Satvik Tripathi

47 total papers · 430 total citations
24 papers, 200 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 200 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 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 (12 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Satvik Tripathi is often cited by papers focused on Artificial Intelligence in Healthcare and Education (12 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Satvik Tripathi collaborates with scholars based in United States, India and Nepal. 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 191 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Satvik Tripathi	82	74	72	29	20	24	200
Joshua Pantanowitz	75 0.9×	68 0.9×	67 0.9×	27 0.9×	31 1.6×	17	249
Isabella C. Wiest	115 1.4×	130 1.8×	70 1.0×	39 1.3×	11 0.6×	23	263
Mustafa Deebajah	44 0.5×	44 0.6×	55 0.8×	33 1.1×	19 0.9×	26	280
Sonish Sivarajkumar	84 1.0×	67 0.9×	29 0.4×	27 0.9×	52 2.6×	14	252
Hui Zong	65 0.8×	69 0.9×	47 0.7×	36 1.2×	36 1.8×	28	254
Saeed Amal	88 1.1×	27 0.4×	59 0.8×	17 0.6×	18 0.9×	17	210
Weiyi Zhang	42 0.5×	62 0.8×	111 1.5×	49 1.7×	48 2.4×	19	261
Mohammad Reza Afrash	74 0.9×	62 0.8×	60 0.8×	11 0.4×	13 0.7×	30	249
Karsten Wendt	95 1.2×	29 0.4×	64 0.9×	39 1.3×	18 0.9×	16	255
Zongming Zhang	50 0.6×	118 1.6×	62 0.9×	13 0.4×	21 1.1×	15	234

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

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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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