Ritam Guha
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Ram SarkarManosij GhoshAjith AbrahamKushal Kanti GhoshNeeraj KumarPawan Kumar SinghVikrant BhatejaSeyedali Mirjalili
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (9 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Evolutionary Computation
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ritam Guha
22 papers receiving 571 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 404
- Computer Vision and Pattern Recognition 164
- Computational Theory and Mathematics 87
- Information Systems 67
- Molecular Biology 47
Countries citing papers authored by Ritam Guha
This map shows the geographic impact of Ritam Guha'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 Ritam Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritam Guha more than expected).
Fields of papers citing papers by Ritam Guha
This network shows the impact of papers produced by Ritam Guha. 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 Ritam Guha. The network helps show where Ritam Guha may publish in the future.
Co-authorship network of co-authors of Ritam Guha
This figure shows the co-authorship network connecting the top 25 collaborators of Ritam Guha. A scholar is included among the top collaborators of Ritam Guha 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 Ritam Guha. Ritam Guha 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 83 | |
| 13 | 7 | |
| 14 | 42 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 43 | |
| 18 | 69 | |
| 19 | 13 | |
| 20 | 136 |
About Ritam Guha
Ritam Guha is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 594 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (404 citations), Computer Vision and Pattern Recognition (164 citations) and Computational Theory and Mathematics (87 citations). Ritam Guha has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Ram Sarkar, Manosij Ghosh, Ajith Abraham, Kushal Kanti Ghosh, Neeraj Kumar, Pawan Kumar Singh, Vikrant Bhateja, Seyedali Mirjalili, Debotosh Bhattacharjee and Andrew Tomkins. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Evolutionary Computation.
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.