Tine De Moor

59 papers and 908 indexed citations i.

About

Tine De Moor is a scholar working on Economics and Econometrics, Computational Theory and Mathematics and Sociology and Political Science. According to data from OpenAlex, Tine De Moor has authored 59 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 9 papers in Computational Theory and Mathematics and 8 papers in Sociology and Political Science. Recurrent topics in Tine De Moor’s work include Historical Economic and Social Studies (22 papers), Formal Methods in Verification (8 papers) and Petri Nets in System Modeling (8 papers). Tine De Moor is often cited by papers focused on Historical Economic and Social Studies (22 papers), Formal Methods in Verification (8 papers) and Petri Nets in System Modeling (8 papers). Tine De Moor collaborates with scholars based in The Netherlands, Germany and Australia. Tine De Moor's co-authors include Jan Luiten van Zanden, Jörg Raisch, Giangiacomo Bravo, Paul Warde, Leigh Shaw‐Taylor, Sarah Carmichael, Koen Frenken, René van Weeren, J.M. Davoren and Jan Lucassen and has published in prestigious journals such as Science, PLoS ONE and Journal of Ecology.

In The Last Decade

Co-authorship network of co-authors of Tine De Moor i

Fields of papers citing papers by Tine De Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tine De Moor. 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 Tine De Moor. The network helps show where Tine De Moor may publish in the future.

Countries citing papers authored by Tine De Moor

Since Specialization
Citations

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