Hari Trivedi

4.1k citations
68 papers · 1.9k indexed · 2 hit papers · h-index 19
Topics
Radiomics and Machine Learning in Medical Imaging (30 papers)Artificial Intelligence in Healthcare and Education (22 papers)AI in cancer detection (17 papers)
Journals
Nature MedicineSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology

In The Last Decade

Hari Trivedi

60 papers receiving 1.8k citations

Hit Papers

Multiparametric 3T Prostate Magnetic Resonance Imaging to...201120262016202120112018100200300

Peers

Hari Trivedi
Comparison fields: 5 of 145
  • Radiology, Nuclear Medicine and Imaging 876
  • Pulmonary and Respiratory Medicine 534
  • Health Informatics 534
  • Artificial Intelligence 509
  • Biomedical Engineering 257
Replace Dun Jack Fu with:
Dun Jack Fu United Kingdom
Corey Arnold United States
Lisa C. Adams Germany
Jaron Chong Canada
Safwan S. Halabi United States
Narges Razavian United States
Rahul Paul United States
Bhavik N. Patel United States
Paras Lakhani United States
Adelaide M. Arruda‐Olson United States
Hari Trivedi relative to Dun Jack Fu United Kingdom Dun Jack Fu's profile →
Citations per field
00.5×
Dun Jack Fu · 1×
Citations per year

Countries citing papers authored by Hari Trivedi

Since Specialization
Citations

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

Fields of papers citing papers by Hari Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hari Trivedi

This figure shows the co-authorship network connecting the top 25 collaborators of Hari Trivedi. A scholar is included among the top collaborators of Hari Trivedi 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 Hari Trivedi. Hari Trivedi 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 2
2 1
3 4
4 2
5 0
6 3
7 0
8 1
9 19
10 2
11 1
12 37
13 2
14 5
15 113
16 29
17 57
18 5
19 24
20 54

About Hari Trivedi

Hari Trivedi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), Artificial Intelligence in Healthcare and Education (22 papers) and AI in cancer detection (17 papers). The work is most often cited by research in Health Informatics (534 citations), Radiology, Nuclear Medicine and Imaging (876 citations) and Health Information Management (104 citations). Hari Trivedi has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee, Leo Anthony Celi, Jae Ho Sohn, Hanzhou Li, John T. Moon, Compton J. Benjamin, Peter A. Pinto and Peter L. Choyke. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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