Jordi Evers

11 papers receiving 310 citations

Jordi Evers's Hit Papers

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device 2024 · 55 citations
550+1Years since publication1020304050

Peers

Jordi Evers
Comparison fields: 5 of 49
  • Physical Therapy, Sports Therapy and Rehabilitation 153
  • Geriatrics and Gerontology 13
  • Computer Vision and Pattern Recognition 84
  • Neurology 39
  • Family Practice 4
Replace Martijn Niessen with:
Martijn Niessen Netherlands
Emily Hume United Kingdom
David Singleton United Kingdom
Dimitrios Megaritis United Kingdom
Lars Schwickert Germany
Ronny Bergquist Norway
Kirsty Scott United Kingdom
Isabel Neatrour United Kingdom
Ilaria D’Ascanio Italy
Yih Yiow Sitoh Singapore
Jordi Evers relative to Martijn Niessen Netherlands Martijn Niessen's profile →
Citations per field
00.5×1.5×
Martijn Niessen · 1×
Citations per year

Countries citing papers authored by Jordi Evers

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202179
2 202256
3
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Hit paper breakdown →
202455
4 201838
5 202328
6 202425
7 202313
8 202311
9 20147
10 20244
11 20213
12 20250

About Jordi Evers

Jordi Evers is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition, Neurology, Family Practice and General Health Professions, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (9 papers), Context-Aware Activity Recognition Systems (3 papers), Mobile Health and mHealth Applications (2 papers), Physical Activity and Health (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Data Visualization and Analytics (1 paper), Gait Recognition and Analysis (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (153 citations), Geriatrics and Gerontology (13 citations), Computer Vision and Pattern Recognition (84 citations), Neurology (39 citations) and Family Practice (4 citations). Jordi Evers has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Martijn Niessen, Jaap H. van Dieën, Rob C. van Lummel, Peter Jan Beek, Fabio Ciravegna, Alison Jane Yarnall, Neil Ireson, Silvia Del Din, Jian Shi and Lisa Alcock. Their work appears in journals such as BMJ Open, The Journals of Gerontology Series A, PLoS ONE, Gait & Posture and Frontiers in Neurology.

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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