Jan de Moor

44 total papers · 817 total citations
33 papers, 565 citations indexed

About

Jan de Moor is a scholar working on Psychiatry and Mental health, Occupational Therapy and Developmental and Educational Psychology. According to data from OpenAlex, Jan de Moor has authored 33 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 13 papers in Occupational Therapy and 12 papers in Developmental and Educational Psychology. Recurrent topics in Jan de Moor's work include Assistive Technology in Communication and Mobility (13 papers), Cerebral Palsy and Movement Disorders (12 papers) and Family and Disability Support Research (9 papers). Jan de Moor is often cited by papers focused on Assistive Technology in Communication and Mobility (13 papers), Cerebral Palsy and Movement Disorders (12 papers) and Family and Disability Support Research (9 papers). Jan de Moor collaborates with scholars based in Netherlands and United States. Jan de Moor's co-authors include Hans van Balkom, Robert Didden, Kathleen Jenks, E.C.D.M. van Lieshout, Ludo Verhoeven, Marieke Peeters, Caroline Hummels, Bart Hengeveld, Kees Overbeeke and Leopold Curfs and has published in prestigious journals such as Journal of Child Psychology and Psychiatry, Research in Developmental Disabilities and Developmental Neuropsychology.

In The Last Decade

Jan de Moor

31 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Jan de Moor 236 183 120 115 113 33 565
Wied Ruijssenaars 70 0.3× 301 1.6× 165 1.4× 128 1.1× 88 0.8× 42 545
Marianne Jover 190 0.8× 355 1.9× 31 0.3× 153 1.3× 86 0.8× 44 616
Yannick Courbois 86 0.4× 222 1.2× 105 0.9× 138 1.2× 44 0.4× 36 695
Kim Bul 207 0.9× 204 1.1× 91 0.8× 128 1.1× 76 0.7× 29 587
Edward A. Workman 170 0.7× 313 1.7× 196 1.6× 249 2.2× 51 0.5× 26 656
Tindara Caprì 212 0.9× 97 0.5× 228 1.9× 411 3.6× 88 0.8× 50 694
L. Penny Rosenblum 36 0.2× 79 0.4× 131 1.1× 176 1.5× 135 1.2× 55 640
Liam Hill 125 0.5× 374 2.0× 57 0.5× 95 0.8× 144 1.3× 31 606
Shelley Mulligan 278 1.2× 217 1.2× 113 0.9× 231 2.0× 75 0.7× 34 566
Kathryn Wolff Heller 72 0.3× 329 1.8× 100 0.8× 159 1.4× 140 1.2× 38 553

Countries citing papers authored by Jan de Moor

Since Specialization
Citations

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

Fields of papers citing papers by Jan de Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan de Moor. 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 Jan de Moor. The network helps show where Jan de Moor may publish in the future.

Co-authorship network of co-authors of Jan de Moor

This figure shows the co-authorship network connecting the top 25 collaborators of Jan de Moor. A scholar is included among the top collaborators of Jan de Moor 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 Jan de Moor. Jan de Moor 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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