H. Servy

565 citations
17 papers · 342 indexed · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Rheumatoid Arthritis Research and Therapies
    • Spondyloarthritis Studies and Treatments
    • Systemic Lupus Erythematosus Research

Papers in

H. Servy

14 papers receiving 336 citations

Peers

H. Servy
Comparison fields: 5 of 67
  • Health Informatics 35
  • Rheumatology 201
  • Hematology 110
  • Family Practice 17
  • Rehabilitation 22
Replace Harriet Morf with:
Harriet Morf Germany
Rosana Quintana Argentina
Rosemary Adamson United States
Cheryl Koehn Canada
Sibtain Ahmed Pakistan
Amelia Santosa Singapore
Yiyuan Wu United States
Kevin Li United States
G. Schiffhorst Germany
Janney Wale Australia
H. Servy relative to Harriet Morf Germany Harriet Morf's profile →
Citations per field
00.5×8.8×
Harriet Morf · 1×
Citations per year

Countries citing papers authored by H. Servy

Since Specialization
Citations

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

Fields of papers citing papers by H. Servy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Servy, 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 H. Servy Line = papers co-authored together H. Servy links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201894
2 201950
3 201847
4 201743
5 201732
6 201923
7 202019
8 202116
9 20205
10 20185
11 20233
12 20123
13 20171
14 20201
15 20230
16 20170
17 20180

About H. Servy

H. Servy is a scholar working on Health Informatics, Family Practice, Rheumatology, Hematology and Health, having authored 17 papers that have together received 342 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), Spondyloarthritis Studies and Treatments (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Diabetes Management and Education (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Health Informatics (35 citations), Rheumatology (201 citations), Hematology (110 citations), Family Practice (17 citations) and Rehabilitation (22 citations). H. Servy has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Laure Gossec, Bruno Fautrel, Stéphane Mitrovic, Christophe Hudry, Violaine Foltz, Jérémie Sellam, Frédérique Gandjbakhch, Anna Moltó, Joanna Kedra and Didier Leroy. Their work appears in journals such as Annals of the Rheumatic Diseases, RMD Open, JMIR mhealth and uhealth, Sensors and Arthritis Care & Research.

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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