Swagatam Das

28.6k total citations · 11 hit papers
388 papers, 20.2k citations indexed

About

Swagatam Das is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Swagatam Das has authored 388 papers receiving a total of 20.2k indexed citations (citations by other indexed papers that have themselves been cited), including 242 papers in Artificial Intelligence, 131 papers in Computational Theory and Mathematics and 64 papers in Computer Vision and Pattern Recognition. Recurrent topics in Swagatam Das's work include Metaheuristic Optimization Algorithms Research (164 papers), Advanced Multi-Objective Optimization Algorithms (121 papers) and Evolutionary Algorithms and Applications (117 papers). Swagatam Das is often cited by papers focused on Metaheuristic Optimization Algorithms Research (164 papers), Advanced Multi-Objective Optimization Algorithms (121 papers) and Evolutionary Algorithms and Applications (117 papers). Swagatam Das collaborates with scholars based in India, United States and Singapore. Swagatam Das's co-authors include Ponnuthurai Nagaratnam Suganthan, Amit Konar, Ajith Abraham, Sankha Subhra Mullick, Uday K. Chakraborty, Shounak Datta, Subhodip Biswas, Boyang Qu, Sambarta Dasgupta and Arijit Biswas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.

In The Last Decade

Swagatam Das

377 papers receiving 19.5k citations

Hit Papers

Differential Evolution: A... 2007 2026 2013 2019 2010 2016 2009 2007 2011 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential Evolution: A Survey of the State-of-the-Art
    2010 3.9k citations Swagatam Das, Ponnuthurai Nagaratnam Suganthan profile →
  2. Recent advances in differential evolution – An updated survey
    2016 1.2k citations Swagatam Das, Sankha Subhra Mullick et al. profile →
  3. Differential Evolution Using a Neighborhood-Based Mutation Operator
    2009 919 citations Swagatam Das, Ajith Abraham et al. profile →
  4. Automatic Clustering Using an Improved Differential Evolution Algorithm
    2007 561 citations Swagatam Das, Ajith Abraham et al. profile →
  5. An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
    2011 492 citations Swagatam Das, Ponnuthurai Nagaratnam Suganthan et al. profile →
  6. Bio-inspired computation: Where we stand and what's next
    2019 438 citations Swagatam Das, Ponnuthurai Nagaratnam Suganthan et al. profile →
  7. A test-suite of non-convex constrained optimization problems from the real-world and some baseline results
    2020 380 citations Abhishek Kumar, Rammohan Mallipeddi et al. profile →
  8. A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization
    2012 330 citations Ponnuthurai Nagaratnam Suganthan, Swagatam Das et al. profile →
  9. An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
    2023 287 citations Swagatam Das et al. profile →
  10. A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results
    2021 177 citations Abhishek Kumar, Rammohan Mallipeddi et al. profile →
  11. Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
    2024 52 citations Ponnuthurai Nagaratnam Suganthan, Swagatam Das et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Swagatam Das India 64 12.0k 6.8k 3.3k 2.7k 2.6k 388 20.2k
Yuhui Shi China 49 7.9k 0.7× 3.6k 0.5× 2.6k 0.8× 2.5k 0.9× 1.7k 0.7× 240 14.7k
Seyed Mohammad Mirjalili Iran 18 10.4k 0.9× 4.4k 0.6× 5.7k 1.7× 3.9k 1.4× 2.6k 1.0× 37 22.1k
Riccardo Poli United Kingdom 38 10.0k 0.8× 3.6k 0.5× 4.1k 1.3× 3.5k 1.3× 2.3k 0.9× 252 23.3k
Hossam Faris Jordan 51 10.3k 0.9× 3.4k 0.5× 3.1k 0.9× 2.1k 0.8× 2.2k 0.9× 167 18.0k
Kenneth V. Price Germany 12 14.2k 1.2× 8.4k 1.2× 5.3k 1.6× 4.1k 1.5× 2.4k 0.9× 13 29.8k
Zbigniew Michalewicz Australia 48 10.9k 0.9× 5.9k 0.9× 2.8k 0.8× 3.7k 1.4× 2.0k 0.8× 175 24.7k
Rainer Storn Germany 11 13.3k 1.1× 7.9k 1.2× 5.2k 1.6× 3.9k 1.4× 2.3k 0.9× 15 28.3k
Derviş Karaboğa Türkiye 50 13.6k 1.1× 5.2k 0.8× 4.6k 1.4× 3.7k 1.4× 3.5k 1.3× 134 26.8k
Jing Liang China 53 11.5k 1.0× 7.5k 1.1× 2.5k 0.8× 2.2k 0.8× 1.1k 0.4× 413 17.1k
Tim Blackwell United Kingdom 19 6.4k 0.5× 2.8k 0.4× 3.7k 1.1× 3.2k 1.2× 1.7k 0.7× 52 16.7k

Countries citing papers authored by Swagatam Das

Since Specialization
Citations

This map shows the geographic impact of Swagatam Das'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 Swagatam Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swagatam Das more than expected).

