Deok-Hee Kim-Dufor

554 total citations
7 papers, 306 citations indexed

About

Deok-Hee Kim-Dufor is a scholar working on Artificial Intelligence, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Deok-Hee Kim-Dufor has authored 7 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Physiology and 2 papers in Psychiatry and Mental health. Recurrent topics in Deok-Hee Kim-Dufor's work include Machine Learning in Healthcare (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and Gender Studies in Language (1 paper). Deok-Hee Kim-Dufor is often cited by papers focused on Machine Learning in Healthcare (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and Gender Studies in Language (1 paper). Deok-Hee Kim-Dufor collaborates with scholars based in France and United States. Deok-Hee Kim-Dufor's co-authors include Sofian Berrouiguet, Taylor C. Ryan, Yannis Haralambous, Michel Walter, Jonathan Marsh, Philippe Lenca, Jordan DeVylder, Romain Billot, Aziliz Le Glaz and Christophe Lemey and has published in prestigious journals such as Journal of Medical Internet Research, Frontiers in Psychiatry and Acta Dermato Venereologica.

In The Last Decade

Deok-Hee Kim-Dufor

5 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deok-Hee Kim-Dufor France 2 108 99 82 55 51 7 306
Yannis Haralambous France 5 108 1.0× 119 1.2× 82 1.0× 53 1.0× 51 1.0× 28 354
Romain Billot France 6 129 1.2× 101 1.0× 105 1.3× 62 1.1× 53 1.0× 12 360
Aziliz Le Glaz France 4 137 1.3× 100 1.0× 102 1.2× 64 1.2× 54 1.1× 5 354
Jonathan Marsh United States 6 150 1.4× 104 1.1× 82 1.0× 63 1.1× 51 1.0× 8 379
Taylor C. Ryan United States 6 123 1.1× 97 1.0× 86 1.0× 54 1.0× 51 1.0× 10 404
Andrey Kormilitzin United Kingdom 13 52 0.5× 143 1.4× 31 0.4× 45 0.8× 56 1.1× 30 443
Nashva Ali Qatar 6 90 0.8× 108 1.1× 197 2.4× 67 1.2× 30 0.6× 10 312
Annika Marie Schoene United Kingdom 8 191 1.8× 164 1.7× 96 1.2× 66 1.2× 20 0.4× 16 353
Kyoko Osaka Japan 12 131 1.2× 123 1.2× 30 0.4× 31 0.6× 47 0.9× 41 357
Anirudh Thommandram Canada 8 36 0.3× 147 1.5× 105 1.3× 24 0.4× 72 1.4× 14 403

Countries citing papers authored by Deok-Hee Kim-Dufor

Since Specialization
Citations

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

Fields of papers citing papers by Deok-Hee Kim-Dufor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deok-Hee Kim-Dufor. 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 Deok-Hee Kim-Dufor. The network helps show where Deok-Hee Kim-Dufor may publish in the future.

Co-authorship network of co-authors of Deok-Hee Kim-Dufor

This figure shows the co-authorship network connecting the top 25 collaborators of Deok-Hee Kim-Dufor. A scholar is included among the top collaborators of Deok-Hee Kim-Dufor 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 Deok-Hee Kim-Dufor. Deok-Hee Kim-Dufor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Kim-Dufor, Deok-Hee, Michel Walter, Marie‐Odile Krebs, et al.. (2025). Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models. Frontiers in Psychiatry. 16. 1595197–1595197.
2.
Kim-Dufor, Deok-Hee, et al.. (2023). Psychosis Caused by a Somatic Condition: How to Make the Diagnosis? A Systematic Literature Review. Children. 10(9). 1439–1439.
3.
Glaz, Aziliz Le, Yannis Haralambous, Deok-Hee Kim-Dufor, et al.. (2020). Machine Learning and Natural Language Processing in Mental Health: Systematic Review. Journal of Medical Internet Research. 23(5). e15708–e15708. 300 indexed citations
4.
Berrouiguet, Sofian, et al.. (2020). Les marqueurs linguistiques dans l’amélioration du modèle prédictif de la transition vers la schizophrénie. L Encéphale. 47(5). 499–501. 1 indexed citations
5.
Kim-Dufor, Deok-Hee, et al.. (2017). The Need for Linguistically and Culturally Adapted Standard Questionnaires to Assess Itch: A Preliminary Study. Acta Dermato Venereologica. 97(8). 991–992. 1 indexed citations
6.
Kim-Dufor, Deok-Hee, Emmanuel Ferragne, Olivier Dufor, Corine Astésano, & Jean–Luc Nespoulous. (2012). A novel prosody assessment test: Findings in three cases of Landau–Kleffner syndrome. Journal of Neurolinguistics. 25(3). 194–211. 3 indexed citations
7.
Kim-Dufor, Deok-Hee, Emmanuel Ferragne, Olivier Dufor, Corine Astésano, & Jean–Luc Nespoulous. (2010). Perception and comprehension of linguistic and affective prosody in children with Landau-Kleffner syndrome. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026