Martin Heusel

9 total papers · 9.5k total citations
6 papers, 2.5k citations indexed

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 6 papers receiving a total of 2.5k 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 Gene Regulatory Network Analysis (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 Gene Regulatory Network Analysis (1 paper). Martin Heusel collaborates with scholars based in Austria, Belgium and Germany. Martin Heusel's co-authors include Sepp Hochreiter, Thomas Unterthiner, Bernhard Nessler, Hubert Ramsauer, Andreas Mayr, Klaus Obermayer, Ulrich Bodenhofer, Suzy Van Sanden, Ziv Shkedy and Willem Talloen and has published in prestigious journals such as Bioinformatics, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Martin Heusel

6 papers receiving 2.4k citations

Hit Papers

GANs Trained by a Two Tim... 2017 2026 2020 2023 2017 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Martin Heusel 1.7k 583 304 203 137 6 2.5k
Douglas E. Zongker 999 0.6× 757 1.3× 222 0.7× 217 1.1× 206 1.5× 9 2.1k
Thomas Unterthiner 2.0k 1.1× 811 1.4× 651 2.1× 208 1.0× 173 1.3× 22 3.7k
John Nickolls 816 0.5× 757 1.3× 382 1.3× 231 1.1× 89 0.6× 15 4.3k
豊 松尾 1.5k 0.9× 1.7k 2.9× 212 0.7× 89 0.4× 138 1.0× 5 3.6k
C. T. Zahn 1.4k 0.8× 731 1.3× 136 0.4× 85 0.4× 145 1.1× 24 2.6k
Antonia Creswell 1.1k 0.6× 971 1.7× 89 0.3× 80 0.4× 226 1.6× 6 3.0k
Yossi Rubner 2.7k 1.6× 994 1.7× 195 0.6× 184 0.9× 365 2.7× 13 4.6k
Martín Arjovsky 1.5k 0.9× 1.0k 1.8× 64 0.2× 87 0.4× 223 1.6× 4 2.8k
S. Sternberg 1.4k 0.8× 315 0.5× 93 0.3× 78 0.4× 308 2.2× 14 2.5k
Tom White 970 0.6× 843 1.4× 80 0.3× 63 0.3× 219 1.6× 7 2.9k

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).

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.

Co-authorship network of co-authors of Martin Heusel

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