Udit Halder

577 citations
20 papers · 438 indexed · h-index 9

Udit Halder

19 papers receiving 430 citations

Peers

Udit Halder
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
Replace Xingguang Peng with:
Xingguang Peng China
Jim Pugh Switzerland
Ming Xue China
Bo Yuan China
Zhu Qingbao China
Pranab Kumar Chattopadhyay India
Zuren Feng China
Qiongjie Tian United States
Huaxin Qiu China
Yancy Diaz-Mercado United States
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Citations per field
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Citations per year

Countries citing papers authored by Udit Halder

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Udit Halder Line = papers co-authored together Udit Halder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20245
4 20236
5 20231
6 202318
7 20229
8 20225
9 20229
10 20217
11 202112
12 202027
13 20173
14 20165
15 20131
16 2012110
17 201218
18 2012184
19 20124
20 201113

About Udit Halder

Udit Halder is a scholar working on Control and Systems Engineering, Condensed Matter Physics, Biomedical Engineering, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, 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), Advanced Multi-Objective Optimization Algorithms (3 papers), Micro and Nano Robotics (3 papers), Teleoperation and Haptic Systems (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Evolutionary Algorithms and Applications (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 Dipankar Maity, Swagatam Das, Soumyadip Sengupta, Ponnuthurai Nagaratnam Suganthan, Md Nasir, Mattia Gazzola, Prashant G. Mehta, Rhanor Gillette, Girish Chowdhary and Ajith Abraham. 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.

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