Subhashis Banerjee

80 total papers · 1.1k total citations
54 papers, 659 citations indexed

About

Subhashis Banerjee is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Surgery. According to data from OpenAlex, Subhashis Banerjee has authored 54 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 8 papers in Surgery. Recurrent topics in Subhashis Banerjee's work include Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (12 papers) and Human Pose and Action Recognition (9 papers). Subhashis Banerjee is often cited by papers focused on Advanced Vision and Imaging (20 papers), Robotics and Sensor-Based Localization (12 papers) and Human Pose and Action Recognition (9 papers). Subhashis Banerjee collaborates with scholars based in India, United Kingdom and Israel. Subhashis Banerjee's co-authors include Santanu Chaudhury, Sumantra Dutta Roy, Prem Kalra, Aditya Ramamoorthy, Namrata Vaswani, Uma Mudenagudi, Ashish Suri, Chetan Arora, Subodh Kumar and Shashank Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Subhashis Banerjee

52 papers receiving 625 citations

Author Peers

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

Author						Papers	Cites
Subhashis Banerjee	409	139	122	89	80	54	659
Zhong Liu	232 0.6×	76 0.5×	215 1.8×	30 0.3×	89 1.1×	55	649
Xavier Savatier	354 0.9×	175 1.3×	95 0.8×	37 0.4×	227 2.8×	48	794
Jérémie Allard	286 0.7×	51 0.4×	55 0.5×	162 1.8×	223 2.8×	31	789
Rémi Boutteau	265 0.6×	198 1.4×	44 0.4×	33 0.4×	150 1.9×	35	703
Andrea Vitali	152 0.4×	22 0.2×	68 0.6×	46 0.5×	151 1.9×	97	583
Yue Luo	269 0.7×	40 0.3×	48 0.4×	19 0.2×	115 1.4×	48	559
Yoshifumi Nishida	259 0.6×	73 0.5×	31 0.3×	33 0.4×	54 0.7×	62	572
Ananth Sastry	236 0.6×	10 0.1×	233 1.9×	87 1.0×	150 1.9×	35	707
Žiga Emeršič	399 1.0×	29 0.2×	23 0.2×	115 1.3×	65 0.8×	32	769
Michael Boelstoft Holte	542 1.3×	17 0.1×	165 1.4×	27 0.3×	182 2.3×	40	768

Countries citing papers authored by Subhashis Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Subhashis Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashis Banerjee

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