Shalmali Joshi

59 total papers · 1.7k total citations
18 papers, 421 citations indexed

About

Shalmali Joshi is a scholar working on Health Informatics, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Shalmali Joshi has authored 18 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health Informatics, 8 papers in Artificial Intelligence and 7 papers in General Health Professions. Recurrent topics in Shalmali Joshi's work include Artificial Intelligence in Healthcare and Education (10 papers), Machine Learning in Healthcare (6 papers) and Healthcare cost, quality, practices (6 papers). Shalmali Joshi is often cited by papers focused on Artificial Intelligence in Healthcare and Education (10 papers), Machine Learning in Healthcare (6 papers) and Healthcare cost, quality, practices (6 papers). Shalmali Joshi collaborates with scholars based in Canada, United States and Australia. Shalmali Joshi's co-authors include Mjaye Mazwi, Melissa D. McCradden, James A. Anderson, Marzyeh Ghassemi, Irene Y. Chen, Anna Goldenberg, Randi Zlotnik Shaul, Natalie Dullerud, Sebastian D. Goodfellow and Sana Tonekaboni and has published in prestigious journals such as Nature Medicine, Machine Learning and Journal of the American Medical Informatics Association.

In The Last Decade

Shalmali Joshi

17 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Shalmali Joshi 193 156 83 70 60 18 421
Liam G. McCoy 248 1.3× 142 0.9× 107 1.3× 81 1.2× 45 0.8× 25 453
David Lyell 189 1.0× 107 0.7× 62 0.7× 62 0.9× 39 0.7× 21 433
Jenny Krutzinna 124 0.6× 124 0.8× 58 0.7× 61 0.9× 34 0.6× 22 453
Dana Moukheiber 166 0.9× 135 0.9× 91 1.1× 45 0.6× 29 0.5× 15 404
Susanne Gaube 201 1.0× 133 0.9× 82 1.0× 32 0.5× 51 0.8× 29 479
Vinyas Harish 186 1.0× 109 0.7× 87 1.0× 71 1.0× 48 0.8× 26 435
Boris Babic 222 1.2× 132 0.8× 64 0.8× 74 1.1× 34 0.6× 15 449
Florence M. Aellen 188 1.0× 107 0.7× 90 1.1× 42 0.6× 33 0.6× 9 420
Tom Lawton 142 0.7× 139 0.9× 56 0.7× 59 0.8× 22 0.4× 39 475
Natalia Norori 187 1.0× 102 0.7× 90 1.1× 45 0.6× 34 0.6× 8 398

Countries citing papers authored by Shalmali Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Shalmali Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalmali Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Shalmali Joshi. A scholar is included among the top collaborators of Shalmali Joshi 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 Shalmali Joshi. Shalmali Joshi 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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