Michal Kafri

1.3k citations
41 papers · 927 indexed · h-index 16

Michal Kafri

38 papers receiving 903 citations

Peers

Michal Kafri
Comparison fields: 5 of 99
  • Rehabilitation 288
  • Physical Therapy, Sports Therapy and Rehabilitation 159
  • Psychiatry and Mental health 238
  • Computational Mathematics 8
  • Radiology, Nuclear Medicine and Imaging 297
Replace Yong-Hyun Kwon with:
Yong-Hyun Kwon South Korea
Wai Leung Ambrose Lo China
Esteban Obrero‐Gaitán Spain
Peter Rundquist United States
Hajime Yagura Japan
Serap Tomruk Sütbeyaz Türkiye
Sheng‐Che Yen United States
Nebahat Sezer Türkiye
Joanne M. Wagner United States
Lousin Moumdjian Belgium
Michal Kafri relative to Yong-Hyun Kwon South Korea Yong-Hyun Kwon's profile →
Citations per field
00.5×
Yong-Hyun Kwon · 1×
Citations per year

Countries citing papers authored by Michal Kafri

Since Specialization
Citations

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

Fields of papers citing papers by Michal Kafri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20230
4 20234
5 20230
6 20219
7 202111
8 202122
9 20166
10 201455
11 201412
12 20147
13 201323
14 2011134
15 201144
16 200520
17 200376
18 200222
19 2001192
20 200116

About Michal Kafri

Michal Kafri is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Rehabilitation and Psychiatry and Mental health, having authored 41 papers that have together received 927 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (15 papers), Cerebral Palsy and Movement Disorders (13 papers), Balance, Gait, and Falls Prevention (12 papers), Muscle activation and electromyography studies (5 papers), Musculoskeletal pain and rehabilitation (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Older Adults Driving Studies (4 papers). The work is most often cited by research in Rehabilitation (288 citations), Physical Therapy, Sports Therapy and Rehabilitation (159 citations) and Psychiatry and Mental health (238 citations). Michal Kafri has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Judith E. Deutsch, Ruth Dickstein, Yocheved Laufer, Talma Hendler, Osnat Atun‐Einy, Moshe Graif, Joab Chapman, Amos D. Korczyn, Yaniv Assaf and Yoram Cohen. Their work appears in journals such as Journal of neurosurgery, Magnetic Resonance in Medicine and Archives of Physical Medicine and Rehabilitation.

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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