Andreas Ejupi

981 total citations
20 papers, 722 citations indexed

About

Andreas Ejupi is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Andreas Ejupi has authored 20 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physical Therapy, Sports Therapy and Rehabilitation, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Biomedical Engineering. Recurrent topics in Andreas Ejupi's work include Balance, Gait, and Falls Prevention (13 papers), Context-Aware Activity Recognition Systems (9 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Andreas Ejupi is often cited by papers focused on Balance, Gait, and Falls Prevention (13 papers), Context-Aware Activity Recognition Systems (9 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Andreas Ejupi collaborates with scholars based in Australia, Austria and Canada. Andreas Ejupi's co-authors include Kim Delbaere, Stephen R. Lord, Yves J. Gschwind, Matthew A. Brodie, Janneke Annegarn, Carlo Menon, Rainer Wieching, Daniel Schoene, Konstantin Aal and Wolfgang L. Zagler and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and BioMed Research International.

In The Last Decade

Andreas Ejupi

20 papers receiving 711 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Ejupi Australia 15 374 186 176 175 162 20 722
James Tung Canada 14 201 0.5× 101 0.5× 174 1.0× 119 0.7× 50 0.3× 52 705
Yves J. Gschwind Australia 21 690 1.8× 159 0.9× 143 0.8× 392 2.2× 293 1.8× 26 1.3k
Heribert Baldus Germany 16 268 0.7× 104 0.6× 318 1.8× 127 0.7× 174 1.1× 28 868
Ríona Mc Ardle United Kingdom 14 275 0.7× 61 0.3× 135 0.8× 333 1.9× 75 0.5× 48 732
K.M. Culhane Ireland 8 270 0.7× 214 1.2× 285 1.6× 89 0.5× 150 0.9× 10 719
Christian Werner Germany 16 258 0.7× 43 0.2× 109 0.6× 179 1.0× 75 0.5× 58 636
Moran Dorfman Israel 9 661 1.8× 104 0.6× 219 1.2× 395 2.3× 93 0.6× 10 993
Luca Palmerini Italy 18 533 1.4× 263 1.4× 394 2.2× 205 1.2× 88 0.5× 40 1.0k
Uffe Læssøe Denmark 18 354 0.9× 36 0.2× 157 0.9× 232 1.3× 114 0.7× 44 1.0k
Carlo Tacconi Italy 10 186 0.5× 165 0.9× 147 0.8× 82 0.5× 53 0.3× 16 472

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-authorship network of co-authors of Andreas Ejupi

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Ejupi. A scholar is included among the top collaborators of Andreas Ejupi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Ejupi. Andreas Ejupi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vries, G. de, Giulio Valenti, Andreas Ejupi, et al.. (2024). Patient Experience and Feasibility of a Remote Monitoring System in Parkinson's Disease. Movement Disorders Clinical Practice. 11(10). 1223–1231. 2 indexed citations
2.
Rispens, Sietse M., L.G.E. Cox, Andreas Ejupi, et al.. (2021). Validation of Walking Speed Estimation from Trunk Mounted Accelerometers for a Range of Walking Speeds. Sensors. 21(5). 1854–1854. 3 indexed citations
3.
Ejupi, Andreas & Carlo Menon. (2018). Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors. Sensors. 18(8). 2474–2474. 21 indexed citations
4.
5.
6.
Goubran, Rafik, et al.. (2018). Video-Based Analysis of Heart Rate Applied to Falls. 1–5. 4 indexed citations
7.
Ejupi, Andreas, et al.. (2018). Quantification of Textile-Based Stretch Sensors Using Machine Learning: An Exploratory Study. 2. 254–259. 6 indexed citations
8.
Ejupi, Andreas, Kimberley S. van Schooten, Omar Aziz, et al.. (2017). Association between Sedentary Behaviour and Physical, Cognitive, and Psychosocial Status among Older Adults in Assisted Living. BioMed Research International. 2017. 1–7. 42 indexed citations
9.
Brodie, Matthew A., Milou J. M. Coppens, Andreas Ejupi, et al.. (2017). Comparison between clinical gait and daily‐life gait assessments of fall risk in older people. Geriatrics and gerontology international. 17(11). 2274–2282. 83 indexed citations
10.
Ejupi, Andreas, et al.. (2017). Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor. PubMed. 2017. 2150–2153. 14 indexed citations
11.
Ejupi, Andreas, Matthew A. Brodie, Stephen R. Lord, et al.. (2016). Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device. IEEE Transactions on Biomedical Engineering. 64(7). 1602–1607. 63 indexed citations
12.
Ejupi, Andreas, Yves J. Gschwind, Matthew A. Brodie, et al.. (2016). Kinect-based choice reaching and stepping reaction time tests for clinical and in-home assessment of fall risk in older people: a prospective study. European Review of Aging and Physical Activity. 13(1). 2–2. 23 indexed citations
13.
Marston, Hannah R., Ashley Woodbury, Yves J. Gschwind, et al.. (2015). The design of a purpose-built exergame for fall prediction and prevention for older people. European Review of Aging and Physical Activity. 12(1). 13–13. 25 indexed citations
14.
Ejupi, Andreas, Matthew A. Brodie, Yves J. Gschwind, et al.. (2015). Kinect-Based Five-Times-Sit-to-Stand Test for Clinical and In-Home Assessment of Fall Risk in Older People. Gerontology. 62(1). 118–124. 83 indexed citations
15.
Gschwind, Yves J., Daniel Schoene, Stephen R. Lord, et al.. (2015). The effect of sensor-based exercise at home on functional performance associated with fall risk in older people – a comparison of two exergame interventions. European Review of Aging and Physical Activity. 12(1). 11–11. 66 indexed citations
16.
Gschwind, Yves J., Andreas Ejupi, Helios De Rosario, et al.. (2015). ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial. European Review of Aging and Physical Activity. 12(1). 10–10. 93 indexed citations
17.
Ejupi, Andreas, Yves J. Gschwind, Trinidad Valenzuela, Stephen R. Lord, & Kim Delbaere. (2015). A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk: A Home-Based Study in Older People. Human-Computer Interaction. 31(3-4). 261–293. 31 indexed citations
18.
Ejupi, Andreas, Stephen R. Lord, & Kim Delbaere. (2014). New methods for fall risk prediction. Current Opinion in Clinical Nutrition & Metabolic Care. 17(5). 407–411. 46 indexed citations
19.
Gschwind, Yves J., Hannah R. Marston, Andreas Ejupi, et al.. (2014). ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial. BMC Geriatrics. 14(1). 91–91. 49 indexed citations
20.
Ejupi, Andreas, Matthew A. Brodie, Yves J. Gschwind, et al.. (2014). Choice stepping reaction time test using exergame technology for fall risk assessment in older people. PubMed. 2014. 6957–6960. 22 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by James Tung Breakdown of academic impact, for papers by Yves J. Gschwind Breakdown of academic impact, for papers by Heribert Baldus Breakdown of academic impact, for papers by Ríona Mc Ardle Breakdown of academic impact, for papers by K.M. Culhane Breakdown of academic impact, for papers by Christian Werner Breakdown of academic impact, for papers by Moran Dorfman Breakdown of academic impact, for papers by Luca Palmerini Breakdown of academic impact, for papers by Uffe Læssøe Breakdown of academic impact, for papers by Carlo Tacconi
Rankless by CCL
2026