Satvik Tripathi

455 total citations
24 papers, 216 citations indexed

About

Satvik Tripathi is a scholar working on Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Satvik Tripathi has authored 24 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Health Informatics and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Satvik Tripathi's work include Artificial Intelligence in Healthcare and Education (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Satvik Tripathi is often cited by papers focused on Artificial Intelligence in Healthcare and Education (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Satvik Tripathi collaborates with scholars based in United States, India and Netherlands. Satvik Tripathi's co-authors include Tessa S. Cook, Farouk Dako, Dania Daye, Ameena Elahi, K. R. Gabriel, Christopher P. Bridge, Azadeh Tabari, Pushpendra Kumar Tripathi, Arian Mansur and Edward Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Cancers.

In The Last Decade

Satvik Tripathi

20 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satvik Tripathi United States 8 86 84 74 29 21 24 216
Joshua Pantanowitz United States 8 77 0.9× 84 1.0× 67 0.9× 27 0.9× 35 1.7× 17 289
Isabella C. Wiest Germany 9 125 1.5× 135 1.6× 73 1.0× 40 1.4× 11 0.5× 23 291
Anglin Dent Canada 5 96 1.1× 126 1.5× 104 1.4× 16 0.6× 20 1.0× 6 255
Mustafa Deebajah United States 9 45 0.5× 55 0.7× 55 0.7× 33 1.1× 21 1.0× 26 312
Jong Seok Ahn South Korea 5 70 0.8× 67 0.8× 130 1.8× 22 0.8× 22 1.0× 9 201
Ankush Patel United States 8 181 2.1× 72 0.9× 120 1.6× 39 1.3× 27 1.3× 19 324
Yifan Yang United States 7 199 2.3× 171 2.0× 61 0.8× 80 2.8× 13 0.6× 12 430
Kruthi Suvarna Japan 7 54 0.6× 40 0.5× 69 0.9× 88 3.0× 21 1.0× 11 237
Asad Aali United States 3 131 1.5× 109 1.3× 55 0.7× 35 1.2× 10 0.5× 6 268

Countries citing papers authored by Satvik Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Satvik Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satvik Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Satvik Tripathi. A scholar is included among the top collaborators of Satvik Tripathi 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 Satvik Tripathi. Satvik Tripathi 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.
Tripathi, Satvik, Azadeh Tabari, Bernardo C. Bizzo, et al.. (2025). PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care. European Journal of Radiology. 187. 112124–112124. 1 indexed citations
2.
Tripathi, Satvik, Merel Huisman, & Tessa S. Cook. (2025). Doing good science in the age of large language models: CARE framework for radiology AI. 4. 100048–100048.
3.
Tripathi, Satvik, Rupal O’Quinn, & Tessa S. Cook. (2025). Cardiothoracic Imaging AI for Cardiac Diseases. Seminars in Roentgenology. 60(4). 413–421.
4.
Tripathi, Satvik, et al.. (2025). Large Language Models for Global Health Clinics: Opportunities and Challenges. Journal of the American College of Radiology. 22(8). 917–923. 1 indexed citations
5.
Tripathi, Satvik, et al.. (2025). A Hitchhiker's Guide to Good Prompting Practices for Large Language Models in Radiology. Journal of the American College of Radiology. 22(7). 841–847. 1 indexed citations
6.
Tripathi, Satvik, Florence X. Doo, Pranav Rajpurkar, et al.. (2025). Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report. NEJM AI. 2(6). 9 indexed citations
7.
Tripathi, Satvik, et al.. (2025). Toward Pediatric Patient–Friendly Education Material Using Generative Artificial Intelligence. Journal of the American College of Radiology. 23(1). 102–104.
8.
Tripathi, Satvik, K. R. Gabriel, Pushpendra Kumar Tripathi, & Edward Kim. (2024). Large Language Models Reshaping Molecular Biology and Drug Development. SSRN Electronic Journal.
9.
Ramasamy, Shakthi Kumaran, et al.. (2024). Enhanced PROcedural Information READability for Patient-Centered Care in Interventional Radiology With Large Language Models (PRO-READ IR). Journal of the American College of Radiology. 22(1). 84–97. 6 indexed citations
10.
Tripathi, Satvik, K. R. Gabriel, Pushpendra Kumar Tripathi, & Edward Kim. (2024). Large language models reshaping molecular biology and drug development. Chemical Biology & Drug Design. 103(6). e14568–e14568. 6 indexed citations
11.
Tripathi, Satvik, et al.. (2024). From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer. Diagnostics. 14(2). 174–174. 22 indexed citations
12.
Tripathi, Satvik, et al.. (2024). Large Language Models in Health Systems: Governance, Challenges, and Solutions. Academic Radiology. 32(3). 1189–1191. 5 indexed citations
13.
Tripathi, Satvik & Farouk Dako. (2024). The Potential of Large Language Models for Radiology Report Simplification and Translations. Journal of the American College of Radiology. 21(12). 1896–1897. 5 indexed citations
14.
Tripathi, Satvik, et al.. (2024). Large language models as an academic resource for radiologists stepping into artificial intelligence research. Current Problems in Diagnostic Radiology. 54(3). 342–348. 3 indexed citations
15.
Tripathi, Satvik, et al.. (2024). Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. Journal of the American Medical Informatics Association. 31(6). 1436–1440. 53 indexed citations
16.
Tripathi, Satvik, et al.. (2024). Promptwise: Prompt Engineering Paradigm for Enhanced Patient-Large Language Model Interactions Towards Medical Education. SSRN Electronic Journal. 3 indexed citations
17.
Tripathi, Satvik, et al.. (2023). Understanding Biases and Disparities in Radiology AI Datasets: A Review. Journal of the American College of Radiology. 20(9). 836–841. 36 indexed citations
18.
Tripathi, Satvik, et al.. (2022). Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. AI and Ethics. 3(4). 1193–1201. 5 indexed citations
19.
Tripathi, Satvik, et al.. (2022). HematoNet: Expert level classification of bone marrow cytology morphology in hematological malignancy with deep learning. SHILAP Revista de lepidopterología. 2. 100043–100043. 13 indexed citations
20.
Agarwal, Reeti, et al.. (2012). E-Commerce: True Indian Picture. Journal of Advances in Information Technology. 3(4). 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joshua Pantanowitz Breakdown of academic impact, for papers by Isabella C. Wiest Breakdown of academic impact, for papers by Anglin Dent Breakdown of academic impact, for papers by Mustafa Deebajah Breakdown of academic impact, for papers by Jong Seok Ahn Breakdown of academic impact, for papers by Ankush Patel Breakdown of academic impact, for papers by Yifan Yang Breakdown of academic impact, for papers by Kruthi Suvarna Breakdown of academic impact, for papers by Asad Aali
Rankless by CCL
2026