Sunil Kumar Yadav

58 total papers · 460 total citations
27 papers, 255 citations indexed

About

Sunil Kumar Yadav is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sunil Kumar Yadav has authored 27 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ophthalmology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sunil Kumar Yadav's work include Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Hydrology and Drought Analysis (4 papers). Sunil Kumar Yadav is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Hydrology and Drought Analysis (4 papers). Sunil Kumar Yadav collaborates with scholars based in Germany, India and United States. Sunil Kumar Yadav's co-authors include Konrad Polthier, Ella Maria Kadas, Friedemann Paul, Seyedamirhosein Motamedi, Alexander U. Brandt, Hanna Zimmermann, Rahele Kafieh, Frederike Cosima Oertel, Atefeh Vaezi and Shaghayegh Haghjooy Javanmard and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and Journal of Biomedical Optics.

In The Last Decade

Sunil Kumar Yadav

22 papers receiving 241 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunil Kumar Yadav 70 62 56 50 48 27 255
Ayushi Sinha 26 0.4× 23 0.4× 157 2.8× 13 0.3× 3 0.1× 23 307
Max W. K. Law 10 0.1× 121 2.0× 161 2.9× 11 0.2× 39 0.8× 17 309
T. Miki 16 0.2× 31 0.5× 44 0.8× 32 0.6× 5 0.1× 25 297
David Helbert 26 0.4× 18 0.3× 153 2.7× 2 0.0× 8 0.2× 30 262
J.C. McEachen 9 0.1× 78 1.3× 126 2.3× 9 0.2× 40 324
R. Collorec 19 0.3× 147 2.4× 177 3.2× 13 0.3× 1 0.0× 26 291
Ben Appleton 23 0.3× 43 0.7× 198 3.5× 6 0.1× 19 289
Paulo Cezar Pinto Carvalho 71 1.0× 25 0.4× 84 1.5× 3 0.1× 3 0.1× 27 210
Jiřı́ Hladůvka 15 0.2× 63 1.0× 120 2.1× 1 0.0× 8 0.2× 22 224
Frédéric Richard 17 0.2× 70 1.1× 145 2.6× 2 0.0× 2 0.0× 29 323

Countries citing papers authored by Sunil Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Yadav. A scholar is included among the top collaborators of Sunil Kumar Yadav based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil Kumar Yadav. Sunil Kumar Yadav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026