Florence Aïm

1.0k citations
22 papers · 697 indexed · h-index 11

Florence Aïm

20 papers receiving 681 citations

Peers

Florence Aïm
Comparison fields: 5 of 95
  • Surgery 472
  • Human-Computer Interaction 46
  • Anesthesiology and Pain Medicine 36
  • Hepatology 36
  • Epidemiology 155
Replace Kash Akhtar with:
Kash Akhtar United Kingdom
Jacobien H. F. Oosterhoff Netherlands
Brian Mullis United States
Christian A. Péan United States
Stephanie A. Bernard United States
Russell E. Holzgrefe United States
Hao Xiang Australia
Michele B. Ryan United States
Patricia Sánchez González Spain
Gary Crosthwaite Australia
Florence Aïm relative to Kash Akhtar United Kingdom Kash Akhtar's profile →
Citations per field
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Kash Akhtar · 1×
Citations per year

Countries citing papers authored by Florence Aïm

Since Specialization
Citations

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

Fields of papers citing papers by Florence Aïm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20230
3 20233
4 202212
5 20201
6 201917
7 20192
8 201758
9 201723
10 201545
11 2015174
12 20150
13 20151
14 201450
15 201414
16 201418
17 20132
18 2013172
19 201285
20 20113

About Florence Aïm

Florence Aïm is a scholar working on Surgery, Epidemiology and Anesthesiology and Pain Medicine, having authored 22 papers that have together received 697 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (10 papers), Shoulder and Clavicle Injuries (9 papers), Orthopedic Infections and Treatments (6 papers), Total Knee Arthroplasty Outcomes (5 papers), Orthopaedic implants and arthroplasty (3 papers), Musculoskeletal synovial abnormalities and treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Surgery (472 citations), Human-Computer Interaction (46 citations) and Anesthesiology and Pain Medicine (36 citations). Florence Aïm has collaborated with scholars based in France, Greece and United Kingdom. Frequent co-authors include Rémy Nizard, G. Lonjon, Didier Hannouche, Philippe Ravaud, Ludovic Trinquart, Isabelle Boutron, Geoffroy Nourissat, Shahnaz Klouche, Thomas Bauer and Jérôme Delambre. Their work appears in journals such as Orthopaedics & Traumatology Surgery & Research, Journal of Hypertension, Journal of Clinical Medicine, Arthroscopy The Journal of Arthroscopic and Related Surgery and Hernia.

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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