W. van der Meij

21 total papers · 571 total citations
13 papers, 425 citations indexed

About

W. van der Meij is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, W. van der Meij has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 6 papers in Cognitive Neuroscience and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in W. van der Meij's work include Epilepsy research and treatment (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Atomic and Subatomic Physics Research (3 papers). W. van der Meij is often cited by papers focused on Epilepsy research and treatment (7 papers), EEG and Brain-Computer Interfaces (5 papers) and Atomic and Subatomic Physics Research (3 papers). W. van der Meij collaborates with scholars based in Netherlands and Germany. W. van der Meij's co-authors include Linda S. de Vries, Mona C. Toet, Cuno S.P.M. Uiterwaal, Alexander C. van Huffelen, G.H. Wieneke, Onno van Nieuwenhuizen, J. Willemse, Geertjan Huiskamp, Max A. Viergever and Petra A. van den Elsen and has published in prestigious journals such as PEDIATRICS, Epilepsia and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

W. van der Meij

11 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
W. van der Meij	266	215	184	99	67	13	425
M Beirne	282 1.1×	111 0.5×	247 1.3×	118 1.2×	102 1.5×	16	492
F MOUSSALLISALEFRANQUE	321 1.2×	231 1.1×	44 0.2×	80 0.8×	90 1.3×	11	442
Jan Vervisch	306 1.2×	292 1.4×	60 0.3×	67 0.7×	43 0.6×	21	487
Kendall Nash	319 1.2×	68 0.3×	151 0.8×	102 1.0×	16 0.2×	17	474
Mikael Finder	319 1.2×	88 0.4×	59 0.3×	140 1.4×	8 0.1×	13	382
Abigail Flower	47 0.2×	234 1.1×	69 0.4×	51 0.5×	18 0.3×	13	460
Tineke Gebbink	101 0.4×	243 1.1×	199 1.1×	26 0.3×	121 1.8×	18	414
Matthew Markert	32 0.1×	121 0.6×	111 0.6×	79 0.8×	38 0.6×	20	487
Beverly Wical	201 0.8×	57 0.3×	290 1.6×	37 0.4×	51 0.8×	10	436
Philippe Noël	91 0.3×	53 0.2×	40 0.2×	55 0.6×	55 0.8×	25	450

Countries citing papers authored by W. van der Meij

Since Specialization

Citations

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

Fields of papers citing papers by W. van der Meij

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. van der Meij. 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 W. van der Meij. The network helps show where W. van der Meij may publish in the future.

Co-authorship network of co-authors of W. van der Meij

This figure shows the co-authorship network connecting the top 25 collaborators of W. van der Meij. A scholar is included among the top collaborators of W. van der Meij 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 W. van der Meij. W. van der Meij 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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