complexity and Algorithms in Graphs (18 papers), Logic, programming, and type systems (17 papers), Constraint Satisfaction and Optimization (16 papers), Advanced Graph Theory Research (13 papers), Optimization and Search Problems (12 papers), Real-Time Systems Scheduling (8 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computational Theory and Mathematics (143 citations), Software (20 citations), Computer Networks and Communications (95 citations), Artificial Intelligence (99 citations) and Hardware and Architecture (19 citations). K. Subramani has collaborated with scholars based in United States, Italy and Greece. Frequent co-authors include James B. Orlin, Kamesh Madduri, Hans Kleine Büning, Randal E. Bryant, Kim G. Larsen, Jacob Illum Rasmussen, Sanjit A. Seshia, Ojas Parekh, R. Chandrasekaran and Ashish Gehani. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Journal of Combinatorial Optimization, Journal of Automated Reasoning and Algorithmica.

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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