Wim Wiegerinck

About

Wim Wiegerinck is a scholar working on Artificial Intelligence, Atmospheric Science and Cognitive Neuroscience. According to data from OpenAlex, Wim Wiegerinck has authored 38 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Atmospheric Science and 4 papers in Cognitive Neuroscience. Recurrent topics in Wim Wiegerinck’s work include Bayesian Modeling and Causal Inference (10 papers), Neural Networks and Applications (8 papers) and Meteorological Phenomena and Simulations (5 papers). Wim Wiegerinck is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Neural Networks and Applications (8 papers) and Meteorological Phenomena and Simulations (5 papers). Wim Wiegerinck collaborates with scholars based in The Netherlands, United States and Norway. Wim Wiegerinck's co-authors include Tom Heskes, Bert Kappen, Frank Selten, Onno Zoeter, Gregory S. Duane, David Barber, Manfred Opper, Ole Winther, Klaas Slooten and A Komoda and has published in prestigious journals such as PLoS ONE, Geophysical Research Letters and Bulletin of the American Meteorological Society.

In The Last Decade

Co-authorship network of co-authors of Wim Wiegerinck i

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Fields of papers citing papers by Wim Wiegerinck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wim Wiegerinck

Since Specialization

Citations

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