Jaideep Ray

1.7k citations
104 papers · 1.0k · h-index 20

Impact in

Papers in

Jaideep Ray

99 papers receiving 982 citations

Peers

Jaideep Ray
Comparison fields: 5 of 105
  • Computational Mechanics 419
  • Hardware and Architecture 141
  • Fluid Flow and Transfer Processes 87
  • Information Systems and Management 99
  • Statistics, Probability and Uncertainty 72
Replace Roscoe Bartlett with:
Roscoe Bartlett United States
Álvaro L. G. A. Coutinho Brazil
Frank Ham United States
Eric Phipps United States
Jean Utke United States
James Willenbring United States
Heidi Thornquist United States
Alan Carle United States
Michael Resch Germany
Ray Grout United States
Jaideep Ray relative to Roscoe Bartlett United States Roscoe Bartlett's profile →
Citations per field
00.5×10.9×
Roscoe Bartlett · 1×
Citations per year

Countries citing papers authored by Jaideep Ray

Since Specialization
Citations

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

Fields of papers citing papers by Jaideep Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002106
2 199852
3 201652
4 200636
5 201530
6 200029
7 200727
8 200027
9 200025
10 200425
11 201624
12 200624
13 201824
14 200423
15 201222
16 201022
17 201720
18 201420
19 200519
20 202019

About Jaideep Ray

Jaideep Ray is a scholar working on Computational Mechanics, Computer Networks and Communications, Hardware and Architecture, Aerospace Engineering and Statistics, Probability and Uncertainty, having authored 104 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (23 papers), Fluid Dynamics and Turbulent Flows (16 papers), Parallel Computing and Optimization Techniques (15 papers), Distributed and Parallel Computing Systems (15 papers), Probabilistic and Robust Engineering Design (12 papers), Combustion and flame dynamics (11 papers), Data-Driven Disease Surveillance (10 papers) and Gas Dynamics and Kinetic Theory (10 papers). The work is most often cited by research in Computational Mechanics (419 citations), Hardware and Architecture (141 citations), Fluid Flow and Transfer Processes (87 citations), Information Systems and Management (99 citations) and Statistics, Probability and Uncertainty (72 citations). Jaideep Ray has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Sophia Lefantzi, Habib N. Najm, Norman J. Zabusky, Srinivasan Arunajatesan, Ravi Samtaney, David E. Bernholdt, Benjamin A. Allan, Cosmin Safta, James Kohl and Robert C. Armstrong. Their work appears in journals such as AIAA Journal, Physics of Fluids, PLoS ONE, Advances in Water Resources and Journal of Computational Physics.

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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