Shubham Gupta

59 papers receiving 2.4k citations

Hit Papers

A novel Random Walk Grey Wolf Optimizer201820262020202320182018100200300

Peers

Shubham Gupta
Comparison fields: 5 of 129
  • Artificial Intelligence 1.5k
  • Computational Theory and Mathematics 778
  • Control and Systems Engineering 357
  • Electrical and Electronic Engineering 312
  • Computer Vision and Pattern Recognition 277
Replace İbrahim Eksin with:
İbrahim Eksin Türkiye
Ali Wagdy Mohamed Egypt
Yingjie Song China
Junjie Xu China
Abdelazim G. Hussien Egypt
Mohamed Abouhawwash Egypt
V. L. Huang Singapore
Uday K. Chakraborty United States
M. Fesanghary United States
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Citations per year

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
#WorkIndexed citations
1 0
2 2
3 0
4 0
5 0
6 12
7 2
8 13
9 43
10 11
11 81
12 8
13 67
14 21
15 29
16 2
17 32
18
Multistage Air Traffic Flow Management under Capacity Uncertainty: A Robust and Adaptive Optimization Approach
15
19
Suslin's work on linear groups over polynomial rings and Serre problem
12
20 0

About Shubham Gupta

Shubham Gupta is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (21 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). The work is most often cited by research in Computational Theory and Mathematics (778 citations), Artificial Intelligence (1.5k citations) and Industrial and Manufacturing Engineering (191 citations). Shubham Gupta has collaborated with scholars based in India, Singapore and Australia. Frequent 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. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Applied Soft Computing.

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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