Suash Deb

17.2k total citations · 7 hit papers
93 papers, 12.3k citations indexed

About

Suash Deb is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Suash Deb has authored 93 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 19 papers in Computer Networks and Communications. Recurrent topics in Suash Deb's work include Metaheuristic Optimization Algorithms Research (59 papers), Evolutionary Algorithms and Applications (31 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Suash Deb is often cited by papers focused on Metaheuristic Optimization Algorithms Research (59 papers), Evolutionary Algorithms and Applications (31 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). Suash Deb collaborates with scholars based in Macao, United Kingdom and United States. Suash Deb's co-authors include Xin‐She Yang, Gai‐Ge Wang, Leandro dos Santos Coelho, Zhihua Cui, Simon Fong, Amir H. Alavi, Amir H. Gandomi, R. Srikant, Siamak Talatahari and Muriel Médard and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and European Journal of Operational Research.

In The Last Decade

Suash Deb

90 papers receiving 11.8k citations

Hit Papers

Cuckoo Search via L&#... 2009 2026 2014 2020 2009 2010 2015 2013 2011 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suash Deb 6.5k 2.8k 2.5k 1.7k 1.6k 93 12.3k
Bahriye Akay 7.2k 1.1× 3.1k 1.1× 2.0k 0.8× 1.2k 0.7× 1.8k 1.1× 56 13.5k
Ibrahim Aljarah 8.0k 1.2× 2.4k 0.9× 2.0k 0.8× 1.7k 1.0× 1.4k 0.9× 117 13.3k
Gai‐Ge Wang 7.3k 1.1× 3.4k 1.2× 1.9k 0.8× 1.5k 0.9× 1.4k 0.8× 189 12.9k
Yuhui Shi 7.9k 1.2× 3.6k 1.3× 2.6k 1.0× 1.9k 1.2× 2.5k 1.5× 240 14.7k
Hossam Faris 10.3k 1.6× 3.4k 1.2× 3.1k 1.2× 2.0k 1.2× 2.1k 1.3× 167 18.0k
Essam H. Houssein 6.3k 1.0× 2.2k 0.8× 2.4k 1.0× 1.1k 0.7× 1.4k 0.8× 259 11.9k
Hossein Nezamabadi–pour 6.8k 1.0× 2.5k 0.9× 2.5k 1.0× 861 0.5× 1.8k 1.1× 236 12.7k
Majdi Mafarja 7.9k 1.2× 2.7k 1.0× 1.7k 0.7× 1.1k 0.7× 1.3k 0.8× 87 12.6k
Yun Li 5.0k 0.8× 2.5k 0.9× 2.2k 0.9× 1.9k 1.2× 3.4k 2.0× 416 14.0k
Maurice Clerc 5.0k 0.8× 2.3k 0.8× 2.0k 0.8× 883 0.5× 2.3k 1.4× 39 9.9k

Countries citing papers authored by Suash Deb

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Suash Deb

This figure shows the co-authorship network connecting the top 25 collaborators of Suash Deb. A scholar is included among the top collaborators of Suash Deb 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 Suash Deb. Suash Deb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gálvez, Akemi, Iztok Fister, Suash Deb, Iztok Fister, & Andrés Iglesias. (2023). Hybrid GA-PSO method with local search and image clustering for automatic IFS image reconstruction of fractal colored images. Neural Computing and Applications. 37(18). 11635–11661. 3 indexed citations
2.
Gálvez, Akemi, Iztok Fister, Suash Deb, Iztok Fister, & Andrés Iglesias. (2023). Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. 95–102.
3.
Gálvez, Akemi, Suash Deb, Iztok Fister, & Andrés Iglesias. (2021). Cuckoo Search Algorithm and K-Means for IFS Reconstruction of Fractal Colored Images. 91–95. 2 indexed citations
4.
Fister, Iztok, Dušan Fister, Suash Deb, et al.. (2017). Making up for the deficit in a marathon run. 11–15. 3 indexed citations
5.
Wang, Gai‐Ge, Suash Deb, Xinchao Zhao, & Zhihua Cui. (2016). A new monarch butterfly optimization with an improved crossover operator. Operational Research. 18(3). 731–755. 87 indexed citations
6.
Wang, Gai‐Ge, Suash Deb, Amir H. Gandomi, Zhaojun Zhang, & Amir H. Alavi. (2015). Chaotic cuckoo search. Soft Computing. 20(9). 3349–3362. 187 indexed citations
7.
Fong, Simon, Suash Deb, & Xin‐She Yang. (2015). A heuristic optimization method inspired by wolf preying behavior. Neural Computing and Applications. 26(7). 1725–1738. 35 indexed citations
8.
Fong, Simon, Suash Deb, Xin‐She Yang, & Yan Zhuang. (2014). Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms. The Scientific World JOURNAL. 2014. 1–16. 39 indexed citations
9.
Yang, Xin‐She, Suash Deb, & Simon Fong. (2014). Bat Algorithm is Better Than Intermittent Search Strategy. Middlesex University Research Repository (Middlesex University Of London). 22. 223–237. 12 indexed citations
10.
Wang, Gai‐Ge, Suash Deb, Amir H. Gandomi, Zhaojun Zhang, & Amir H. Alavi. (2014). A Novel Cuckoo Search with Chaos Theory and Elitism Scheme. 64–69. 10 indexed citations
11.
Fong, Simon, Yan Zhuang, Rui Tang, Xin‐She Yang, & Suash Deb. (2013). Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. Journal of Applied Mathematics. 2013. 1–18. 17 indexed citations
12.
Yang, Xin‐She & Suash Deb. (2013). Cuckoo search: recent advances and applications. Neural Computing and Applications. 24(1). 169–174. 794 indexed citations breakdown →
13.
Tang, Rui, Simon Fong, Xin‐She Yang, & Suash Deb. (2012). Wolf search algorithm with ephemeral memory. 165–172. 132 indexed citations
14.
Srivastava, Praveen Ranjan, et al.. (2011). Path Optimization for Software Testing: An Intelligent Approach using Cuckoo Search.. Indian International Conference on Artificial Intelligence. 725–732. 3 indexed citations
15.
Gandomi, Amir H., Xin‐She Yang, Siamak Talatahari, & Suash Deb. (2011). Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization. Computers & Mathematics with Applications. 63(1). 191–200. 106 indexed citations
16.
Yang, Xin‐She & Suash Deb. (2009). Cuckoo Search via Lévy flights. 210–214. 4520 indexed citations breakdown →
17.
Deb, Suash, et al.. (2008). Real-time Streaming and Rendering of Terrains.
18.
Deb, Suash, et al.. (2008). Real-Time Video Multicast in WiMAX Networks. 199. 1579–1587. 115 indexed citations
19.
Deb, Suash & R. Srikant. (2003). Congestion control for fair resource allocation in networks with multicast flows. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 2. 1911–1916. 18 indexed citations
20.
Pattipati, Krishna R., et al.. (1989). BM/C(3) algorithm mapping onto concurrent processors. Final report, May-December 1987. 2-3. 24–9. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026