Shamik Chaudhuri

775 citations
8 papers · 501 indexed · h-index 6
Topics
Advanced Multi-Objective Optimization Algorithms (6 papers)Metaheuristic Optimization Algorithms Research (3 papers)Advanced Control Systems Optimization (2 papers)
Partner nations
IndiaFinlandTaiwan

In The Last Decade

Shamik Chaudhuri

8 papers receiving 479 citations

Peers

Shamik Chaudhuri
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 344
  • Artificial Intelligence 250
  • Management Science and Operations Research 94
  • Control and Systems Engineering 62
  • Mechanical Engineering 47
Replace Ryo Imada with:
Ryo Imada Japan
Yicun Hua China
Zhongbao Zhou China
Atharv Bhosekar United States
Gideon Avigad Israel
Pedro M. Mateo Spain
Jianyu Wang China
Takao Yokota Japan
Abdolkarim Mohammadi-Balani Iran
Shamik Chaudhuri relative to Ryo Imada Japan Ryo Imada's profile →
Citations per field
00.5×6.5×
Ryo Imada · 1×
Citations per year

Countries citing papers authored by Shamik Chaudhuri

Since Specialization
Citations

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

Fields of papers citing papers by Shamik Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shamik Chaudhuri

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 26
2 5
3 91
4 64
5
An estimation of nadir objective vector using a: hybrid evolutionary-cum-local-search procedure
2
6
Estimating Nadir Objective Vector : Hybrid of Evolutionary and Local Search
2
7 46
8 265

About Shamik Chaudhuri

Shamik Chaudhuri is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (344 citations), Artificial Intelligence (250 citations) and Management Science and Operations Research (94 citations). Shamik Chaudhuri has collaborated with scholars based in India, Finland and Taiwan. Frequent co-authors include Kalyanmoy Deb, Kaisa Miettinen, Kebena Gebeyehu Motora and Chang‐Mou Wu. Their work appears in journals such as Materials Science and Engineering A, IEEE Transactions on Evolutionary Computation 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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