Mohit Singh

72 papers receiving 724 citations

Peers

Mohit Singh
Comparison fields: 5 of 88
  • Computational Theory and Mathematics 363
  • Computer Graphics and Computer-Aided Design 56
  • Computer Networks and Communications 332
  • Industrial and Manufacturing Engineering 122
  • Management Science and Operations Research 111
Replace Rico Zenklusen with:
Rico Zenklusen Switzerland
Akiyoshi Shioura Japan
Jochen Könemann Canada
Giorgio Gambosi Italy
Boris Goldengorin Netherlands
M. X. Goemans United States
Gerard Sierksma Netherlands
Walter Kern Netherlands
Julia Chuzhoy United States
Debmalya Panigrahi United States
Mohit Singh relative to Rico Zenklusen Switzerland Rico Zenklusen's profile →
Citations per field
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Rico Zenklusen · 1×
Citations per year

Countries citing papers authored by Mohit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohit Singh, 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 Mohit Singh Line = papers co-authored together Mohit Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 200769
3 201169
4 200739
5 200936
6 200536
7 201530
8 201524
9 201024
10 201323
11 201723
12 200821
13 200616
14 201616
15 201316
16 200215
17 201415
18 201414
19 200814
20 201212

About Mohit Singh

Mohit Singh is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence, having authored 81 papers that have together received 782 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (26 papers), Optimization and Search Problems (16 papers), Advanced Graph Theory Research (16 papers), Quantum Dots Synthesis And Properties (8 papers), Vehicle Routing Optimization Methods (7 papers), Facility Location and Emergency Management (6 papers), Computational Geometry and Mesh Generation (6 papers) and Chalcogenide Semiconductor Thin Films (6 papers). The work is most often cited by research in Computational Theory and Mathematics (363 citations), Computer Graphics and Computer-Aided Design (56 citations), Computer Networks and Communications (332 citations), Industrial and Manufacturing Engineering (122 citations) and Management Science and Operations Research (111 citations). Mohit Singh has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Lap Chi Lau, R. Ravi, Shayan Oveis Gharan, Amin Saberi, Joseph Naor, Mohammad R. Salavatipour, Ola Svensson, Aleksandar Nikolov, Kedar Dhamdhere and Vineet Goyal. Their work appears in journals such as Mathematics of Operations Research, SIAM Journal on Computing, Operations Research Letters, Proceedings of the VLDB Endowment and INFORMS journal on computing.

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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