Ad Feelders

52 papers and 601 indexed citations i.

About

Ad Feelders is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Ad Feelders has authored 52 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Molecular Biology and 10 papers in Statistics and Probability. Recurrent topics in Ad Feelders’s work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Statistical Methods and Inference (8 papers). Ad Feelders is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Statistical Methods and Inference (8 papers). Ad Feelders collaborates with scholars based in The Netherlands, United Kingdom and Germany. Ad Feelders's co-authors include Hennie Daniels, Rob Potharst, Linda C. van der Gaag, Marcel Holsheimer, Arno Knobbe, Wouter Duivesteijn, H. Hogeveen, H. Mollenhorst, C. Kamphuis and Michael R. Berthold and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Environmental Research Letters.

In The Last Decade

Co-authorship network of co-authors of Ad Feelders i

Fields of papers citing papers by Ad Feelders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ad Feelders

Since Specialization
Citations

This map shows the geographic impact of Ad Feelders'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 Ad Feelders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ad Feelders 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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2025