Gregor Pavlin

22 papers and 100 indexed citations i.

About

Gregor Pavlin is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Gregor Pavlin has authored 22 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Information Systems. Recurrent topics in Gregor Pavlin’s work include Bayesian Modeling and Causal Inference (12 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Semantic Web and Ontologies (4 papers). Gregor Pavlin is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Semantic Web and Ontologies (4 papers). Gregor Pavlin collaborates with scholars based in The Netherlands, United States and South Africa. Gregor Pavlin's co-authors include Marinus Maris, Vanessa Evers, Frans C. A. Groen, Costin Bădică, Tina Comes, Michael Hiete, Paulo Costa, Martijn Warnier, Kathryn Blackmond Laskey and J. P. de Villiers and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Information Fusion and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Gregor Pavlin i

Fields of papers citing papers by Gregor Pavlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gregor Pavlin

Since Specialization
Citations

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