Jason Mancuso

9 total papers · 844 total citations
2 papers, 259 citations indexed

About

Jason Mancuso is a scholar working on Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason Mancuso has authored 2 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Health Informatics and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason Mancuso's work include Privacy-Preserving Technologies in Data (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). Jason Mancuso is often cited by papers focused on Privacy-Preserving Technologies in Data (2 papers), Stochastic Gradient Optimization Techniques (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). Jason Mancuso collaborates with scholars based in France, United Kingdom and Brazil. Jason Mancuso's co-authors include Jonathan Passerat‐Palmbach, M. Steinborn, Marcus R. Makowski, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert, Théo Ryffel, Andrew Trask, Georgios Kaissis and Rickmer Braren and has published in prestigious journals such as Nature Machine Intelligence.

In The Last Decade

Jason Mancuso

2 papers receiving 254 citations

Hit Papers

End-to-end privacy preser... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Jason Mancuso 187 64 58 27 26 2 259
Théo Ryffel 236 1.3× 64 1.0× 62 1.1× 31 1.1× 34 1.3× 6 312
Jesse C. Cresswell 201 1.1× 60 0.9× 41 0.7× 25 0.9× 28 1.1× 7 265
Mohammed Adnan 144 0.8× 54 0.8× 35 0.6× 22 0.8× 18 0.7× 6 189
Huiqi Deng 170 0.9× 31 0.5× 42 0.7× 23 0.9× 22 0.8× 7 311
Bernd Malle 164 0.9× 19 0.3× 33 0.6× 39 1.4× 28 1.1× 4 264
Imrana Abdullahi Yari 241 1.3× 32 0.5× 41 0.7× 27 1.0× 69 2.7× 7 319
Niranjan Balachandar 190 1.0× 161 2.5× 77 1.3× 32 1.2× 14 0.5× 8 315
David Schneeberger 123 0.7× 28 0.4× 72 1.2× 12 0.4× 16 0.6× 5 223
Meirui Jiang 155 0.8× 74 1.2× 25 0.4× 53 2.0× 10 0.4× 8 232
Muhammad Bilal 91 0.5× 44 0.7× 89 1.5× 16 0.6× 15 0.6× 4 231

Countries citing papers authored by Jason Mancuso

Since Specialization
Citations

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

Fields of papers citing papers by Jason Mancuso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Mancuso

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