Jeremy Wohlwend

9 papers and 141 indexed citations i.

About

Jeremy Wohlwend is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jeremy Wohlwend has authored 9 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jeremy Wohlwend’s work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Jeremy Wohlwend is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Jeremy Wohlwend collaborates with scholars based in United States, South Korea and Taiwan. Jeremy Wohlwend's co-authors include Florian J. Fintelmann, Peter G. Mikhael, Regina Barzilay, Lecia V. Sequist, Tao Leí, Gigin Lin, Yu‐Hsiang Juan, PuiYee Chan, Martin Stražar and Yung‐Liang Wan and has published in prestigious journals such as Journal of Clinical Oncology, Nature Machine Intelligence and Frontiers in Computational Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Jeremy Wohlwend i

Fields of papers citing papers by Jeremy Wohlwend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeremy Wohlwend

Since Specialization
Citations

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

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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2025