Nadine Ravinet

45 total papers · 452 total citations
17 papers, 231 citations indexed

About

Nadine Ravinet is a scholar working on Clinical Psychology, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Nadine Ravinet has authored 17 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 2 papers in Computer Networks and Communications and 2 papers in Cognitive Neuroscience. Recurrent topics in Nadine Ravinet's work include Psychotherapy Techniques and Applications (4 papers), Transportation Planning and Optimization (2 papers) and Personality Disorders and Psychopathology (2 papers). Nadine Ravinet is often cited by papers focused on Psychotherapy Techniques and Applications (4 papers), Transportation Planning and Optimization (2 papers) and Personality Disorders and Psychopathology (2 papers). Nadine Ravinet collaborates with scholars based in United States, United Kingdom and Australia. Nadine Ravinet's co-authors include Priya Narasimhan, Jessica Yakeley, Patrick E. Lanigan, Anthony Bateman, Gill McGauley, Jennifer Cohen, Salah S. Al‐Zaiti, Marilyn Hravnak, Stephanie Helman and Artur Dubrawski and has published in prestigious journals such as International Journal of Medical Informatics, The Electricity Journal and Academic Psychiatry.

In The Last Decade

Nadine Ravinet

15 papers receiving 210 citations

Author Peers

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

Author						Papers	Cites
Nadine Ravinet	67	50	39	35	31	17	231
Gonzalo J. Martinez	38 0.6×	42 0.8×	14 0.4×	19 0.5×	28 0.9×	20	310
Marc Schickler	15 0.2×	27 0.5×	47 1.2×	29 0.8×	24 0.8×	34	245
Jyrki Kaistinen	24 0.4×	38 0.8×	88 2.3×	28 0.8×	19 0.6×	20	321
N. Alm	15 0.2×	33 0.7×	67 1.7×	13 0.4×	45 1.5×	19	326
Zulqarnain Rashid	10 0.1×	36 0.7×	51 1.3×	41 1.2×	12 0.4×	24	293
Keng-hao Chang	16 0.2×	62 1.2×	20 0.5×	20 0.6×	80 2.6×	23	314
Henrique Damasceno Vianna	23 0.3×	23 0.5×	25 0.6×	21 0.6×	30 1.0×	20	328
Germán Montoro	22 0.3×	115 2.3×	32 0.8×	7 0.2×	11 0.4×	32	270
Arlette van Wissen	15 0.2×	20 0.4×	22 0.6×	9 0.3×	40 1.3×	19	277
Manohar Swaminathan	7 0.1×	90 1.8×	78 2.0×	27 0.8×	42 1.4×	23	257

Countries citing papers authored by Nadine Ravinet

Since Specialization

Citations

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

Fields of papers citing papers by Nadine Ravinet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadine Ravinet

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