Fédor Moiseev

2.6k citations
22 papers · 1.0k indexed · 1 hit paper · h-index 11

Fédor Moiseev

18 papers receiving 998 citations

Hit Papers

Analyzing Multi-Head Self-Attention: Specialized Heads Do...5682019202620212023100200300400500

Peers

Fédor Moiseev
Comparison fields: 5 of 127
  • Physical Therapy, Sports Therapy and Rehabilitation 69
  • Computer Vision and Pattern Recognition 274
  • Artificial Intelligence 425
  • Rehabilitation 89
  • Human-Computer Interaction 39
Replace Mario Martínez‐Zarzuela with:
Mario Martínez‐Zarzuela Spain
Catalin Ionescu Romania
Matthew Loper Germany
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Chongyang Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Fédor Moiseev

Since Specialization
Citations

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

Fields of papers citing papers by Fédor Moiseev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202230
2 20154
3 201438
4 20145
5 2013207
6 201344
7 201315
8 201322
9 20135
10
From Modern Humans to Spy Ancestors? Comparison of the locomotion of anatomically modern humans and Neandertals (Spy II): A feasibility study
20120
11 201023
12 201023
13 201011
14 200931
15 20098
16 20091
17 20081
18 20070
19 20070
20 20060

About Fédor Moiseev

Fédor Moiseev is a scholar working on Anatomy, Rehabilitation, Archeology, Pharmacology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (6 papers), Musculoskeletal pain and rehabilitation (4 papers), Anatomy and Medical Technology (4 papers), Stroke Rehabilitation and Recovery (3 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Shoulder and Clavicle Injuries (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (69 citations), Computer Vision and Pattern Recognition (274 citations), Artificial Intelligence (425 citations), Rehabilitation (89 citations) and Human-Computer Interaction (39 citations). Fédor Moiseev has collaborated with scholars based in Belgium, Russia and Switzerland. Frequent co-authors include Elena Voita, Ivan Titov, David Talbot, Rico Sennrich, Marcel Rooze, Serge Van Sint Jan, Victor Sholukha, Patrick Salvia, Bruno Bonnechère and Jan Cornelis. Their work appears in journals such as Journal of Biomechanics, Gait & Posture, Forensic Science International, Clinical Biomechanics and Journal of Manipulative and Physiological Therapeutics.

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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