Sandip Das

810 citations
71 papers · 289 indexed · h-index 10

Sandip Das

61 papers receiving 273 citations

Peers

Sandip Das
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 143
  • Signal Processing 61
  • Industrial and Manufacturing Engineering 52
  • Computational Theory and Mathematics 72
  • Discrete Mathematics and Combinatorics 13
Replace Sergei Bespamyatnikh with:
Sergei Bespamyatnikh Canada
Paz Carmi Israel
Y. F. Wu United States
Goos Kant Netherlands
Elmar Langetepe Germany
Inmaculada Ventura Spain
Wolfgang Mulzer Germany
David Eppstein Chile
Marc Demange France
Jyh-Han Lin United States
Sandip Das relative to Sergei Bespamyatnikh Canada Sergei Bespamyatnikh's profile →
Citations per field
00.5×5.5×
Sergei Bespamyatnikh · 1×
Citations per year

Countries citing papers authored by Sandip Das

Since Specialization
Citations

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

Fields of papers citing papers by Sandip Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20172
4 20171
5 201716
6 20151
7 20151
8 20143
9
One-Round Discrete Voronoi Game in ℝ 2 in Presence of Existing Facilities.
20131
10 20130
11 20125
12 20123
13 20099
14 20096
15
Maximal Covering by Two Isothetic Unit Squares
20082
16
Computing a planar widest empty -siphon in o(n 3 ) time
20071
17
Approximate shortest descent path on a terrain
20071
18
Covering Points by Isothetic Unit Squares.
20073
19 200610
20
A Fast Algorithm for Point Labeling Problem.
20056

About Sandip Das

Sandip Das is a scholar working on Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 71 papers that have together received 289 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (46 papers), Advanced Graph Theory Research (23 papers), Digital Image Processing Techniques (14 papers), Data Management and Algorithms (13 papers), Graph Labeling and Dimension Problems (12 papers), Optimization and Search Problems (9 papers), Robotic Path Planning Algorithms (8 papers) and Complexity and Algorithms in Graphs (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (143 citations), Signal Processing (61 citations) and Industrial and Manufacturing Engineering (52 citations). Sandip Das has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Subhas C. Nandy, Sasanka Roy, Bhaswar B. Bhattacharya, Gautam K. Das, Bhabani P. Sinha, Binay Bhattacharya, Arijit Bishnu, Sasthi C. Ghosh, Probal Chaudhuri and Bhargab B. Bhattacharya. Their work appears in journals such as Pattern Recognition, Theoretical Computer Science and Journal of Parallel and Distributed 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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