Dipankar Maity

963 citations
53 papers · 660 · h-index 12

Impact in

Papers in

Dipankar Maity

50 papers receiving 649 citations

Peers

Dipankar Maity
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 230
  • Artificial Intelligence 341
  • Control and Systems Engineering 168
  • Software 21
  • Computer Networks and Communications 123
Replace Sofie Haesaert with:
Sofie Haesaert Netherlands
Dmitri E. Kvasov Italy
Zhongbo Hu China
Carlos Andrey Maia Brazil
Slobodan N. Simić United States
Bosen Lian United States
Amir Ali Ahmadi United States
John C. Eidson United States
Robert Rasmussen United States
Christophe Combastel France
Dipankar Maity relative to Sofie Haesaert Netherlands Sofie Haesaert's profile →
Citations per field
00.5×
Sofie Haesaert · 1×
Citations per year

Countries citing papers authored by Dipankar Maity

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dipankar Maity, 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 Dipankar Maity Line = papers co-authored together Dipankar Maity links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012186
2 2012111
3 201345
4 201825
5 202421
6 201620
7 201218
8 202118
9 202117
10 202117
11 202213
12 201113
13 201910
14 202010
15 201310
16 201210
17 20159
18 20158
19 20167
20 20237

About Dipankar Maity

Dipankar Maity is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Aerospace Engineering, having authored 53 papers that have together received 660 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (12 papers), Game Theory and Applications (7 papers), Advanced Control Systems Optimization (7 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Guidance and Control Systems (6 papers), Stochastic processes and financial applications (5 papers), Distributed Control Multi-Agent Systems (5 papers) and Formal Methods in Verification (5 papers). The work is most often cited by research in Computational Theory and Mathematics (230 citations), Artificial Intelligence (341 citations), Control and Systems Engineering (168 citations), Software (21 citations) and Computer Networks and Communications (123 citations). Dipankar Maity has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Swagatam Das, Udit Halder, John S. Baras, Soumyadip Sengupta, Ponnuthurai Nagaratnam Suganthan, Md Nasir, Panagiotis Tsiotras, Aniruddha Basak, Daigo Shishika and Karl Henrik Johansson. Their work appears in journals such as IEEE Control Systems Letters, IEEE Communications Letters, Automatica, IEEE Transactions on Automatic Control and Swarm and Evolutionary Computation.

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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