J. Brandstetter

12 papers and 117 indexed citations i.

About

J. Brandstetter is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, J. Brandstetter has authored 12 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Materials Chemistry. Recurrent topics in J. Brandstetter’s work include Hydrological Forecasting Using AI (2 papers), Computational Physics and Python Applications (2 papers) and Hydrology and Watershed Management Studies (2 papers). J. Brandstetter is often cited by papers focused on Hydrological Forecasting Using AI (2 papers), Computational Physics and Python Applications (2 papers) and Hydrology and Watershed Management Studies (2 papers). J. Brandstetter collaborates with scholars based in Austria, United States and The Netherlands. J. Brandstetter's co-authors include Sepp Hochreiter, Grey Nearing, Daniel Klotz, Alden Keefe Sampson, Frederik Kratzert, Martin Gauch, Günter Klambauer, Manuel Erhard, Mario Krenn and Johannes Kofler and has published in prestigious journals such as Nature, Blood and Computer Physics Communications.

In The Last Decade

Co-authorship network of co-authors of J. Brandstetter i

Fields of papers citing papers by J. Brandstetter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. Brandstetter

Since Specialization
Citations

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