Patrick Hautecœur

1.8k citations
73 papers · 709 indexed · h-index 17

Patrick Hautecœur

63 papers receiving 680 citations

Peers

Patrick Hautecœur
Comparison fields: 5 of 94
  • Pathology and Forensic Medicine 462
  • Neurology 145
  • Biological Psychiatry 16
  • Rheumatology 95
  • Psychiatry and Mental health 92
Replace Kristen M. Krysko with:
Kristen M. Krysko Canada
Fereshteh Ashtari Iran
Andrea Werdecker Germany
Charles Peter Tilbery Brazil
Marco Frontoni Italy
Anna Pokryszko‐Dragan Poland
L Metz Canada
Orlando Garcea Argentina
Sylvia Klineova United States
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Citations per year

Countries citing papers authored by Patrick Hautecœur

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Hautecœur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Patrick Hautecœur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Hautecœur Line = papers co-authored together Patrick Hautecœur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20234
4 20222
5 20212
6 20173
7 201624
8 201512
9 201525
10 20151
11 20159
12
Multiple Sclerosis lesion segmentation using Active Contours model and adaptive outlier detection method
20142
13 201440
14 20120
15 20111
16 200942
17 200323
18 200210
19 20023
20 200115

About Patrick Hautecœur

Patrick Hautecœur is a scholar working on Pathology and Forensic Medicine, Neurology, Neurology, Sensory Systems and Rheumatology, having authored 73 papers that have together received 709 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (34 papers), Neurology and Historical Studies (7 papers), Systemic Sclerosis and Related Diseases (6 papers), Polyomavirus and related diseases (4 papers), Systemic Lupus Erythematosus Research (4 papers), Peripheral Neuropathies and Disorders (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (462 citations), Neurology (145 citations), Biological Psychiatry (16 citations), Rheumatology (95 citations) and Psychiatry and Mental health (92 citations). Patrick Hautecœur has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Arnaud Kwiatkowski, Patrick Vermersch, J. de Sèze, G Forzy, C. Donzé, Hélène Zéphir, Christine Lebrun‐Frénay, Kathy Dujardin, Patrick Vermersch and Philippe Lehert. Their work appears in journals such as The Lancet Neurology, Multiple Sclerosis Journal, Neurology, Annals of Physical and Rehabilitation Medicine and Neurophysiologie Clinique.

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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