Mark van der Wilk

19 papers and 412 indexed citations i.

About

Mark van der Wilk is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Mark van der Wilk has authored 19 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Control and Systems Engineering. Recurrent topics in Mark van der Wilk’s work include Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Mark van der Wilk is often cited by papers focused on Gaussian Processes and Bayesian Inference (11 papers), Machine Learning and Data Classification (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Mark van der Wilk collaborates with scholars based in United Kingdom, United States and Germany. Mark van der Wilk's co-authors include Yarin Gal, Alex Kendall, Adrian Weller, Rowan McAllister, Roberto Cipolla, Carl Edward Rasmussen, James Hensman, Anoop Shah, Zoubin Ghahramani and Alexis Boukouvalas and has published in prestigious journals such as Biotechnology and Bioengineering, Journal of Machine Learning Research and Computers & Chemical Engineering.

In The Last Decade

Co-authorship network of co-authors of Mark van der Wilk i

Fields of papers citing papers by Mark van der Wilk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark van der Wilk. 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 Mark van der Wilk. The network helps show where Mark van der Wilk may publish in the future.

Countries citing papers authored by Mark van der Wilk

Since Specialization
Citations

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