Tushar Kumar

29 papers receiving 210 citations

Peers

Tushar Kumar
Comparison fields: 5 of 59
  • Signal Processing 52
  • Computer Vision and Pattern Recognition 79
  • Computational Mechanics 44
  • Industrial and Manufacturing Engineering 19
  • Computational Mathematics 1
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Beatrice Rossi Italy
Jathushan Rajasegaran Australia
Darian M. Onchiş Romania
Yoshiki Mizukami Japan
Boyu Wang United States
Maurice Charbit France
Giuseppe Lisanti Italy
Muhammad Amir As’ari Malaysia
Nakhoon Baek South Korea
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Planning, Scheduling and Monitoring for Airport Surface Operations.
201672
2 201931
3 202314
4 201914
5 202210
6 20238
7 20217
8 20217
9 20145
10 20165
11 20235
12 20234
13 20234
14 20124
15 20233
16 20233
17 20183
18 20133
19 20252
20 20162

About Tushar Kumar

Tushar Kumar is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Computational Mechanics, Biomedical Engineering and Signal Processing, having authored 34 papers that have together received 216 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), Blind Source Separation Techniques (3 papers), Ultra-Wideband Communications Technology (3 papers), Diabetes Treatment and Management (2 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 (52 citations), Computer Vision and Pattern Recognition (79 citations), Computational Mechanics (44 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, Kasper Søe Luckow, Hang Ma, Corina S. Păsăreanu, Waqar Malik, Vikash Jaiswal, Ariel Felner, Monjoy Saha and Rajiv K. Kalia. Their work appears in journals such as Progress in Cardiovascular Diseases, Current Problems in Cardiology, Medicine, PLoS ONE and American Journal of Neuroradiology.

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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