Sanjeeb Dash

1.5k citations
47 papers · 727 · h-index 15

Impact in

Papers in

Sanjeeb Dash

45 papers receiving 666 citations

Peers

Sanjeeb Dash
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 343
  • Numerical Analysis 103
  • Computational Theory and Mathematics 279
  • Computer Graphics and Computer-Aided Design 54
  • Transportation 41
Replace Cid C. de Souza with:
Cid C. de Souza Brazil
Stefan E. Karisch Austria
Michele Conforti Italy
Jean‐Claude Picard United States
Wenxing Zhu China
L. E. Trotter United States
Bettina Klinz Austria
Didier El Baz France
Tania Querido United States
Matthew J. Saltzman United States
Sanjeeb Dash relative to Cid C. de Souza Brazil Cid C. de Souza's profile →
Citations per field
00.5×1.5×2.4×
Cid C. de Souza · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200295
2 201063
3 200759
4 201648
5 202343
6 201042
7 200140
8 200535
9 200833
10 200921
11 200520
12 200620
13 201119
14 201818
15 201014
16 200513
17 201411
18 201311
19 20249
20 20099

About Sanjeeb Dash

Sanjeeb Dash is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Numerical Analysis, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 47 papers that have together received 727 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (19 papers), Vehicle Routing Optimization Methods (17 papers), Advanced Graph Theory Research (16 papers), Optimization and Packing Problems (12 papers), Advanced Optimization Algorithms Research (8 papers), Computational Geometry and Mesh Generation (7 papers), Formal Methods in Verification (6 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (343 citations), Numerical Analysis (103 citations), Computational Theory and Mathematics (279 citations), Computer Graphics and Computer-Aided Design (54 citations) and Transportation (41 citations). Sanjeeb Dash has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Oktay Günlük, William J. Cook, David Applegate, Andrea Lodi, André Rohe, Andrea Tramontani, Marcos Goycoolea, Merve Bodur, James Luedtke and Uday Bondhugula. Their work appears in journals such as Mathematical Programming, INFORMS journal on computing, Operations Research Letters, Nature Communications and Mathematics of Operations Research.

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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