Susannah Engdahl

457 citations
21 papers · 280 · h-index 9

Impact in

Papers in

Susannah Engdahl

19 papers receiving 270 citations

Peers

Susannah Engdahl
Comparison fields: 5 of 42
  • Rehabilitation 51
  • Cellular and Molecular Neuroscience 124
  • Cognitive Neuroscience 123
  • Biomedical Engineering 235
  • Human-Computer Interaction 11
Replace Rahman Davoodi with:
Rahman Davoodi United States
Beate Garfelt Norway
Brian M. Kelly United States
Amélie Touillet France
Morufu Olusola Ibitoye Nigeria
Milica Isaković Serbia
Eric M. Schearer United States
Liliana Paredes Germany
Natalija Katic Switzerland
Johnny V. V. Parr United Kingdom
Susannah Engdahl relative to Rahman Davoodi United States Rahman Davoodi's profile →
Citations per field
00.5×6.3×
Rahman Davoodi · 1×
Citations per year

Countries citing papers authored by Susannah Engdahl

Since Specialization
Citations

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

Fields of papers citing papers by Susannah Engdahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Susannah Engdahl, 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 Susannah Engdahl Line = papers co-authored together Susannah Engdahl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 202022
3 201719
4 201718
5 202216
6 201915
7 202113
8 202212
9 20198
10 20226
11 20205
12 20233
13 20233
14 20213
15 20203
16 20202
17 20212
18 20142
19 20231
20 20240

About Susannah Engdahl

Susannah Engdahl is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Rehabilitation and Surgery, having authored 21 papers that have together received 280 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (18 papers), Neuroscience and Neural Engineering (12 papers), Motor Control and Adaptation (6 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Stroke Rehabilitation and Recovery (5 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Rehabilitation (51 citations), Cellular and Molecular Neuroscience (124 citations), Cognitive Neuroscience (123 citations), Biomedical Engineering (235 citations) and Human-Computer Interaction (11 citations). Susannah Engdahl has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Deanna H. Gates, Alicia J. Davis, Cynthia A. Chestek, Brian M. Kelly, Breanne Christie, Sean K. Meehan, Siddhartha Sikdar, Rahsaan J. Holley, John F. P. Bridges and Guoqing Diao. Their work appears in journals such as Clinical Biomechanics, Gait & Posture, JPO Journal of Prosthetics and Orthotics, Journal of NeuroEngineering and Rehabilitation and Scientific Reports.

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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