Ad Notten
Impact in
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- scientometrics and bibliometrics research
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- Intellectual Property and Patents
Papers in
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- Computational Drug Discovery Methods 2
- Co-authors
- Martin Rehm (2 shared papers)Can Huang (2 shared papers)Lili Wang (1 shared paper)Jacques Mairesse (2 shared papers)Bart Verspagen (1 shared paper)Frank Cornelissen (1 shared paper)Alan J. Daly (1 shared paper)Arash Hajikhani (1 shared paper)
- Journals
- Economics of Innovation and New Technology (1 paper)Scientometrics (1 paper)Teachers College Record The Voice of Scholarship in Education (1 paper)MethodsX (1 paper)Teaching and Teacher Education (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Ad Notten
9 papers receiving 295 citations
Peers
Comparison fields: 5 of 80
- Statistics, Probability and Uncertainty 47
- Management of Technology and Innovation 46
- Communication 31
- Computer Science Applications 18
- Strategy and Management 43
Countries citing papers authored by Ad Notten
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).
Fields of papers citing papers by Ad Notten
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.
Co-authors
The 13 scholars most cited alongside Ad Notten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 127 | |
| 2 | 2016 | 106 | |
| 3 | 2012 | 43 | |
| 4 | Nanotechnology publications and patents: a review of social science studies and search strategies | 2008 | 9 |
| 5 | 2016 | 6 | |
| 6 | 2020 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2025 | 2 |
About Ad Notten
Ad Notten is a scholar working on Computational Theory and Mathematics, Economics and Econometrics, Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 9 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (2 papers), Impact of Technology on Adolescents (2 papers), Computational Drug Discovery Methods (2 papers), Complex Network Analysis Techniques (2 papers), Machine Learning in Materials Science (2 papers), Social Media and Politics (2 papers), Game Theory and Applications (1 paper) and Nanotechnology research and applications (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (47 citations), Management of Technology and Innovation (46 citations), Communication (31 citations), Computer Science Applications (18 citations) and Strategy and Management (43 citations). Ad Notten has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Martin Rehm, Can Huang, Lili Wang, Jacques Mairesse, Bart Verspagen, Frank Cornelissen, Alan J. Daly, Arash Hajikhani, Pierre Mohnen and Arho Suominen. Their work appears in journals such as Economics of Innovation and New Technology, Scientometrics, Teachers College Record The Voice of Scholarship in Education, MethodsX and Teaching and Teacher Education.
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.