Gulshan Singh
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Statistics, Probability and Uncertainty top 5%
- Mechanics of Materials
- Co-authors
- Kalyanmoy DebRamana V. GrandhiDavid S. StargelHarry MillwaterDarius RomanValentin RobuDavid FlynnA. H. Clauer
- Topics
- Surface Treatment and Residual Stress (10 papers)Erosion and Abrasive Machining (7 papers)Probabilistic and Robust Engineering Design (6 papers)
- Cited by
- Ecological ModelingComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Gulshan Singh
23 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 111
- Artificial Intelligence 108
- Mechanical Engineering 92
- Statistics, Probability and Uncertainty 47
- Mechanics of Materials 44
Countries citing papers authored by Gulshan Singh
This map shows the geographic impact of Gulshan Singh'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 Gulshan Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gulshan Singh more than expected).
Fields of papers citing papers by Gulshan Singh
This network shows the impact of papers produced by Gulshan Singh. 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 Gulshan Singh. The network helps show where Gulshan Singh may publish in the future.
Co-authorship network of co-authors of Gulshan Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Gulshan Singh. A scholar is included among the top collaborators of Gulshan Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gulshan Singh. Gulshan Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 21 | |
| 14 | 3 | |
| 15 | Effective Simulation and Optimization of a Laser Peening Process | 11 |
| 16 | 33 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 107 |
About Gulshan Singh
Gulshan Singh is a scholar working on Ecological Modeling, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 27 papers that have together received 324 indexed citations. Recurring topics across this work include Surface Treatment and Residual Stress (10 papers), Erosion and Abrasive Machining (7 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Ecological Modeling (41 citations), Computational Theory and Mathematics (111 citations) and Statistics, Probability and Uncertainty (47 citations). Gulshan Singh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Kalyanmoy Deb, Ramana V. Grandhi, David S. Stargel, Harry Millwater, Darius Roman, Valentin Robu, David Flynn, A. H. Clauer, Patrick J. Golden and Kristina Langer. Their work appears in journals such as IEEE Access, AIAA Journal and Reliability Engineering & System Safety.
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.