Joel Niklaus
Impact in
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Artificial Intelligence in Law 10
- Law 6
- Legal Education and Practice Innovations 3
- Comparative and International Law Studies 3
- Legal Language and Interpretation 1
- Judicial and Constitutional Studies 1
- Co-authors
- Ilias Chalkidis (3 shared papers)Pooja Rani (1 shared paper)Andrea Galassi (1 shared paper)Stefan Klöppel (1 shared paper)Prabitha Urwyler (2 shared papers)Daniel E. Ho (2 shared papers)Tobias Nef (2 shared papers)René M. Müri (1 shared paper)
- Journals
- JMIR Serious Games (1 paper)JMIR Aging (1 paper)Research at the University of Copenhagen (University of Copenhagen) (1 paper)ARBOR - Bern University of Applied Sciences Repository (2 papers)Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (1 paper)
- Partner nations
- SwitzerlandUnited StatesSouth Korea
In The Last Decade
Joel Niklaus
11 papers receiving 72 citations
Peers
Comparison fields: 5 of 31
- Health Informatics 4
- Neuropsychology and Physiological Psychology 2
- Political Science and International Relations 34
- Artificial Intelligence 37
- Law 11
Countries citing papers authored by Joel Niklaus
This map shows the geographic impact of Joel Niklaus'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 Joel Niklaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Niklaus more than expected).
Fields of papers citing papers by Joel Niklaus
This network shows the impact of papers produced by Joel Niklaus. 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 Joel Niklaus. The network helps show where Joel Niklaus may publish in the future.
Co-authors
The 15 scholars most cited alongside Joel Niklaus, 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 | 2023 | 24 | |
| 2 | 2024 | 12 | |
| 3 | 2021 | 11 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 0 |
About Joel Niklaus
Joel Niklaus is a scholar working on Political Science and International Relations, Law, Artificial Intelligence, Information Systems and Economics and Econometrics, having authored 12 papers that have together received 74 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (10 papers), Legal Education and Practice Innovations (3 papers), Comparative and International Law Studies (3 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Legal Language and Interpretation (1 paper), Judicial and Constitutional Studies (1 paper) and Law, Economics, and Judicial Systems (1 paper). The work is most often cited by research in Health Informatics (4 citations), Neuropsychology and Physiological Psychology (2 citations), Political Science and International Relations (34 citations), Artificial Intelligence (37 citations) and Law (11 citations). Joel Niklaus has collaborated with scholars based in Switzerland, United States and South Korea. Frequent co-authors include Ilias Chalkidis, Pooja Rani, Andrea Galassi, Stefan Klöppel, Prabitha Urwyler, Daniel E. Ho, Tobias Nef, René M. Müri, Daniel Brunner and Peter Henderson. Their work appears in journals such as JMIR Serious Games, JMIR Aging, Research at the University of Copenhagen (University of Copenhagen), ARBOR - Bern University of Applied Sciences Repository and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.