Andreas Ejupi

20 papers receiving 799 citations

Peers

Andreas Ejupi
Comparison fields: 5 of 80
  • Physical Therapy, Sports Therapy and Rehabilitation 359
  • Rehabilitation 83
  • Neuropsychology and Physiological Psychology 16
  • Geriatrics and Gerontology 28
  • Computer Vision and Pattern Recognition 179
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Janneke Annegarn Netherlands
Christian Werner Germany
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Uffe Læssøe Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Ejupi

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Ejupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Ejupi, 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 Andreas Ejupi Line = papers co-authored together Andreas Ejupi 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 2015107
2 201591
3 201791
4 201576
5 201668
6 201457
7 201447
8 201746
9 201838
10 201534
11 201829
12 201528
13 201626
14 201422
15 201717
16 201813
17 20186
18 20246
19 20214
20 20184

About Andreas Ejupi

Andreas Ejupi is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition, Biomedical Engineering, Human-Computer Interaction and Rehabilitation, having authored 21 papers that have together received 810 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (13 papers), Non-Invasive Vital Sign Monitoring (4 papers), Context-Aware Activity Recognition Systems (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Muscle activation and electromyography studies (2 papers), Physical Activity and Health (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (359 citations), Rehabilitation (83 citations), Neuropsychology and Physiological Psychology (16 citations), Geriatrics and Gerontology (28 citations) and Computer Vision and Pattern Recognition (179 citations). Andreas Ejupi has collaborated with scholars based in Australia, Austria and Canada. Frequent co-authors include Kim Delbaere, Stephen R. Lord, Yves J. Gschwind, Matthew A D Brodie, Janneke Annegarn, Carlo Menon, Rainer Wieching, Daniel Schoene, Konstantin Aal and Wolfgang L. Zagler. Their work appears in journals such as European Review of Aging and Physical Activity, Sensors, Current Opinion in Clinical Nutrition & Metabolic Care, Geriatrics and gerontology international and Parkinsonism & Related Disorders.

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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