Jasper van der Waa

32 total papers · 754 total citations
14 papers, 295 citations indexed

About

Jasper van der Waa is a scholar working on Artificial Intelligence, Social Psychology and Management Information Systems. According to data from OpenAlex, Jasper van der Waa has authored 14 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Management Information Systems. Recurrent topics in Jasper van der Waa's work include Explainable Artificial Intelligence (XAI) (6 papers), AI-based Problem Solving and Planning (2 papers) and Big Data and Business Intelligence (2 papers). Jasper van der Waa is often cited by papers focused on Explainable Artificial Intelligence (XAI) (6 papers), AI-based Problem Solving and Planning (2 papers) and Big Data and Business Intelligence (2 papers). Jasper van der Waa collaborates with scholars based in Netherlands and Norway. Jasper van der Waa's co-authors include Mark A. Neerincx, Anita Cremers, Jurriaan van Diggelen, Karel Van den Bosch, Stephan Raaijmakers, Anne-Marie Brouwer, Hans Stokking, Kim H. Veltman, Rick van der Kleij and J. van den Broek and has published in prestigious journals such as Artificial Intelligence, Frontiers in Human Neuroscience and International Journal of Human-Computer Studies.

In The Last Decade

Jasper van der Waa

12 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jasper van der Waa 219 69 58 34 27 14 295
Umang Bhatt 236 1.1× 89 1.3× 53 0.9× 14 0.4× 37 1.4× 25 360
Harsha Nori 220 1.0× 98 1.4× 47 0.8× 20 0.6× 15 0.6× 12 338
Xinru Wang 183 0.8× 106 1.5× 38 0.7× 23 0.7× 51 1.9× 10 266
Martijn Millecamp 157 0.7× 50 0.7× 33 0.6× 30 0.9× 27 1.0× 17 336
Zhuoran Lu 152 0.7× 79 1.1× 22 0.4× 15 0.4× 59 2.2× 22 251
Tobias Huber 148 0.7× 65 0.9× 43 0.7× 14 0.4× 48 1.8× 14 267
Martin Schuessler 161 0.7× 115 1.7× 42 0.7× 17 0.5× 6 0.2× 10 324
Lukas-Valentin Herm 91 0.4× 41 0.6× 24 0.4× 20 0.6× 15 0.6× 12 224
Alice Xiang 131 0.6× 78 1.1× 23 0.4× 7 0.2× 14 0.5× 18 287
Samir Passi 86 0.4× 126 1.8× 27 0.5× 36 1.1× 15 0.6× 9 272

Countries citing papers authored by Jasper van der Waa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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