Mayur Thakur

400 citations
22 papers · 223 · h-index 8

Impact in

Papers in

Mayur Thakur

19 papers receiving 214 citations

Peers

Mayur Thakur
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 71
  • Computer Networks and Communications 86
  • Management of Technology and Innovation 16
  • Industrial and Manufacturing Engineering 23
  • Artificial Intelligence 61
Replace Zuo Dai with:
Zuo Dai China
Mondher Maddouri Tunisia
D. R. McGregor United Kingdom
Andrea Vandin Italy
David Koester United States
A.P.A. van Moorsel United States
Predrag T. Tošić United States
Ramesh Viswanathan United States
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Citations per field
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Citations per year

Countries citing papers authored by Mayur Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mayur Thakur, 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 Mayur Thakur Line = papers co-authored together Mayur Thakur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201346
2 200738
3 201335
4 200927
5 200620
6
Computational aspects of analyzing social network dynamics
20077
7 20037
8 20077
9 20077
10 20106
11 20054
12 20144
13 20053
14 20043
15
Computational Complexity of Analyzing the Dynamic Reliability of Interdependent Infrastructures
20062
16 20162
17 20092
18 20121
19
Evaluation of human neutrophil pmn function following interaction with a monoclonal antibody mab
19891
20 20131

About Mayur Thakur

Mayur Thakur is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Molecular Biology and Information Systems, having authored 22 papers that have together received 223 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), semigroups and automata theory (4 papers), Computability, Logic, AI Algorithms (3 papers), Optimization and Search Problems (3 papers), Advanced Graph Theory Research (3 papers), Complex Network Analysis Techniques (3 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (71 citations), Computer Networks and Communications (86 citations), Management of Technology and Innovation (16 citations), Industrial and Manufacturing Engineering (23 citations) and Artificial Intelligence (61 citations). Mayur Thakur has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Vahab Mirrokni, Rahul Tripathi, Sanjay Madria, Chris Barrett, Richard E. Stearns, Madhav Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Harry B. Hunt and Christopher M. Homan. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Journal of Computer and System Sciences, Ad Hoc Networks and Winter Simulation Conference.

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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