Rahul Bhotika

45 total papers · 611 total citations
20 papers, 233 citations indexed

About

Rahul Bhotika is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Rahul Bhotika has authored 20 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Rahul Bhotika's work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced X-ray and CT Imaging (5 papers). Rahul Bhotika is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced X-ray and CT Imaging (5 papers). Rahul Bhotika collaborates with scholars based in United States, Spain and Hungary. Rahul Bhotika's co-authors include Paulo R. S. Mendonça, James V. Miller, Stefano Soatto, Avinash Ravichandran, Sandeep Dutta, Mahnaz Maddah, Brian Thomsen, Swaminathan Gurumurthy, Fei Zhao and Paul Licato and has published in prestigious journals such as Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Rahul Bhotika

20 papers receiving 221 citations

Author Peers

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

Author Last Decade Papers Cites
Rahul Bhotika 127 82 80 65 35 20 233
Heinrich Schulz 132 1.0× 103 1.3× 77 1.0× 72 1.1× 47 1.3× 20 323
Raphaël Prevost 119 0.9× 97 1.2× 123 1.5× 39 0.6× 30 0.9× 14 228
Maheza Irna Mohamad Salim 107 0.8× 101 1.2× 60 0.8× 59 0.9× 20 0.6× 37 326
Narinder Singh Punn 130 1.0× 34 0.4× 151 1.9× 112 1.7× 27 0.8× 13 317
Helena R. Torres 105 0.8× 83 1.0× 138 1.7× 68 1.0× 47 1.3× 47 297
Le Ding 90 0.7× 47 0.6× 99 1.2× 66 1.0× 14 0.4× 19 247
Jingyang Zhang 158 1.2× 71 0.9× 154 1.9× 109 1.7× 25 0.7× 20 312
Tanushree Meena 132 1.0× 69 0.8× 59 0.7× 98 1.5× 32 0.9× 15 279
Yanan Wu 157 1.2× 37 0.5× 63 0.8× 76 1.2× 121 3.5× 31 321
Changjian Sun 164 1.3× 50 0.6× 129 1.6× 115 1.8× 19 0.5× 17 319

Countries citing papers authored by Rahul Bhotika

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Bhotika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Bhotika

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Bhotika. A scholar is included among the top collaborators of Rahul Bhotika 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 Rahul Bhotika. Rahul Bhotika 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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