Dev P. Chakraborty

5.5k citations
113 papers · 4.2k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Dev P. Chakraborty

108 papers receiving 4.0k citations

Hit Papers

Semiempirical model for generating tungsten target x‐ray spectra 1991 · 353 citations
3531991202620022014100200300

Peers

Dev P. Chakraborty
Comparison fields: 5 of 151
  • Radiology, Nuclear Medicine and Imaging 2.6k
  • Pulmonary and Respiratory Medicine 1.8k
  • Biomedical Engineering 1.5k
  • Artificial Intelligence 1.0k
  • Radiation 221
Replace Carl J. D’Orsi with:
Carl J. D’Orsi United States
Janet K. Baum United States
David Gur United States
Philip F. Judy United States
Hilde Bosmans Belgium
Noriyuki Tomiyama Japan
Lawrence W. Bassett United States
Chandra M. Sehgal United States
Peter M. A. van Ooijen Netherlands
Andreas Boss Switzerland
Dev P. Chakraborty relative to Carl J. D’Orsi United States Carl J. D’Orsi's profile →
Citations per field
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Carl J. D’Orsi · 1×
Citations per year

Countries citing papers authored by Dev P. Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Dev P. Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dev P. Chakraborty. 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 Dev P. Chakraborty. The network helps show where Dev P. Chakraborty may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dev P. Chakraborty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dev P. Chakraborty Line = papers co-authored together Dev P. Chakraborty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20164
2 20169
3 201338
4 20123
5 20120
6 20124
7 201064
8 200816
9 200878
10 200730
11 200767
12 200546
13 200541
14 200543
15
Medical imaging 2003 : Image perception, observer performance, and technology assessment : 18-20 February 2003, San Diego, California, USA
20030
16 200264
17 200178
18 199723
19 199530
20 1989160

About Dev P. Chakraborty

Dev P. Chakraborty is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Statistics, Probability and Uncertainty and Biomedical Engineering, having authored 113 papers that have together received 4.2k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (43 papers), AI in cancer detection (38 papers), Advanced X-ray and CT Imaging (31 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Radiation Dose and Imaging (28 papers), Medical Imaging Techniques and Applications (22 papers), Radiology practices and education (19 papers) and Global Cancer Incidence and Screening (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.6k citations), Pulmonary and Respiratory Medicine (1.8k citations), Biomedical Engineering (1.5k citations), Artificial Intelligence (1.0k citations) and Radiation (221 citations). Dev P. Chakraborty has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include I Brezovich, Leslie Winter, William Atkinson, Kevin S. Berbaum, Gary T. Barnes, Douglas M. Tucker, G.T Barnes, Jill E. Jacobs, Bernard A. Birnbaum and Daniel D. Maki. Their work appears in journals such as Medical Physics, Radiology, Academic Radiology, Radiation Protection Dosimetry and British Journal of Radiology.

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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