Gourab Ghosh Roy
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Aerospace Engineering top 10%
- Cognitive Neuroscience
- Co-authors
- Prithwish ChakrabortySwagatam DasAjith AbrahamPonnuthurai Nagaratnam SuganthanTapan Kumar GandhiBijay Ketan PanigrahiKarin VerspoorNicholas Geard
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Partner nations
- IndiaAustraliaUnited Kingdom
In The Last Decade
Gourab Ghosh Roy
14 papers receiving 481 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 179
- Electrical and Electronic Engineering 147
- Computational Theory and Mathematics 110
- Aerospace Engineering 109
- Cognitive Neuroscience 61
Countries citing papers authored by Gourab Ghosh Roy
This map shows the geographic impact of Gourab Ghosh Roy'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 Gourab Ghosh Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gourab Ghosh Roy more than expected).
Fields of papers citing papers by Gourab Ghosh Roy
This network shows the impact of papers produced by Gourab Ghosh Roy. 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 Gourab Ghosh Roy. The network helps show where Gourab Ghosh Roy may publish in the future.
Co-authorship network of co-authors of Gourab Ghosh Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Gourab Ghosh Roy. A scholar is included among the top collaborators of Gourab Ghosh Roy 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 Gourab Ghosh Roy. Gourab Ghosh Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | A Simple Second Derivative Based Blur Estimation Technique | 1 |
| 5 | 20 | |
| 6 | 73 | |
| 7 | 70 | |
| 8 | 7 | |
| 9 | 146 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 135 | |
| 13 | 5 | |
| 14 | 10 |
About Gourab Ghosh Roy
Gourab Ghosh Roy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Artificial Intelligence (179 citations) and Signal Processing (59 citations). Gourab Ghosh Roy has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Ponnuthurai Nagaratnam Suganthan, Tapan Kumar Gandhi, Bijay Ketan Panigrahi, Karin Verspoor, Nicholas Geard, Shan He and Bighnaraj Panigrahi. Their work appears in journals such as Bioinformatics, Expert Systems with Applications and Information Sciences.
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.