Linda C. van der Gaag

71 papers and 1.1k indexed citations i.

About

Linda C. van der Gaag is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Linda C. van der Gaag has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 10 papers in Computational Theory and Mathematics. Recurrent topics in Linda C. van der Gaag’s work include Bayesian Modeling and Causal Inference (53 papers), AI-based Problem Solving and Planning (21 papers) and Logic, Reasoning, and Knowledge (7 papers). Linda C. van der Gaag is often cited by papers focused on Bayesian Modeling and Causal Inference (53 papers), AI-based Problem Solving and Planning (21 papers) and Logic, Reasoning, and Knowledge (7 papers). Linda C. van der Gaag collaborates with scholars based in The Netherlands, Switzerland and United Kingdom. Linda C. van der Gaag's co-authors include Silja Renooij, Marek J. Drużdżel, Veerle M.H. Coupé, Ad Feelders, Babs G. Taal, B.M.P. Aleman, Cilia Witteman, J. Dik F. Habbema, Simon Parsons and Ben Gorte and has published in prestigious journals such as Journal of Dairy Science, Statistics in Medicine and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Linda C. van der Gaag i

Fields of papers citing papers by Linda C. van der Gaag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda C. van der Gaag

Since Specialization
Citations

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