Sushil Kumar

1.7k citations
136 papers · 1.0k · h-index 18

Impact in

Papers in

Sushil Kumar

123 papers receiving 944 citations

Peers

Sushil Kumar
Comparison fields: 5 of 130
  • Ophthalmology 155
  • Computer Vision and Pattern Recognition 249
  • Signal Processing 95
  • Artificial Intelligence 275
  • Neurology 60
Replace Jaehyuk Cha with:
Jaehyuk Cha South Korea
Zekuan Yu China
Atef Zaguia Saudi Arabia
Zhenkun Wen China
Akansha Singh India
Norah Saleh Alghamdi Saudi Arabia
Vatsala Anand India
Wei Hu China
Tahira Nazir Pakistan
Mahmoud Ragab Saudi Arabia
Sushil Kumar relative to Jaehyuk Cha South Korea Jaehyuk Cha's profile →
Citations per field
00.5×6.7×
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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 202142
3 201942
4 200637
5 201836
6 201635
7 202234
8 197032
9 201829
10 201626
11 200523
12 201922
13 201620
14 201319
15 201519
16 201119
17 201518
18 201617
19 201817
20 201015

About Sushil Kumar

Sushil Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ophthalmology, Signal Processing and Computer Networks and Communications, having authored 136 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nasolacrimal Duct Obstruction Treatments (13 papers), Neural Networks and Applications (12 papers), Metaheuristic Optimization Algorithms Research (10 papers), Image and Signal Denoising Methods (9 papers), Evolutionary Algorithms and Applications (8 papers), Facial Rejuvenation and Surgery Techniques (8 papers), Medical Image Segmentation Techniques (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Ophthalmology (155 citations), Computer Vision and Pattern Recognition (249 citations), Signal Processing (95 citations), Artificial Intelligence (275 citations) and Neurology (60 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 Shailendra Narayan Singh. Their work appears in journals such as Archives of Computational Methods in Engineering, Journal of Cranio-Maxillofacial Surgery, Journal of Computational Design and Engineering, The Imaging Science Journal and Documenta Ophthalmologica.

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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