Yan Fossat

941 total citations · 1 hit paper
28 papers, 603 citations indexed

About

Yan Fossat is a scholar working on Artificial Intelligence, Physiology and General Health Professions. According to data from OpenAlex, Yan Fossat has authored 28 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Physiology and 4 papers in General Health Professions. Recurrent topics in Yan Fossat's work include Diabetes Management and Research (4 papers), Music and Audio Processing (4 papers) and Voice and Speech Disorders (4 papers). Yan Fossat is often cited by papers focused on Diabetes Management and Research (4 papers), Music and Audio Processing (4 papers) and Voice and Speech Disorders (4 papers). Yan Fossat collaborates with scholars based in Canada, United States and United Kingdom. Yan Fossat's co-authors include Adam Palanica, Anirudh Thommandram, Michael H. Li, Andrew Lee, Michael Docktor, Andrew Lee, Jouhyun Jeon, Maheedhar Kolla, Lennaert van Veen and Julie Turnbull and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Yan Fossat

26 papers receiving 579 citations

Hit Papers

Physicians’ Perceptions of Chatbots in Health Care: Cross... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Yan Fossat
Comparison fields: 5 of 113
  • Artificial Intelligence 170
  • Applied Psychology 128
  • General Health Professions 122
  • Health Informatics 86
  • Social Psychology 79
Replace Adam Palanica with:
Adam Palanica Canada
Nicole Martinez‐Martin United States
Aanuoluwapo Clement David-Olawade United Kingdom
Caroline de Cock United Kingdom
Madison Milne‐Ives United Kingdom
Uba Backonja United States
Sarah Aziz Qatar
Stefano Forti Italy
Miyae Yamakawa Japan
Kiran Ijaz Australia
Adam Palanica Canada View profile →
Citations per field, relative to Yan Fossat
Yan Fossat · 1×
Citations per year, relative to Yan Fossat
Yan Fossat · 1×

Countries citing papers authored by Yan Fossat

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fossat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Fossat

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Fossat. A scholar is included among the top collaborators of Yan Fossat 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 Yan Fossat. Yan Fossat 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
# Work Indexed citations
1 0
2 2
3 5
4 4
5 3
6 3
7 0
8 1
9 11
10 4
11 4
12 38
13 25
14
Physicians’ Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey breakdown →
249
15 24
16 43
17 20
18
Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost.
24
19 6
20 3

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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