Hari Trivedi

4.1k total citations · 2 hit papers
68 papers, 1.9k citations indexed

About

Hari Trivedi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Hari Trivedi has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Artificial Intelligence and 22 papers in Health Informatics. Recurrent topics in Hari Trivedi's 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). Hari Trivedi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Artificial Intelligence in Healthcare and Education (22 papers) and AI in cancer detection (17 papers). Hari Trivedi collaborates with scholars based in United States, Canada and United Kingdom. Hari Trivedi's 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 and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal 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... 2011 2026 2016 2021 2011 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hari Trivedi United States 19 876 534 534 509 257 68 1.9k
Noriyuki Fujima Japan 25 1.1k 1.2× 258 0.5× 258 0.5× 189 0.4× 167 0.6× 116 1.8k
Lisa C. Adams Germany 26 735 0.8× 317 0.6× 427 0.8× 306 0.6× 214 0.8× 133 2.1k
Harman S. Suri United States 27 798 0.9× 705 1.3× 126 0.2× 565 1.1× 154 0.6× 35 2.3k
Narges Razavian United States 14 1.2k 1.3× 371 0.7× 202 0.4× 1.4k 2.8× 140 0.5× 39 2.7k
Jens Kleesiek Germany 21 994 1.1× 385 0.7× 251 0.5× 503 1.0× 243 0.9× 107 2.3k
Safwan S. Halabi United States 19 890 1.0× 181 0.3× 466 0.9× 370 0.7× 396 1.5× 39 2.3k
Marcus A. Badgeley United States 16 708 0.8× 197 0.4× 431 0.8× 613 1.2× 230 0.9× 21 2.0k
Joeky T. Senders Netherlands 18 385 0.4× 201 0.4× 235 0.4× 174 0.3× 244 0.9× 36 1.6k
Livia Faes United Kingdom 20 1.6k 1.8× 155 0.3× 651 1.2× 579 1.1× 222 0.9× 66 2.7k
Corey Arnold United States 24 430 0.5× 225 0.4× 104 0.2× 657 1.3× 166 0.6× 105 1.7k

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
1.
Khosravi, Bardia, Scot Garg, Amir Khosravi, et al.. (2025). Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models. Journal of Imaging Informatics in Medicine. 39(1). 995–1004. 2 indexed citations
2.
Purkayastha, Saptarshi, et al.. (2025). DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability. Journal of Imaging Informatics in Medicine. 38(5). 3040–3048. 1 indexed citations
3.
Purkayastha, Saptarshi, et al.. (2025). Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions. The Lancet Digital Health. 7(9). 100890–100890. 4 indexed citations
4.
Trivedi, Hari, Judy Wawira Gichoya, Laura Benson, et al.. (2025). AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment. Journal of the American College of Radiology. 22(9). 1041–1049. 2 indexed citations
5.
Li, Hanzhou, John T. Moon, Zachary Bercu, et al.. (2025). Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4. Journal of Vascular and Interventional Radiology. 36(4). 696–703.e1.
6.
Tariq, Amara, et al.. (2025). Multimodal artificial intelligence models for radiology. 2(1). 3 indexed citations
7.
Assen, Marly van, Chadi Ayoub, Laurence Sperling, et al.. (2025). RISK STRATIFICATION OF ADVERSE CV EVENTS AND MORTALITY IN WOMEN USING AI-BASED QUANTIFICATION OF VASCULAR CALCIFICATIONS. Journal of the American College of Cardiology. 85(12). 315–315.
8.
Trivedi, Hari, et al.. (2024). Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race. SHILAP Revista de lepidopterología. 4(1). 21–21. 1 indexed citations
9.
Khosravi, Bardia, Hari Trivedi, Cody C. Wyles, et al.. (2024). Synthetically enhanced: unveiling synthetic data's potential in medical imaging research. EBioMedicine. 104. 105174–105174. 19 indexed citations
10.
Trivedi, Hari & Judy Wawira Gichoya. (2024). The LLM Will See You Now: Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations. Radiology Artificial Intelligence. 6(1). e230568–e230568. 2 indexed citations
11.
Trivedi, Hari, Linglin Zhang, Aimilia Gastounioti, et al.. (2023). Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography. SHILAP Revista de lepidopterología. 3. 1181190–1181190. 1 indexed citations
12.
Banerjee, Imon, John L. Burns, Hari Trivedi, et al.. (2023). “Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation. Journal of the American College of Radiology. 20(9). 842–851. 37 indexed citations
13.
Guo, Xiaoyuan, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, & Imon Banerjee. (2023). MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. IEEE Journal of Biomedical and Health Informatics. 27(8). 3936–3947. 2 indexed citations
14.
Chen, Li-Ching, Lama Moukheiber, Kenneth P. Seastedt, et al.. (2023). Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. International Journal of Medical Informatics. 178. 105211–105211. 5 indexed citations
15.
Gichoya, Judy Wawira, K.J. Thomas, Leo Anthony Celi, et al.. (2023). AI pitfalls and what not to do: mitigating bias in AI. British Journal of Radiology. 96(1150). 20230023–20230023. 113 indexed citations
16.
Wagstaff, W., Anna Podlasek, Marta E. Heilbrun, et al.. (2022). Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice. Radiology Artificial Intelligence. 4(2). e210114–e210114. 29 indexed citations
17.
Yala, Adam, Peter G. Mikhael, Constance D. Lehman, et al.. (2022). Optimizing risk-based breast cancer screening policies with reinforcement learning. Nature Medicine. 28(1). 136–143. 57 indexed citations
18.
Ghassemi, Marzyeh, et al.. (2022). Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning. Radiology Artificial Intelligence. 4(2). 5 indexed citations
19.
Tariq, Amara, Leo Anthony Celi, Janice Newsome, et al.. (2021). Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digital Medicine. 4(1). 94–94. 24 indexed citations
20.
Krupinski, Elizabeth A., et al.. (2020). The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings. Radiology Artificial Intelligence. 2(6). e200004–e200004. 54 indexed citations

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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