Saurabh Ray

65 papers receiving 773 citations

Peers

Saurabh Ray
Comparison fields: 5 of 91
  • Computer Graphics and Computer-Aided Design 228
  • Computational Theory and Mathematics 190
  • Discrete Mathematics and Combinatorics 23
  • Rheumatology 95
  • Industrial and Manufacturing Engineering 53
Replace David S. Johnson with:
David S. Johnson United Kingdom
Yue-Li Wang Taiwan
Michal Parnas Israel
Shifeng Chen China
Miloš Kudělka Czechia
Mehmet Deveci Türkiye
Hamed Ahmadi United States
Erich Grädel Germany
Marek Śmieja Poland
Shoji Hirano Japan
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Citations per field
00.5×10×13.4×
David S. Johnson · 1×
Citations per year

Countries citing papers authored by Saurabh Ray

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201079
2 200964
3 201053
4 200452
5
Treatment Patterns, Survival, and Healthcare Costs of Patients with Malignant Gliomas in a Large US Commercially Insured Population.
201441
6 201240
7 200938
8 200935
9 200533
10 200827
11 201125
12 201323
13 201223
14 201320
15 201517
16 201014
17 201312
18 201211
19 200711
20 200710

About Saurabh Ray

Saurabh Ray is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 69 papers that have together received 800 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (33 papers), Advanced Graph Theory Research (20 papers), Complexity and Algorithms in Graphs (14 papers), Optimization and Packing Problems (7 papers), Brain Metastases and Treatment (6 papers), Data Management and Algorithms (5 papers), graph theory and CDMA systems (5 papers) and Digital Image Processing Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (228 citations), Computational Theory and Mathematics (190 citations), Discrete Mathematics and Combinatorics (23 citations), Rheumatology (95 citations) and Industrial and Manufacturing Engineering (53 citations). Saurabh Ray has collaborated with scholars based in United States, Germany and United Arab Emirates. Frequent co-authors include Nabil H. Mustafa, Arijit Ganguli, Machaon Bonafede, Evangelia Pyrga, Rajiv Raman, Elisabeth Hazard, David Klingman, Daniel A. Ollendorf, Vijayveer Bonthapally and Nimish Mohile. Their work appears in journals such as Discrete & Computational Geometry, Computational Geometry, Journal of Clinical Oncology, CNS Oncology and Theoretical Computer Science.

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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