Samik Banerjee

38 total papers · 778 total citations
11 papers, 84 citations indexed

About

Samik Banerjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Samik Banerjee has authored 11 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Samik Banerjee's work include Face recognition and analysis (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Face and Expression Recognition (5 papers). Samik Banerjee is often cited by papers focused on Face recognition and analysis (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Face and Expression Recognition (5 papers). Samik Banerjee collaborates with scholars based in India, United States and Türkiye. Samik Banerjee's co-authors include Sukhendu Das, Mohanasankar Sivaprakasam, Dingkang Wang, Keerthi Ram, Z. Josh Huang, Yusu Wang, Partha P. Mitra, Suranjana Samanta, Xu Li and Bing‐Xing Huo and has published in prestigious journals such as Annals of the Rheumatic Diseases, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Samik Banerjee

11 papers receiving 78 citations

Author Peers

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

Author						Papers	Cites
Samik Banerjee	50	25	19	8	6	11	84
Stefan Gehlen	94 1.9×	50 2.0×	14 0.7×	10 1.3×	3 0.5×	11	152
Qaiser Mahmood	56 1.1×	9 0.4×	16 0.8×	16 2.0×	4 0.7×	10	94
Peter Wang	27 0.5×	14 0.6×	15 0.8×	4 0.5×	1 0.2×	15	96
Thomas Veit	85 1.7×	18 0.7×	34 1.8×	10 1.3×	3 0.5×	9	123
Shant Navasardyan	189 3.8×	23 0.9×	24 1.3×	6 0.8×	4 0.7×	20	223
Grégoire Lefebvre	37 0.7×	9 0.4×	24 1.3×	9 1.1×	1 0.2×	13	86
Shengxin Zha	112 2.2×	11 0.4×	53 2.8×	11 1.4×	2 0.3×	9	134
Yash Patel	63 1.3×	11 0.4×	31 1.6×	4 0.5×	1 0.2×	11	120
Hao Peng	47 0.9×	11 0.4×	19 1.0×	6 0.8×	2 0.3×	18	95
Kai Kang	38 0.8×	6 0.2×	9 0.5×	4 0.5×	6 1.0×	16	73

Countries citing papers authored by Samik Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Samik Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samik Banerjee

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