Max Schmitt

15 papers and 481 indexed citations i.

About

Max Schmitt is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Max Schmitt has authored 15 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Max Schmitt’s work include AI in cancer detection (9 papers), Cutaneous Melanoma Detection and Management (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Max Schmitt is often cited by papers focused on AI in cancer detection (9 papers), Cutaneous Melanoma Detection and Management (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Max Schmitt collaborates with scholars based in Germany, United States and United Kingdom. Max Schmitt's co-authors include Titus J. Brinker, Achim Hekler, Jochen Utikal, Stefan Fröhling, Christof von Kalle, Wiebke Sondermann, Eva Krieghoff‐Henning, Dirk Schadendorf, Roman C. Maron and Dieter Krahl and has published in prestigious journals such as PLoS ONE, European Journal of Cancer and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Max Schmitt i

Fields of papers citing papers by Max Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Max Schmitt

Since Specialization
Citations

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