Jasper van der Waa
- Artificial Intelligence top 5%
- Safety Research top 5%
- Health Informatics top 2%
- Information Systems and Management top 10%
- Social Psychology
- Co-authors
- Mark A. NeerincxAnita CremersJurriaan van DiggelenKarel Van den BoschStephan RaaijmakersHans StokkingAnne-Marie BrouwerP. Weßels
- Topics
- Explainable Artificial Intelligence (XAI) (6 papers)Big Data and Business Intelligence (2 papers)Maritime Navigation and Safety (2 papers)
- Journals
- Artificial IntelligenceFrontiers in Human NeuroscienceInternational Journal of Human-Computer Studies
- Partner nations
- NetherlandsNorway
In The Last Decade
Jasper van der Waa
12 papers receiving 280 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 224
- Safety Research 69
- Health Informatics 59
- Information Systems and Management 34
- Social Psychology 27
Countries citing papers authored by Jasper van der Waa
This map shows the geographic impact of Jasper van der Waa'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 Jasper van der Waa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasper van der Waa more than expected).
Fields of papers citing papers by Jasper van der Waa
This network shows the impact of papers produced by Jasper van der Waa. 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 Jasper van der Waa. The network helps show where Jasper van der Waa may publish in the future.
Co-authorship network of co-authors of Jasper van der Waa
This figure shows the co-authorship network connecting the top 25 collaborators of Jasper van der Waa. A scholar is included among the top collaborators of Jasper van der Waa 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 Jasper van der Waa. Jasper van der Waa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 42 | |
| 8 | 201 | |
| 9 | 4 | |
| 10 | Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences | 5 |
| 11 | 4 | |
| 12 | 1 | |
| 13 | Adaptive Maritime Automation : Final Report | 1 |
| 14 | 8 |
About Jasper van der Waa
Jasper van der Waa is a scholar working on Health Informatics, Human-Computer Interaction and Artificial Intelligence, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (6 papers), Big Data and Business Intelligence (2 papers) and Maritime Navigation and Safety (2 papers). The work is most often cited by research in Health Informatics (59 citations), Safety Research (69 citations) and General Decision Sciences (13 citations). Jasper van der Waa has collaborated with scholars based in Netherlands and Norway. Frequent co-authors include Mark A. Neerincx, Anita Cremers, Jurriaan van Diggelen, Karel Van den Bosch, Stephan Raaijmakers, Hans Stokking, Anne-Marie Brouwer, P. Weßels, J. van den Broek and Joris Sijs. Their work appears in journals such as Artificial Intelligence, Frontiers in Human Neuroscience and International Journal of Human-Computer Studies.
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.