Pritam Mukherjee

900 citations
39 papers · 484 indexed · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (18 papers)AI in cancer detection (9 papers)Topic Modeling (7 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchScientific Reports

In The Last Decade

Pritam Mukherjee

32 papers receiving 478 citations

Peers

Pritam Mukherjee
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 316
  • Artificial Intelligence 149
  • Oncology 89
  • Pulmonary and Respiratory Medicine 88
  • Health Informatics 80
Replace Siri Willems with:
Siri Willems Belgium
Sunan Cui United States
Christoph Haarburger Germany
Seyed Masoud Rezaeijo Iran
Benjamin Miraglio Netherlands
Zohaib Salahuddin Netherlands
Ge-Ge Wu China
Liesbeth Vandewinckele Belgium
Samuel Hawkins United States
Pritam Mukherjee relative to Siri Willems Belgium Siri Willems's profile →
Citations per field
00.5×1.5×1.8×
Siri Willems · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 0
5 8
6 3
7 4
8 5
9 1
10 4
11 1
12 4
13 0
14 47
15 6
16 0
17 21
18 29
19 48
20 69

About Pritam Mukherjee

Pritam Mukherjee is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 39 papers that have together received 484 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Health Informatics (80 citations), Radiology, Nuclear Medicine and Imaging (316 citations) and Otorhinolaryngology (28 citations). Pritam Mukherjee has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Olivier Gevaert, Ronald M. Summers, Benjamin Hou, Mu Zhou, Yuanning Zheng, Sandra Steyaert, Hannes Vogel, Sandy Napel, A. Dimitrios Colevas and Edward Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026