Sanjeeb Dash

53 papers receiving 939 citations

Peers

Sanjeeb Dash
Comparison fields: 5 of 59
  • Numerical Analysis 502
  • Computational Theory and Mathematics 348
  • Industrial and Manufacturing Engineering 171
  • Hardware and Architecture 48
  • Discrete Mathematics and Combinatorics 21
Replace Giacomo Zambelli with:
Giacomo Zambelli Italy
Robert G. Bland United States
Hans van Maaren Netherlands
Roland Wunderling United States
Gábor Pataki United States
H. T. Lau Taiwan
Jean‐Claude Picard United States
Pablo San Segundo Spain
Mikhail Anatol'evich Posypkin Russia
Mark W. Lewis United States
Sanjeeb Dash relative to Giacomo Zambelli Italy Giacomo Zambelli's profile →
Citations per field
00.5×5×10×16×
Giacomo Zambelli · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002108
2 200780
3 201061
4 200158
5 201654
6 202350
7 200548
8 200846
9 201046
10 200633
11 200932
12 201127
13 200526
14 200725
15 200223
16 201622
17 201721
18 200519
19 201018
20 200715

About Sanjeeb Dash

Sanjeeb Dash is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Artificial Intelligence, Algebra and Number Theory and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (42 papers), Complexity and Algorithms in Graphs (24 papers), Machine Learning in Materials Science (2 papers), Model Reduction and Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Vehicle Routing Optimization Methods (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Analytic Number Theory Research (2 papers). The work is most often cited by research in Numerical Analysis (502 citations), Computational Theory and Mathematics (348 citations), Industrial and Manufacturing Engineering (171 citations), Hardware and Architecture (48 citations) and Discrete Mathematics and Combinatorics (21 citations). Sanjeeb Dash has collaborated with scholars based in United States, Chile and Italy. Frequent co-authors include Oktay Günlük, William J. Cook, David Applegate, Andrea Lodi, André Rohe, Marcos Goycoolea, Merve Bodur, Andrea Tramontani, James Luedtke and Ricardo Fukasawa. Their work appears in journals such as Mathematical Programming, INFORMS journal on computing, Operations Research Letters, Discrete Optimization and Nature Communications.

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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