Jaap Munneke

47 total papers · 736 total citations
23 papers, 506 citations indexed

About

Jaap Munneke is a scholar working on Cognitive Neuroscience, Clinical Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaap Munneke has authored 23 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 4 papers in Clinical Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaap Munneke's work include Visual perception and processing mechanisms (15 papers), Neural and Behavioral Psychology Studies (15 papers) and Neural dynamics and brain function (8 papers). Jaap Munneke is often cited by papers focused on Visual perception and processing mechanisms (15 papers), Neural and Behavioral Psychology Studies (15 papers) and Neural dynamics and brain function (8 papers). Jaap Munneke collaborates with scholars based in Netherlands, United Kingdom and Türkiye. Jaap Munneke's co-authors include Jan Theeuwes, Sander Martens, Addie Johnson, Dirk J. Heslenfeld, Stefan Van der Stigchel, Artem V. Belopolsky, Marius V. Peelen, Sylco S. Hoppenbrouwers, Jennifer E. Corbett and Veena Kumari and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jaap Munneke

22 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Jaap Munneke	452	103	51	49	36	23	506
Manon Mulckhuyse	510 1.1×	118 1.1×	73 1.4×	45 0.9×	50 1.4×	17	567
Mary H. MacLean	361 0.8×	103 1.0×	46 0.9×	50 1.0×	12 0.3×	21	474
Fabiano Botta	418 0.9×	166 1.6×	50 1.0×	57 1.2×	29 0.8×	35	521
Daniel Feuerriegel	487 1.1×	123 1.2×	22 0.4×	55 1.1×	16 0.4×	46	590
Gillian Porter	372 0.8×	117 1.1×	22 0.4×	68 1.4×	51 1.4×	19	502
Artyom Zinchenko	409 0.9×	174 1.7×	37 0.7×	85 1.7×	29 0.8×	44	531
Alexia Bourgeois	416 0.9×	61 0.6×	26 0.5×	31 0.6×	26 0.7×	34	515
Kyriaki Mikellidou	505 1.1×	143 1.4×	20 0.4×	69 1.4×	22 0.6×	20	565
Matthew A. Bezdek	395 0.9×	154 1.5×	29 0.6×	100 2.0×	42 1.2×	15	603
Francesco Marini	476 1.1×	124 1.2×	51 1.0×	94 1.9×	41 1.1×	26	604

Countries citing papers authored by Jaap Munneke

Since Specialization

Citations

This map shows the geographic impact of Jaap Munneke'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 Munneke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaap Munneke more than expected).

Fields of papers citing papers by Jaap Munneke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaap Munneke. 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 Munneke. The network helps show where Jaap Munneke may publish in the future.

Co-authorship network of co-authors of Jaap Munneke

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap Munneke. A scholar is included among the top collaborators of Jaap Munneke 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 Munneke. Jaap Munneke 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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