Udit Halder
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Soft Robotics and Applications 10
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- Robot Manipulation and Learning 5
- Co-authors
- Swagatam Das (5 shared papers)Dipankar Maity (5 shared papers)Md Nasir (1 shared paper)Soumyadip Sengupta (2 shared papers)Ponnuthurai Nagaratnam Suganthan (1 shared paper)Mattia Gazzola (11 shared papers)Prashant G. Mehta (12 shared papers)Rhanor Gillette (7 shared papers)
- Journals
- Information Sciences (1 paper)IEEE Transactions on Cybernetics (1 paper)Journal of Experimental Biology (1 paper)Biological Cybernetics (1 paper)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United StatesIndiaCzechia
In The Last Decade
Udit Halder
19 papers receiving 430 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 164
- Artificial Intelligence 253
- Control and Systems Engineering 102
- Condensed Matter Physics 27
- Industrial and Manufacturing Engineering 22
Countries citing papers authored by Udit Halder
This map shows the geographic impact of Udit Halder'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 Udit Halder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udit Halder more than expected).
Fields of papers citing papers by Udit Halder
This network shows the impact of papers produced by Udit Halder. 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 Udit Halder. The network helps show where Udit Halder may publish in the future.
Co-authors
The 17 scholars most cited alongside Udit Halder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 184 | |
| 2 | 2012 | 110 | |
| 3 | 2020 | 27 | |
| 4 | 2012 | 18 | |
| 5 | 2023 | 18 | |
| 6 | 2011 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2024 | 0 |
About Udit Halder
Udit Halder is a scholar working on Biomedical Engineering, Control and Systems Engineering, Ecology, Evolution, Behavior and Systematics, Artificial Intelligence and Mechanical Engineering, having authored 20 papers that have together received 438 indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Robot Manipulation and Learning (5 papers), Cephalopods and Marine Biology (4 papers), Evolutionary Algorithms and Applications (3 papers), Teleoperation and Haptic Systems (3 papers), Micro and Nano Robotics (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (164 citations), Artificial Intelligence (253 citations), Control and Systems Engineering (102 citations), Condensed Matter Physics (27 citations) and Industrial and Manufacturing Engineering (22 citations). Udit Halder has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Swagatam Das, Dipankar Maity, Md Nasir, Soumyadip Sengupta, Ponnuthurai Nagaratnam Suganthan, Mattia Gazzola, Prashant G. Mehta, Rhanor Gillette, Ajith Abraham and Girish Chowdhary. Their work appears in journals such as Information Sciences, IEEE Transactions on Cybernetics, Journal of Experimental Biology, Biological Cybernetics and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
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.