Fields of papers citing papers by Swagatam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swagatam Das. 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 Swagatam Das. The network helps show where Swagatam Das may publish in the future.

Co-authorship network of co-authors of Swagatam Das

This figure shows the co-authorship network connecting the top 25 collaborators of Swagatam Das. A scholar is included among the top collaborators of Swagatam Das 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 Swagatam Das. Swagatam Das 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.
Chaudhari, Rakesh, et al.. (2025). Investigating the microstructure and mechanical properties of L-shaped structure of TM-B9 HSLA steels using WAAM process. Results in Surfaces and Interfaces. 20. 100619–100619. 1 indexed citations
2.
Snåšel, Václav, Lingping Kong, & Swagatam Das. (2024). From constraints fusion to manifold optimization: A new directional transport manifold metaheuristic algorithm. Information Fusion. 113. 102596–102596. 2 indexed citations
3.
Halim, Abdul, Swagatam Das, & Idris Ismail. (2024). Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control. 1 indexed citations
4.
Halim, Abdul, Swagatam Das, & Idris Ismail. (2024). Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control. 1 indexed citations
5.
Kumar, Abhishek, Swagatam Das, & Rammohan Mallipeddi. (2023). UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8386–8395. 2 indexed citations
6.
Jana, Nanda Dulal, et al.. (2023). Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification. IEEE Access. 11. 115280–115305. 16 indexed citations
7.
Das, Swagatam, et al.. (2022). Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints. Information Sciences. 615. 604–637. 3 indexed citations
8.
Zelinka, Ivan, Václav Snåšel, Swagatam Das, et al.. (2021). Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis. Information Sciences. 587. 692–719. 20 indexed citations
9.
Truong, Thanh Cong, et al.. (2021). Self-Organizing Migrating Algorithm with narrowing search space strategy for robot path planning. Applied Soft Computing. 116. 108270–108270. 10 indexed citations
10.
Das, Swagatam, et al.. (2020). Hierarchical clustering with optimal transport. Statistics & Probability Letters. 163. 108781–108781. 22 indexed citations
11.
Chen, Yi, Aimin Zhou, & Swagatam Das. (2019). A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization.. arXiv (Cornell University).
12.
Datta, Shounak, et al.. (2019). Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Transactions on Knowledge and Data Engineering. 32(5). 883–897. 29 indexed citations
13.
Mullick, Sankha Subhra, Shounak Datta, & Swagatam Das. (2018). Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5713–5725. 98 indexed citations
14.
Biswas, Subhodip, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, & Carlos A. Coello Coello. (2014). Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. 3192–3199. 62 indexed citations
15.
Konar, Amit, et al.. (2011). An Intelligent Lossless Data Compressor Implementation using Reconfigurable Hardware.. J. Inf. Hiding Multim. Signal Process.. 2. 41–50. 2 indexed citations
16.
Kundu, D., Sayan Ghosh, Swagatam Das, et al.. (2010). Multi-objective optimization with artificial weed colonies. Information Sciences. 181(12). 2441–2454. 86 indexed citations
17.
Zhao, Shi-Zheng, et al.. (2010). Multi-objective design of monopulse antenna with Two-lbests based multi-objective particle swarm optimizer. 209–214. 3 indexed citations
18.
Chakraborty, Prithwish, et al.. (2009). An Improved Harmony Search Algorithm with Differential Mutation Operator. Fundamenta Informaticae. 95(4). 401–426. 135 indexed citations
19.
Chakraborty, Jayasree, Amit Konar, Atulya K. Nagar, & Swagatam Das. (2009). Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II. 2120–2126. 9 indexed citations
20.
Das, Swagatam, Ajith Abraham, & Subir Kumar Sarkar. (2006). A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification. 26–26. 9 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.

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