Abhirup Banerjee

157 total papers · 1.9k total citations
50 papers, 457 citations indexed

About

Abhirup Banerjee is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abhirup Banerjee has authored 50 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abhirup Banerjee's work include Medical Image Segmentation Techniques (16 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (7 papers). Abhirup Banerjee is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (7 papers). Abhirup Banerjee collaborates with scholars based in United Kingdom, India and Germany. Abhirup Banerjee's co-authors include Pradipta Maji, Vicente Grau, Marcel Beetz, Surajit Ray, Bart Vorselaars, Louise S. Mackenzie, Michail Mamalakis, Mark Baker, Robin P. Choudhury and Kaushik Roy and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and IEEE Transactions on Image Processing.

In The Last Decade

Abhirup Banerjee

42 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Abhirup Banerjee	200	132	110	92	57	50	457
Ali M. Hasan	201 1.0×	255 1.9×	183 1.7×	31 0.3×	13 0.2×	32	513
Xinyuan Zhang	305 1.5×	105 0.8×	88 0.8×	12 0.1×	13 0.2×	36	471
Nina Zhou	119 0.6×	70 0.5×	121 1.1×	19 0.2×	18 0.3×	34	528
Chengjia Wang	164 0.8×	157 1.2×	154 1.4×	34 0.4×	7 0.1×	28	531
Huaxuan Wen	139 0.7×	80 0.6×	121 1.1×	35 0.4×	10 0.2×	32	523
Chirag Agarwal	63 0.3×	67 0.5×	116 1.1×	37 0.4×	88 1.5×	43	414
Zhen Yang	95 0.5×	132 1.0×	101 0.9×	52 0.6×	13 0.2×	41	515
Yung‐Kyun Noh	79 0.4×	88 0.7×	84 0.8×	40 0.4×	3 0.1×	46	498
Dehua Chen	50 0.3×	73 0.6×	187 1.7×	7 0.1×	58 1.0×	53	500
Wei Huang	72 0.4×	73 0.6×	70 0.6×	18 0.2×	25 0.4×	31	504

Countries citing papers authored by Abhirup Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Abhirup Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhirup Banerjee

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