N. S. Sridharan

28 papers receiving 415 citations

Peers

N. S. Sridharan
Comparison fields: 5 of 75
  • Artificial Intelligence 281
  • Computational Theory and Mathematics 119
  • Computer Networks and Communications 64
  • Geometry and Topology 56
  • Computer Vision and Pattern Recognition 39
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Borka Jerman-Blažič Slovenia
Larry Masinter United States
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Gabriel Ciobanu Romania
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Citations per field
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Citations per year

Countries citing papers authored by N. S. Sridharan

Since Specialization
Citations

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

Fields of papers citing papers by N. S. Sridharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. S. Sridharan. 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 N. S. Sridharan. The network helps show where N. S. Sridharan may publish in the future.

Co-authorship network of co-authors of N. S. Sridharan

This figure shows the co-authorship network connecting the top 25 collaborators of N. S. Sridharan. A scholar is included among the top collaborators of N. S. Sridharan 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 N. S. Sridharan. N. S. Sridharan 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 11
2 2
3
The Wiener index of odd graphs
1
4
A Sharp Lower Bound for the Wiener Index of a Graph.
3
5 20
6
A Note On Excellent Graphs.
2
7
Real-time AI systems: a definition and an architecture
18
8 3
9
1986 Workshop on Distributed AI (Report).
5
10
1986 Workshop on Distributed AI
13
11 9
12 1
13
The representation of an evolving system of legal concepts: II. phototypes and deformations
49
14 9
15
Representation of actions that have side-effects
6
16
Plan recognition using a hypothesize and revise paradigm: an example
8
17
The frame and focus problems in AI: discussion in relation to the Believer system
3
18
Recognizing plans and summarizing actions
7
19
Search strategies for the task of organic chemical synthesis
2
20
A Heuristic Program to Discover Syntheses for Complex Organic Molecules.
1

About N. S. Sridharan

N. S. Sridharan is a scholar working on Computational Theory and Mathematics, Theoretical Computer Science and Discrete Mathematics and Combinatorics, having authored 35 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (8 papers), Graph Labeling and Dimension Problems (7 papers) and AI-based Problem Solving and Planning (7 papers). The work is most often cited by research in Artificial Intelligence (281 citations), Computational Theory and Mathematics (119 citations) and Geometry and Topology (56 citations). N. S. Sridharan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Charles F. Schmidt, Dennis H. Smith, Larry Masinter, Joshua Lederberg, B. Ramachandran, Raymond E. Carhart, Rajendra Dodhiawala, Cynthia Pickering, Susan L. Epstein and D. Sleeman. Their work appears in journals such as Journal of the American Chemical Society, Artificial Intelligence and Computers & Mathematics with Applications.

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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