Dipankar Ghosh
- Computational Theory and Mathematics top 2%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 5%
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Co-authors
- R. J. YangPatrick KochAnthony GiuntaAndrew BookerTimothy W. SimpsonGarret N. VanderplaatsProdyot K. BasuGerhard Venter
- Topics
- Advanced Multi-Objective Optimization Algorithms (3 papers)Advanced Numerical Methods in Computational Mathematics (3 papers)Manufacturing Process and Optimization (2 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- IEEE Transactions on Instrumentation and MeasurementStructural and Multidisciplinary OptimizationComputational Mechanics
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Dipankar Ghosh
8 papers receiving 344 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 231
- Statistics, Probability and Uncertainty 129
- Management Science and Operations Research 110
- Civil and Structural Engineering 72
- Mechanical Engineering 68
Countries citing papers authored by Dipankar Ghosh
This map shows the geographic impact of Dipankar Ghosh'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 Dipankar Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar Ghosh more than expected).
Fields of papers citing papers by Dipankar Ghosh
This network shows the impact of papers produced by Dipankar Ghosh. 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 Dipankar Ghosh. The network helps show where Dipankar Ghosh may publish in the future.
Co-authorship network of co-authors of Dipankar Ghosh
This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Ghosh. A scholar is included among the top collaborators of Dipankar Ghosh 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 Dipankar Ghosh. Dipankar Ghosh 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 | 326 | |
| 3 | 0 | |
| 4 | 19 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 4 |
About Dipankar Ghosh
Dipankar Ghosh is a scholar working on Numerical Analysis, Management of Technology and Innovation and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (129 citations), Computational Theory and Mathematics (231 citations) and Management Science and Operations Research (110 citations). Dipankar Ghosh has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include R. J. Yang, Patrick Koch, Anthony Giunta, Andrew Booker, Timothy W. Simpson, Garret N. Vanderplaats, Prodyot K. Basu, Gerhard Venter, Vladimir Balabanov and L. J. Gray. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Structural and Multidisciplinary Optimization and Computational Mechanics.
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.