Arcot Rajasekar

975 citations
32 papers · 408 indexed · h-index 9

Arcot Rajasekar

29 papers receiving 347 citations

Peers

Arcot Rajasekar
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 159
  • Artificial Intelligence 319
  • Computer Networks and Communications 95
  • Information Systems and Management 18
  • Signal Processing 25
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Faith Ellen Canada
María I. Sessa Italy
John Maraist United Kingdom
Dominic Orchard United Kingdom
Vince Bárány Germany
Lauri Hella Finland
Hans‐Wolfgang Loidl United Kingdom
Linh Anh Nguyen Poland
Sigbjørn Finne United Kingdom
Philippe Balbiani France
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Citations per year

Countries citing papers authored by Arcot Rajasekar

Since Specialization
Citations

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

Fields of papers citing papers by Arcot Rajasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Arcot Rajasekar, 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 Arcot Rajasekar Line = papers co-authored together Arcot Rajasekar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20232
5 20233
6
Study of Image Denoising
20131
7
iRODS: A Distributed Data Management Cyberinfrastructure for Observatories
20075
8
Digital Image Support in the ROADNet Real-time Monitoring Platform
20041
9
Integration of Kepler with ROADNet: Visual Dataflow Design with Real-time Geophysical Data
20041
10
ROADNET: A Real-time Data Aware System for Earth, Oceanographic, and Environmental Applications
20036
11
Virtualizing Data Access for Generalized Geophysical Processing Systems
20021
12 199537
13 19953
14
Constraint logic programming on strings: theory and applications
19942
15 199127
16 199046
17
Extending the Semantics of Logic Programs to Disjunctive Logic Programs.
19897
18 19894
19
A Stratification Semantics for General Disjunctive Programs.
19894
20 19888

About Arcot Rajasekar

Arcot Rajasekar is a scholar working on Health Informatics, Computational Theory and Mathematics and Artificial Intelligence, having authored 32 papers that have together received 408 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (13 papers), Logic, programming, and type systems (8 papers), Distributed and Parallel Computing Systems (5 papers), Semantic Web and Ontologies (5 papers), Advanced Algebra and Logic (4 papers), Formal Methods in Verification (4 papers), Advanced Data Storage Technologies (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computational Theory and Mathematics (159 citations), Artificial Intelligence (319 citations) and Computer Networks and Communications (95 citations). Arcot Rajasekar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Jack Minker, Jorge Lobo, Minghua Shan, Frederick A. Schmitt, J. Wesson Ashford, F. L. Vernon, John A. Orcutt, Roger Moore, Victor W. Marek and Terry Gaasterland. Their work appears in journals such as Computer Modeling in Engineering & Sciences, The Journal of Logic Programming, Theoretical Computer Science, Frontiers in Neuroinformatics and Journal of Automated Reasoning.

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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