Ad Notten

8 papers and 277 indexed citations i.

About

Ad Notten is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Materials Chemistry. According to data from OpenAlex, Ad Notten has authored 8 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 3 papers in Economics and Econometrics and 2 papers in Materials Chemistry. Recurrent topics in Ad Notten’s work include Complex Network Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers) and Social Media and Politics (2 papers). Ad Notten is often cited by papers focused on Complex Network Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers) and Social Media and Politics (2 papers). Ad Notten collaborates with scholars based in The Netherlands, Germany and Finland. Ad Notten's co-authors include Martin Rehm, Can Huang, Lili Wang, Jacques Mairesse, Bart Verspagen, Frank Cornelissen, Scott W. Cunningham, Torben Schubert, Alan J. Daly and Arho Suominen and has published in prestigious journals such as Teaching and Teacher Education, Scientometrics and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

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

Fields of papers citing papers by Ad Notten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ad Notten

Since Specialization
Citations

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