Sampath Kannan

3.8k total citations
67 papers, 1.8k citations indexed

About

Sampath Kannan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Sampath Kannan has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 13 papers in Molecular Biology. Recurrent topics in Sampath Kannan's work include Algorithms and Data Compression (17 papers), Complexity and Algorithms in Graphs (16 papers) and Machine Learning and Algorithms (9 papers). Sampath Kannan is often cited by papers focused on Algorithms and Data Compression (17 papers), Complexity and Algorithms in Graphs (16 papers) and Machine Learning and Algorithms (9 papers). Sampath Kannan collaborates with scholars based in United States, Canada and Netherlands. Sampath Kannan's co-authors include Manuel Blum, Joan Feigenbaum, Mahesh Viswanathan, Insup Lee, Andrew McGregor, Siddharth Suri, Oleg Sokolsky, Tandy Warnow, Moni Naor and Steven Rudich and has published in prestigious journals such as Nucleic Acids Research, Computer and Journal of the ACM.

In The Last Decade

Sampath Kannan

66 papers receiving 1.7k citations

Peers

Sampath Kannan
Comparison fields: 5 of 97
  • Artificial Intelligence 961
  • Computational Theory and Mathematics 745
  • Computer Networks and Communications 540
  • Information Systems 223
  • Molecular Biology 209
Replace Marek Karpiński with:
Marek Karpiński Germany
Derick Wood Canada
Daniel S. Hirschberg United States
D. S. Hirschberg United States
Daniel P. Miranker United States
Jan Van Leeuwen Netherlands
Ming‐Yang Kao United States
J. W. Thatcher United States
R. K. Shyamasundar India
Hisao Tamaki Japan
Marek Karpiński Germany View profile →
Citations per field, relative to Sampath Kannan
Sampath Kannan · 1×
Citations per year, relative to Sampath Kannan
Sampath Kannan · 1×

Countries citing papers authored by Sampath Kannan

Since Specialization
Citations

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

Fields of papers citing papers by Sampath Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sampath Kannan

This figure shows the co-authorship network connecting the top 25 collaborators of Sampath Kannan. A scholar is included among the top collaborators of Sampath Kannan 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 Sampath Kannan. Sampath Kannan 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
# Work Indexed citations
1 1
2 11
3 6
4 60
5 38
6 2
7 2
8 11
9 65
10 178
11
Optimal Control of Software Ensuring Safety and Functionality
2
12 69
13
Runtime Assurance Based On Formal Specifications
108
14 20
15 11
16 8
17 22
18 16
19
Weighted Decision Trees.
3
20 21

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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