Pritish Kamath

453 total citations
21 papers, 168 citations indexed

About

Pritish Kamath is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Pritish Kamath has authored 21 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 3 papers in Software. Recurrent topics in Pritish Kamath's work include Complexity and Algorithms in Graphs (12 papers), Machine Learning and Algorithms (7 papers) and Cryptography and Data Security (6 papers). Pritish Kamath is often cited by papers focused on Complexity and Algorithms in Graphs (12 papers), Machine Learning and Algorithms (7 papers) and Cryptography and Data Security (6 papers). Pritish Kamath collaborates with scholars based in United States, India and Canada. Pritish Kamath's co-authors include Ramprasad Saptharishi, Ankit Gupta, Neeraj Kayal, Julie Shah, Shen Li, Mika Göös, Toniann Pitassi, Bernhard Haeupler, Ameya Velingker and Thomas Watson and has published in prestigious journals such as The International Journal of Robotics Research, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Pritish Kamath

18 papers receiving 152 citations

Peers

Pritish Kamath
Comparison fields: 5 of 26
  • Computational Theory and Mathematics 124
  • Artificial Intelligence 111
  • Computer Networks and Communications 16
  • Algebra and Number Theory 12
  • Electrical and Electronic Engineering 12
Replace Ramprasad Saptharishi with:
Ramprasad Saptharishi India
Emmanuel Thomé France
Hervé Fournier France
Reynald Lercier France
Clément Pernet France
Jun Tarui Japan
M.J. Coster Netherlands
Jaume Martí-Farré Spain
Jan van den Brand United States
David Kohel Australia
Ramprasad Saptharishi India View profile →
Citations per field, relative to Pritish Kamath
Pritish Kamath · 1×
Citations per year, relative to Pritish Kamath
Pritish Kamath · 1×

Countries citing papers authored by Pritish Kamath

Since Specialization
Citations

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

Fields of papers citing papers by Pritish Kamath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritish Kamath

This figure shows the co-authorship network connecting the top 25 collaborators of Pritish Kamath. A scholar is included among the top collaborators of Pritish Kamath 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 Pritish Kamath. Pritish Kamath 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 0
3 0
4 3
5 2
6
2
7
0
8 2
9 3
10
Bayesian Inference of Temporal Task Specifications from Demonstrations
29
11 8
12 1
13 1
14 19
15 6
16 20
17 37
18 25
19
An exponential lower bound for homogeneous depth four arithmetic circuits with bounded bottom fanin.
4
20 3

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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