Sepp Hochreiter

83 papers and 55.3k indexed citations i.

About

Sepp Hochreiter is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Sepp Hochreiter has authored 83 papers receiving a total of 55.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in Artificial Intelligence and 20 papers in Computational Theory and Mathematics. Recurrent topics in Sepp Hochreiter’s work include Computational Drug Discovery Methods (18 papers), Gene expression and cancer classification (14 papers) and Flood Risk Assessment and Management (12 papers). Sepp Hochreiter is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Gene expression and cancer classification (14 papers) and Flood Risk Assessment and Management (12 papers). Sepp Hochreiter collaborates with scholars based in Austria, Germany and United States. Sepp Hochreiter's co-authors include Jürgen Schmidhuber, Günter Klambauer, Thomas Unterthiner, Martin Heusel, Ulrich Bodenhofer, Hubert Ramsauer, Bernhard Nessler, Andreas Mayr, Daniel Klotz and Frederik Kratzert and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Sepp Hochreiter i

Fields of papers citing papers by Sepp Hochreiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sepp Hochreiter

Since Specialization
Citations

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