Pritam Mukherjee

85 total papers · 870 total citations
39 papers, 469 citations indexed

About

Pritam Mukherjee is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pritam Mukherjee has authored 39 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Artificial Intelligence and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pritam Mukherjee's work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (9 papers) and Topic Modeling (7 papers). Pritam Mukherjee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (9 papers) and Topic Modeling (7 papers). Pritam Mukherjee collaborates with scholars based in United States, Belgium and Australia. Pritam Mukherjee's co-authors include Olivier Gevaert, Ronald M. Summers, Benjamin Hou, Mu Zhou, Sandra Steyaert, Sandy Napel, Hannes Vogel, Yuanning Zheng, Shankuan Zhu and Vincent Vandecaveye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Pritam Mukherjee

32 papers receiving 463 citations

Author Peers

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

Author						Papers	Cites
Pritam Mukherjee	311	147	88	85	76	39	469
Teresa Perillo	235 0.8×	84 0.6×	58 0.7×	66 0.8×	50 0.7×	44	514
Mireia Crispin‐Ortuzar	330 1.1×	118 0.8×	67 0.8×	106 1.2×	27 0.4×	27	457
Thomas Weißmann	205 0.7×	47 0.3×	78 0.9×	142 1.7×	65 0.9×	41	451
Iñigo Bermejo	142 0.5×	106 0.7×	35 0.4×	60 0.7×	64 0.8×	52	410
Ramón Correa	364 1.2×	92 0.6×	55 0.6×	109 1.3×	31 0.4×	30	515
Patrick Leo	318 1.0×	190 1.3×	72 0.8×	172 2.0×	25 0.3×	31	453
Huan Zhang	335 1.1×	91 0.6×	70 0.8×	131 1.5×	28 0.4×	27	529
John Maddison	291 0.9×	214 1.5×	186 2.1×	49 0.6×	35 0.5×	18	530
Sebastian Ziegelmayer	311 1.0×	111 0.8×	193 2.2×	117 1.4×	59 0.8×	34	432
Palmi Shah	229 0.7×	113 0.8×	43 0.5×	113 1.3×	43 0.6×	30	405

Countries citing papers authored by Pritam Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Pritam Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritam Mukherjee

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