Michael Leuenberger

About

Michael Leuenberger is a scholar working on Artificial Intelligence, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Leuenberger has authored 13 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Global and Planetary Change and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Leuenberger’s work include Machine Learning and ELM (4 papers), Neural Networks and Applications (4 papers) and Fire effects on ecosystems (4 papers). Michael Leuenberger is often cited by papers focused on Machine Learning and ELM (4 papers), Neural Networks and Applications (4 papers) and Fire effects on ecosystems (4 papers). Michael Leuenberger collaborates with scholars based in Switzerland, United States and Belgium. Michael Leuenberger's co-authors include Mikhaïl Kanevski, Natan Micheletti, Andrea Pedrazzini, Michel Jaboyedoff, Loris Foresti, Sylvain Robert, Marj Tonini, Mário Pereira, Joana Parente and Marco Conedera and has published in prestigious journals such as Pattern Recognition, Physica A Statistical Mechanics and its Applications and Computers & Geosciences.

In The Last Decade

Co-authorship network of co-authors of Michael Leuenberger i

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Fields of papers citing papers by Michael Leuenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Leuenberger

Since Specialization

Citations

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