Sanjeeb Dash

1.5k citations
46 papers · 714 indexed · h-index 15

Sanjeeb Dash

44 papers receiving 650 citations

Peers

Sanjeeb Dash
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 341
  • Numerical Analysis 101
  • Computational Theory and Mathematics 278
  • Computer Graphics and Computer-Aided Design 53
  • Transportation 40
Replace Cid C. de Souza with:
Cid C. de Souza Brazil
Michele Conforti Italy
Stefan E. Karisch Austria
Jean‐Claude Picard Canada
L. E. Trotter United States
Wenxing Zhu China
Tania Querido Brazil
Rhyd Lewis United Kingdom
Matthew J. Saltzman United States
Jordi Castro Spain
Sanjeeb Dash relative to Cid C. de Souza Brazil Cid C. de Souza's profile →
Citations per field
00.5×2.6×
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-authorship network

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
#Work
1 20247
2 202339
3 20233
4
Generalized Linear Rule Models
20194
5 20183
6 201818
7 20173
8 20165
9 20153
10 20152
11 201310
12 20125
13
IBM Research Report Lattice-Free Sets, Branching Disjunctions, and Mixed-Integer Programming
20113
14 201014
15 20096
16
On the complexity of cutting plane proofs using split cuts.
20082
17 200833
18 20078
19 20078
20 200535

About Sanjeeb Dash

Sanjeeb Dash is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Numerical Analysis and Discrete Mathematics and Combinatorics, having authored 46 papers that have together received 714 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (18 papers), Vehicle Routing Optimization Methods (17 papers), Advanced Graph Theory Research (15 papers), Optimization and Packing Problems (12 papers), Advanced Optimization Algorithms Research (8 papers), Computational Geometry and Mesh Generation (6 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 (341 citations), Numerical Analysis (101 citations), Computational Theory and Mathematics (278 citations), Computer Graphics and Computer-Aided Design (53 citations) and Transportation (40 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, 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 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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