J. Rekers

14 papers and 253 indexed citations i.

About

J. Rekers is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, J. Rekers has authored 14 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Software and 2 papers in Computational Theory and Mathematics. Recurrent topics in J. Rekers’s work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (6 papers) and Topic Modeling (4 papers). J. Rekers is often cited by papers focused on Natural Language Processing Techniques (9 papers), Speech and dialogue systems (6 papers) and Topic Modeling (4 papers). J. Rekers collaborates with scholars based in The Netherlands, United States and Germany. J. Rekers's co-authors include Jan Heering, Paul Klint, Andreas Schürr and Paul Klint and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Co-authorship network of co-authors of J. Rekers i

Fields of papers citing papers by J. Rekers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. Rekers

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025