Martin Heusel

About

Martin Heusel is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Martin Heusel has authored 5 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Martin Heusel’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Gene expression and cancer classification (2 papers) and COVID-19 diagnosis using AI (1 paper). Martin Heusel is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Gene expression and cancer classification (2 papers) and COVID-19 diagnosis using AI (1 paper). Martin Heusel collaborates with scholars based in Austria, Germany and Belgium. Martin Heusel's co-authors include Sepp Hochreiter, Bernhard Nessler, Thomas Unterthiner, Hubert Ramsauer, Klaus Obermayer, Luc Bijnens, Djork-Arné Clevert, Ziv Shkedy, Adetayo Kasim and Andreas Mayr and has published in prestigious journals such as Bioinformatics, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Martin Heusel i

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Fields of papers citing papers by Martin Heusel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Heusel

Since Specialization

Citations

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