Shubham Gupta

3.2k total citations · 2 hit papers
67 papers, 2.5k citations indexed

About

Shubham Gupta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Shubham Gupta has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 8 papers in Numerical Analysis. Recurrent topics in Shubham Gupta's work include Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (21 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Shubham Gupta is often cited by papers focused on Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (21 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Shubham Gupta collaborates with scholars based in India, Singapore and Australia. Shubham Gupta's co-authors include Kusum Deep, Seyedali Mirjalili, Dimitris Bertsimas, Hossein Moayedi, Rong Su, Ali Asghar Heidari, Andries P. Engelbrecht, Shangce Gao, Joong Hoon Kim and Ali Rıza Yıldız and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Shubham Gupta

59 papers receiving 2.4k citations

Hit Papers

A novel Random Walk Grey Wolf Optimizer 2018 2026 2020 2023 2018 2018 100 200 300
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. A novel Random Walk Grey Wolf Optimizer
    2018 352 citations Shubham Gupta, Kusum Deep profile →
  2. A hybrid self-adaptive sine cosine algorithm with opposition based learning
    2018 248 citations Shubham Gupta, Kusum Deep profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubham Gupta India 25 1.5k 778 357 312 277 67 2.5k
Apu Kumar Saha India 32 1.4k 0.9× 821 1.1× 320 0.9× 354 1.1× 255 0.9× 141 2.8k
Mahamed G. H. Omran Kuwait 19 1.7k 1.1× 752 1.0× 302 0.8× 270 0.9× 478 1.7× 49 2.6k
Qifang Luo China 28 1.7k 1.1× 666 0.9× 332 0.9× 400 1.3× 427 1.5× 127 2.7k
Pınar Çivicioğlu Türkiye 18 1.1k 0.8× 573 0.7× 397 1.1× 574 1.8× 423 1.5× 31 2.5k
Zhijian Wu China 25 1.7k 1.1× 951 1.2× 318 0.9× 195 0.6× 249 0.9× 114 2.3k
Heming Jia China 29 1.5k 1.0× 665 0.9× 526 1.5× 363 1.2× 535 1.9× 110 3.3k
Jagdish Chand Bansal India 28 1.8k 1.2× 683 0.9× 411 1.2× 577 1.8× 415 1.5× 126 3.2k
Benyamın Abdollahzadeh Iran 13 1.7k 1.1× 748 1.0× 492 1.4× 636 2.0× 365 1.3× 16 3.1k
Mohammad H. Nadimi-Shahraki Iran 30 2.2k 1.4× 955 1.2× 434 1.2× 533 1.7× 475 1.7× 77 3.6k
Uday K. Chakraborty United States 23 1.6k 1.1× 992 1.3× 356 1.0× 482 1.5× 297 1.1× 58 2.9k

Countries citing papers authored by Shubham Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Gupta. A scholar is included among the top collaborators of Shubham Gupta 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 Shubham Gupta. Shubham Gupta 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
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Gupta, Shubham, et al.. (2025). Ensemble mutation and multi-population-driven differential evolution for numerical optimization and feature selection of breast cancer. Computers in Biology and Medicine. 194. 110495–110495. 2 indexed citations
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Gupta, Shubham, et al.. (2024). Fitness and historical success information-assisted binary particle swarm optimization for feature selection. Knowledge-Based Systems. 306. 112699–112699. 12 indexed citations
7.
Gupta, Shubham, et al.. (2024). Autonomous underwater vehicle path planning using fitness-based differential evolution algorithm. Journal of Computational Science. 85. 102498–102498. 2 indexed citations
8.
Gupta, Shubham & Rong Su. (2022). Multiple individual guided differential evolution with time varying and feedback information-based control parameters. Knowledge-Based Systems. 259. 110091–110091. 13 indexed citations
9.
Gupta, Shubham & Rong Su. (2022). An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters. Knowledge-Based Systems. 251. 109280–109280. 43 indexed citations
10.
Gupta, Shubham. (2021). Enhanced harmony search algorithm with non-linear control parameters for global optimization and engineering design problems. Engineering With Computers. 38(S4). 3539–3562. 11 indexed citations
11.
Gupta, Shubham, Kusum Deep, Hossein Moayedi, Loke Kok Foong, & Assif Assad. (2020). Sine cosine grey wolf optimizer to solve engineering design problems. Engineering With Computers. 37(4). 3123–3149. 81 indexed citations
12.
Kumar, Abhishek, Jayanta Kumar Pati, Shubham Gupta, et al.. (2019). Assessment of topsoil contamination in an urbanized interfluve region of Indo-Gangetic Plains (IGP) using magnetic measurements and spectroscopic techniques. Environmental Monitoring and Assessment. 191(6). 403–403. 8 indexed citations
13.
Gupta, Shubham & Kusum Deep. (2019). Enhanced leadership-inspired grey wolf optimizer for global optimization problems. Engineering With Computers. 36(4). 1777–1800. 67 indexed citations
14.
Gupta, Shubham & Kusum Deep. (2019). Optimal Coordination of Overcurrent Relays Using Improved Leadership-Based Grey Wolf Optimizer. Arabian Journal for Science and Engineering. 45(3). 2081–2091. 21 indexed citations
15.
Gupta, Shubham & Kusum Deep. (2018). Cauchy Grey Wolf Optimiser for continuous optimisation problems. Journal of Experimental & Theoretical Artificial Intelligence. 30(6). 1051–1075. 29 indexed citations
16.
Gupta, Shubham, et al.. (2014). Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour. International Journal of Information and Education Technology. 6(2). 117–121. 2 indexed citations
17.
Bertsimas, Dimitris, Shubham Gupta, & Guglielmo Lulli. (2013). Dynamic resource allocation: A flexible and tractable modeling framework. European Journal of Operational Research. 236(1). 14–26. 32 indexed citations
18.
Gupta, Shubham & Dimitris Bertsimas. (2011). Multistage Air Traffic Flow Management under Capacity Uncertainty: A Robust and Adaptive Optimization Approach. DSpace@MIT (Massachusetts Institute of Technology). 15 indexed citations
19.
Gupta, Shubham & M. Pavaman Murthy. (1980). Suslin's work on linear groups over polynomial rings and Serre problem. 12 indexed citations
20.
Gupta, Shubham & R. Sridharan. (1973). Projective modules, Grothendieck groups and the Jacobson-Cartier operator. Kyoto journal of mathematics. 13(3).

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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