Maurice Preter

17 total papers · 990 total citations
10 papers, 668 citations indexed

About

Maurice Preter is a scholar working on Neurology, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Maurice Preter has authored 10 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Clinical Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Maurice Preter's work include Child and Adolescent Psychosocial and Emotional Development (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Cerebral Venous Sinus Thrombosis (2 papers). Maurice Preter is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Cerebral Venous Sinus Thrombosis (2 papers). Maurice Preter collaborates with scholars based in United States, China and France. Maurice Preter's co-authors include Alain Améri, Marie‐Germaine Bousser, Christophe Tzourio, Donald F. Klein, F Chédru, Jacqueline Conard, Marie Hélène Horellou, M Samama, Xiaoping Wang and Marina Vannucci and has published in prestigious journals such as Stroke, Biometrics and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Maurice Preter

10 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Maurice Preter 391 211 193 98 82 10 668
Neeraj Dubey 247 0.6× 83 0.4× 97 0.5× 63 0.6× 13 0.2× 8 615
Susan Wagner Glenn 145 0.4× 21 0.1× 43 0.2× 310 3.2× 97 1.2× 22 791
Tiiu Tomberg 179 0.5× 10 0.0× 116 0.6× 231 2.4× 17 0.2× 31 750
Chung‐Fen Tsai 307 0.8× 46 0.2× 12 0.1× 267 2.7× 9 0.1× 18 737
Paolo Previdi 189 0.5× 121 0.6× 13 0.1× 419 4.3× 31 0.4× 13 752
Hein Fennema 18 0.0× 212 1.0× 108 0.6× 30 0.3× 103 1.3× 16 769
Pilar Otermín 195 0.5× 31 0.1× 7 0.0× 118 1.2× 41 0.5× 20 728
Abraham Towbin 170 0.4× 36 0.2× 29 0.2× 46 0.5× 3 0.0× 19 622
Sharon Friefeld 138 0.4× 27 0.1× 138 0.7× 186 1.9× 3 0.0× 11 563
Venkatesh Krishnamurthy 231 0.6× 99 0.5× 6 0.0× 416 4.2× 74 0.9× 26 765

Countries citing papers authored by Maurice Preter

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Preter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Preter

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