Arcot Rajasekar

29 papers receiving 347 citations

Peers

Arcot Rajasekar
Comparison fields: 5 of 67
  • Artificial Intelligence 319
  • Computational Theory and Mathematics 159
  • Computer Networks and Communications 95
  • Signal Processing 25
  • Psychiatry and Mental health 25
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María I. Sessa Italy
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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 of co-authors of Arcot Rajasekar

This figure shows the co-authorship network connecting the top 25 collaborators of Arcot Rajasekar. A scholar is included among the top collaborators of Arcot Rajasekar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arcot Rajasekar. Arcot Rajasekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 3
6
Study of Image Denoising
1
7
iRODS: A Distributed Data Management Cyberinfrastructure for Observatories
5
8
Digital Image Support in the ROADNet Real-time Monitoring Platform
1
9
Integration of Kepler with ROADNet: Visual Dataflow Design with Real-time Geophysical Data
1
10
ROADNET: A Real-time Data Aware System for Earth, Oceanographic, and Environmental Applications
6
11
Virtualizing Data Access for Generalized Geophysical Processing Systems
1
12 37
13 3
14
Constraint logic programming on strings: theory and applications
2
15 27
16 46
17
Extending the Semantics of Logic Programs to Disjunctive Logic Programs.
7
18 4
19
A Stratification Semantics for General Disjunctive Programs.
4
20 8

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) and Distributed and Parallel Computing Systems (5 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 Theoretical Computer Science, Dementia and Geriatric Cognitive Disorders and Frontiers in Neuroinformatics.

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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