Jaap Jumelet
- Artificial Intelligence
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Co-authors
- Dieuwke HupkesWillem ZuidemaRaquel FernándezKatrin SchulzShane Steinert‐ThrelkeldAfra AlishahiLucas WeberElia Bruni
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Journals
- Transactions of the Association for Computational LinguisticsUvA-DARE (University of Amsterdam)Aberdeen University Research Archive (Aberdeen University)
- Partner nations
- NetherlandsUnited KingdomSpain
In The Last Decade
Jaap Jumelet
7 papers receiving 57 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 46
- Cognitive Neuroscience 11
- Computer Vision and Pattern Recognition 7
- Experimental and Cognitive Psychology 7
- Developmental and Educational Psychology 5
Countries citing papers authored by Jaap Jumelet
This map shows the geographic impact of Jaap Jumelet'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 Jaap Jumelet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaap Jumelet more than expected).
Fields of papers citing papers by Jaap Jumelet
This network shows the impact of papers produced by Jaap Jumelet. 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 Jaap Jumelet. The network helps show where Jaap Jumelet may publish in the future.
Co-authorship network of co-authors of Jaap Jumelet
This figure shows the co-authorship network connecting the top 25 collaborators of Jaap Jumelet. A scholar is included among the top collaborators of Jaap Jumelet 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 Jaap Jumelet. Jaap Jumelet 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 28 |
About Jaap Jumelet
Jaap Jumelet is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Mechanical Engineering, having authored 10 papers that have together received 58 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (46 citations), Cognitive Neuroscience (11 citations) and Experimental and Cognitive Psychology (7 citations). Jaap Jumelet has collaborated with scholars based in Netherlands, United Kingdom and Spain. Frequent co-authors include Dieuwke Hupkes, Willem Zuidema, Raquel Fernández, Katrin Schulz, Shane Steinert‐Threlkeld, Afra Alishahi, Lucas Weber, Elia Bruni and Peter Shen. Their work appears in journals such as Transactions of the Association for Computational Linguistics, UvA-DARE (University of Amsterdam) and Aberdeen University Research Archive (Aberdeen University).
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.