Suash Deb
Impact in
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Computational Theory and Mathematics top 0.1%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 64
- Evolutionary Algorithms and Applications 32
- Machine Learning and Data Classification 5
-
- Advanced Multi-Objective Optimization Algorithms 29
- Co-authors
- Xin‐She Yang (31 shared papers)Gai‐Ge Wang (21 shared papers)Leandro dos Santos Coelho (5 shared papers)Simon James Fong (35 shared papers)Zhihua Cui (3 shared papers)Amir H. Gandomi (9 shared papers)Amir H. Alavi (8 shared papers)R. Srikant (7 shared papers)
- Journals
- Neural Computing and Applications (13 papers)International Journal of Bio-Inspired Computation (6 papers)Soft Computing (4 papers)IEEE/ACM Transactions on Networking (3 papers)IEEE Transactions on Automatic Control (2 papers)
- Partner nations
- MacaoUnited KingdomChina
In The Last Decade
Suash Deb
101 papers receiving 13.9k citations
Suash Deb's Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 7.8k
- Computational Theory and Mathematics 3.2k
- Industrial and Manufacturing Engineering 1.2k
- Control and Systems Engineering 1.9k
- Computer Vision and Pattern Recognition 1.8k
Countries citing papers authored by Suash Deb
This map shows the geographic impact of Suash Deb'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 Suash Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suash Deb more than expected).
Fields of papers citing papers by Suash Deb
This network shows the impact of papers produced by Suash Deb. 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 Suash Deb. The network helps show where Suash Deb may publish in the future.
Co-authors
The 25 scholars most cited alongside Suash Deb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cuckoo Search via Lévy flights Hit paper breakdown → | 2009 | 5264 |
| 2 | Engineering optimisation by cuckoo search Hit paper breakdown → | 2010 | 1362 |
| 3 | Cuckoo search: recent advances and applications Hit paper breakdown → | 2013 | 894 |
| 4 | Monarch butterfly optimization Hit paper breakdown → | 2015 | 885 |
| 5 | Multiobjective cuckoo search for design optimization Hit paper breakdown → | 2011 | 747 |
| 6 | Elephant Herding Optimization Hit paper breakdown → | 2015 | 578 |
| 7 | Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems Hit paper breakdown → | 2018 | 330 |
| 8 | 2016 | 261 | |
| 9 | 2015 | 224 | |
| 10 | 2006 | 209 | |
| 11 | 2015 | 209 | |
| 12 | 2010 | 200 | |
| 13 | 2011 | 199 | |
| 14 | 2018 | 185 | |
| 15 | 2020 | 169 | |
| 16 | 2012 | 166 | |
| 17 | 2012 | 149 | |
| 18 | 2015 | 144 | |
| 19 | 2015 | 133 | |
| 20 | 2014 | 129 |
About Suash Deb
Suash Deb is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Signal Processing, having authored 105 papers that have together received 14.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (64 papers), Evolutionary Algorithms and Applications (32 papers), Advanced Multi-Objective Optimization Algorithms (29 papers), Network Traffic and Congestion Control (10 papers), Artificial Immune Systems Applications (7 papers), Advanced Wireless Network Optimization (7 papers), Wireless Networks and Protocols (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Artificial Intelligence (7.8k citations), Computational Theory and Mathematics (3.2k citations), Industrial and Manufacturing Engineering (1.2k citations), Control and Systems Engineering (1.9k citations) and Computer Vision and Pattern Recognition (1.8k citations). Suash Deb has collaborated with scholars based in Macao, United Kingdom and China. Frequent co-authors include Xin‐She Yang, Gai‐Ge Wang, Leandro dos Santos Coelho, Simon James Fong, Zhihua Cui, Amir H. Gandomi, Amir H. Alavi, R. Srikant, Siamak Talatahari and Rui Tang. Their work appears in journals such as Neural Computing and Applications, International Journal of Bio-Inspired Computation, Soft Computing, IEEE/ACM Transactions on Networking and IEEE Transactions on Automatic Control.
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.