Tushar Kumar

27 papers receiving 198 citations

Peers

Tushar Kumar
Comparison fields: 5 of 61
  • Signal Processing 49
  • Computer Vision and Pattern Recognition 77
  • Computational Mechanics 42
  • Industrial and Manufacturing Engineering 19
  • Computational Mathematics 1
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Beatrice Rossi Italy
Boyu Wang United States
Maurice Charbit France
Jathushan Rajasegaran Australia
Junran Peng China
Bo Xin China
Yongxi Lu United States
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Haotian Liu China
Tushar Kumar relative to Beatrice Rossi Italy Beatrice Rossi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tushar Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Planning, Scheduling and Monitoring for Airport Surface Operations.
201671
2 201929
3 201914
4 202313
5 202210
6 20217
7 20217
8 20236
9 20165
10 20145
11 20234
12 20234
13 20124
14 20233
15 20233
16 20133
17 20183
18 20162
19 20232
20 20132

About Tushar Kumar

Tushar Kumar is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Computational Mechanics, Biomedical Engineering and Epidemiology, having authored 33 papers that have together received 204 indexed citations. Recurring topics across this work include Geophysical Methods and Applications (5 papers), Microwave Imaging and Scattering Analysis (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Diabetes Treatment and Management (3 papers), Ultra-Wideband Communications Technology (3 papers), Blind Source Separation Techniques (3 papers), Face and Expression Recognition (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Signal Processing (49 citations), Computer Vision and Pattern Recognition (77 citations), Computational Mechanics (42 citations), Industrial and Manufacturing Engineering (19 citations) and Computational Mathematics (1 citation). Tushar Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Felix Albu, Sven Koenig, Waqar Malik, Kasper Søe Luckow, Corina S. Păsăreanu, Hang Ma, Robert E. Morris, Monjoy Saha, Rajiv K. Kalia and Song Peng Ang. Their work appears in journals such as Progress in Cardiovascular Diseases, Current Problems in Cardiology, Medicine, American Journal of Neuroradiology and PLoS ONE.

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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