Matthijs M. Maas
- Safety Research top 2%
- Sociology and Political Science top 10%
- Political Science and International Relations top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Keith HaywardPeter CihonLuke KempKristian Cedervall LautaCharlotte StixJeroen HopsterJohn DanaherSeth D. Baum
- Topics
- Ethics and Social Impacts of AI (16 papers)Space Science and Extraterrestrial Life (5 papers)Neuroethics, Human Enhancement, Biomedical Innovations (4 papers)
- Journals
- FuturesGlobal Policyforesight
- Partner nations
- DenmarkUnited KingdomUnited States
In The Last Decade
Matthijs M. Maas
28 papers receiving 414 citations
Peers
Comparison fields: 5 of 77
- Safety Research 208
- Sociology and Political Science 134
- Political Science and International Relations 93
- Artificial Intelligence 82
- Cognitive Neuroscience 74
Countries citing papers authored by Matthijs M. Maas
This map shows the geographic impact of Matthijs M. Maas'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 Matthijs M. Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthijs M. Maas more than expected).
Fields of papers citing papers by Matthijs M. Maas
This network shows the impact of papers produced by Matthijs M. Maas. 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 Matthijs M. Maas. The network helps show where Matthijs M. Maas may publish in the future.
Co-authorship network of co-authors of Matthijs M. Maas
This figure shows the co-authorship network connecting the top 25 collaborators of Matthijs M. Maas. A scholar is included among the top collaborators of Matthijs M. Maas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthijs M. Maas. Matthijs M. Maas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 34 | |
| 15 | 1 | |
| 16 | 31 | |
| 17 | 18 | |
| 18 | Regulating for 'Normal AI Accidents': Operational Lessons for the Responsible Governance of Artificial Intelligence Deployment | 6 |
| 19 | 38 | |
| 20 | The Machiavelli Code: J.H. Hexter’s Analysis of ‘Lo Stato’ in Relation to Problems of Meaning in the History of Ideas | 1 |
About Matthijs M. Maas
Matthijs M. Maas is a scholar working on Safety Research, Astronomy and Astrophysics and Political Science and International Relations, having authored 31 papers that have together received 442 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (16 papers), Space Science and Extraterrestrial Life (5 papers) and Neuroethics, Human Enhancement, Biomedical Innovations (4 papers). The work is most often cited by research in Safety Research (208 citations), Health Informatics (23 citations) and Political Science and International Relations (93 citations). Matthijs M. Maas has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Keith Hayward, Peter Cihon, Luke Kemp, Kristian Cedervall Lauta, Charlotte Stix, Jeroen Hopster, John Danaher, Seth D. Baum, Stuart Armstrong and Anders Sandberg. Their work appears in journals such as Futures, Global Policy and foresight.
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.