H.J.C. van Marle

84 total papers · 675 total citations
49 papers, 440 citations indexed

About

H.J.C. van Marle is a scholar working on Clinical Psychology, Social Psychology and Psychiatry and Mental health. According to data from OpenAlex, H.J.C. van Marle has authored 49 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Clinical Psychology, 15 papers in Social Psychology and 13 papers in Psychiatry and Mental health. Recurrent topics in H.J.C. van Marle's work include Psychopathy, Forensic Psychiatry, Sexual Offending (32 papers), Personality Disorders and Psychopathology (17 papers) and Schizophrenia research and treatment (13 papers). H.J.C. van Marle is often cited by papers focused on Psychopathy, Forensic Psychiatry, Sexual Offending (32 papers), Personality Disorders and Psychopathology (17 papers) and Schizophrenia research and treatment (13 papers). H.J.C. van Marle collaborates with scholars based in Netherlands, Canada and Belgium. H.J.C. van Marle's co-authors include Nicole Buck, Josanne D. M. van Dongen, Kris Goethals, Henk Nijman, Laura E. Drislane, J.H.M. Tulen, Ruud H. J. Hornsveld, Paul M.G. Emmelkamp, Jan Derksen and Peter Muris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Personality and Individual Differences and Psychoneuroendocrinology.

In The Last Decade

H.J.C. van Marle

47 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
H.J.C. van Marle	327	130	124	97	47	49	440
Ruud H. J. Hornsveld	366 1.1×	119 0.9×	142 1.1×	62 0.6×	56 1.2×	38	406
Volker Dittmann	245 0.7×	120 0.9×	49 0.4×	110 1.1×	27 0.6×	47	412
Paulette Marie Gillig	187 0.6×	89 0.7×	88 0.7×	153 1.6×	51 1.1×	33	493
Daniela Fonseca de Freitas	167 0.5×	78 0.6×	143 1.2×	103 1.1×	25 0.5×	38	410
Leon Salzman	243 0.7×	70 0.5×	60 0.5×	54 0.6×	50 1.1×	42	393
James M. Day	183 0.6×	134 1.0×	121 1.0×	70 0.7×	142 3.0×	40	446
Justin Simon	252 0.8×	99 0.8×	94 0.8×	34 0.4×	30 0.6×	30	418
Dana Lassri	301 0.9×	63 0.5×	126 1.0×	59 0.6×	37 0.8×	33	393
Alberto Collazzoni	258 0.8×	58 0.4×	113 0.9×	65 0.7×	30 0.6×	32	382
G. William Barnard	290 0.9×	175 1.3×	69 0.6×	43 0.4×	97 2.1×	31	479

Countries citing papers authored by H.J.C. van Marle

Since Specialization

Citations

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

Fields of papers citing papers by H.J.C. van Marle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J.C. van Marle. 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 H.J.C. van Marle. The network helps show where H.J.C. van Marle may publish in the future.

Co-authorship network of co-authors of H.J.C. van Marle

This figure shows the co-authorship network connecting the top 25 collaborators of H.J.C. van Marle. A scholar is included among the top collaborators of H.J.C. van Marle 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 H.J.C. van Marle. H.J.C. van Marle 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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