Sushil Kumar

1.7k citations
156 papers · 1.2k · h-index 19

Impact in

Papers in

Sushil Kumar

142 papers receiving 1.1k citations

Peers

Sushil Kumar
Comparison fields: 5 of 132
  • Ophthalmology 169
  • Computer Vision and Pattern Recognition 285
  • Signal Processing 110
  • Artificial Intelligence 332
  • Neurology 63
Replace Jaehyuk Cha with:
Jaehyuk Cha South Korea
Atef Zaguia Saudi Arabia
Zhenkun Wen China
Zhaopeng Meng China
Norah Saleh Alghamdi Saudi Arabia
Vatsala Anand India
J. Dinesh Peter India
Tahira Nazir Pakistan
Marriam Nawaz Pakistan
Mohd Shafry Mohd Rahim Malaysia
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Citations per field
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Jaehyuk Cha · 1×
Citations per year

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 201946
3 200644
4 202143
5 201640
6 201837
7 202236
8 197034
9 201832
10 201628
11 201525
12 201524
13 201624
14 201924
15 200523
16 201122
17 201821
18 201319
19 201618
20 201817

About Sushil Kumar

Sushil Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ophthalmology, Signal Processing and Computational Theory and Mathematics, having authored 156 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (15 papers), Nasolacrimal Duct Obstruction Treatments (13 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Neural Networks and Applications (13 papers), Medical Image Segmentation Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Ophthalmology (169 citations), Computer Vision and Pattern Recognition (285 citations), Signal Processing (110 citations), Artificial Intelligence (332 citations) and Neurology (63 citations). Sushil Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Millie Pant, Bipin Kumar Tripathi, Ruchi Goel, Saurabh Kamal, Kulwinder Singh Mann, Rohit Bansal, Tarun Kumar Sharma, Mohit Dua, Anshika Sharma and Ajith Abraham. Their work appears in journals such as Archives of Computational Methods in Engineering, International Journal of Machine Learning and Cybernetics, Journal of Cranio-Maxillofacial Surgery, Journal of Industrial Information Integration and Asia-Pacific Journal of Ophthalmology.

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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