Sanjeeb Dash

1.5k citations
56 papers · 933 · h-index 18

Impact in

Papers in

Sanjeeb Dash

52 papers receiving 850 citations

Peers

Sanjeeb Dash
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 425
  • Computer Graphics and Computer-Aided Design 93
  • Numerical Analysis 136
  • Computational Theory and Mathematics 396
  • Transportation 43
Replace Jean‐Claude Picard with:
Jean‐Claude Picard United States
P. M. Camerini Italy
Michael D. Grigoriadis United States
Stefan E. Karisch Austria
Fabián A. Chudak United States
Bettina Klinz Austria
Roland Wunderling Germany
Ravishankar Krishnaswamy United States
Wenxing Zhu China
Bertrand Neveu France
Sanjeeb Dash relative to Jean‐Claude Picard United States Jean‐Claude Picard's profile →
Citations per field
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Jean‐Claude Picard · 1×
Citations per year

Countries citing papers authored by Sanjeeb Dash

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeeb Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002106
2 200774
3 201065
4 200151
5 201650
6 202344
7 200543
8 200843
9 201043
10 200632
11 200931
12 201125
13 200725
14 200523
15 201822
16 201721
17 200221
18 200518
19 201017
20 200713

About Sanjeeb Dash

Sanjeeb Dash is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Artificial Intelligence, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 56 papers that have together received 933 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (22 papers), Advanced Graph Theory Research (19 papers), Vehicle Routing Optimization Methods (18 papers), Optimization and Packing Problems (15 papers), Advanced Optimization Algorithms Research (9 papers), Computational Geometry and Mesh Generation (9 papers), Formal Methods in Verification (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (425 citations), Computer Graphics and Computer-Aided Design (93 citations), Numerical Analysis (136 citations), Computational Theory and Mathematics (396 citations) and Transportation (43 citations). Sanjeeb Dash has collaborated with scholars based in United States, Chile and Italy. Frequent co-authors include Oktay Günlük, William J. Cook, Andrea Lodi, David Applegate, André Rohe, Marcos Goycoolea, Andrea Tramontani, Merve Bodur, James Luedtke and Ricardo Fukasawa. Their work appears in journals such as Mathematical Programming, INFORMS journal on computing, Operations Research Letters, Nature Communications and Discrete Optimization.

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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