Hannes Devos

3.0k total citations
120 papers, 2.1k citations indexed

About

Hannes Devos is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, Hannes Devos has authored 120 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Physical Therapy, Sports Therapy and Rehabilitation, 34 papers in Epidemiology and 24 papers in Psychiatry and Mental health. Recurrent topics in Hannes Devos's work include Older Adults Driving Studies (49 papers), Urban Transport and Accessibility (21 papers) and Traffic and Road Safety (21 papers). Hannes Devos is often cited by papers focused on Older Adults Driving Studies (49 papers), Urban Transport and Accessibility (21 papers) and Traffic and Road Safety (21 papers). Hannes Devos collaborates with scholars based in United States, Belgium and France. Hannes Devos's co-authors include Abiodun Akinwuntan, Alice Nieuwboer, Willy De Weerdt, Mark Tant, Maud Ranchet, Wim Vandenberghe, Liesbet De Wit, Sanghee Moon, John C. Morgan and Geert Verheyden and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Cochrane Database of Systematic Reviews.

In The Last Decade

Hannes Devos

111 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Devos United States 26 861 540 429 419 387 120 2.1k
Abiodun Akinwuntan United States 23 883 1.0× 268 0.5× 349 0.8× 494 1.2× 195 0.5× 89 1.8k
Juha T. Korpelainen Finland 37 471 0.5× 672 1.2× 776 1.8× 653 1.6× 970 2.5× 63 3.7k
Prudence Plummer United States 26 1.2k 1.3× 176 0.3× 992 2.3× 230 0.5× 1.1k 2.8× 69 2.6k
Orit Shechtman United States 23 490 0.6× 60 0.1× 201 0.5× 90 0.2× 236 0.6× 76 1.8k
Jasmine C. Menant Australia 29 2.0k 2.3× 343 0.6× 424 1.0× 159 0.4× 1.3k 3.2× 86 3.2k
James K. Richardson United States 34 1.4k 1.7× 567 1.1× 409 1.0× 452 1.1× 950 2.5× 98 3.3k
A. Shumway‐Cook United States 14 2.1k 2.4× 376 0.7× 553 1.3× 139 0.3× 1.3k 3.3× 24 3.2k
José Ângelo Barela Brazil 33 1.3k 1.5× 192 0.4× 273 0.6× 43 0.1× 842 2.2× 155 2.7k
Shmuel Springer Israel 15 1.3k 1.5× 502 0.9× 357 0.8× 75 0.2× 1.0k 2.6× 60 2.3k
Philippe Perrin France 34 1.4k 1.6× 152 0.3× 197 0.5× 195 0.5× 571 1.5× 143 3.9k

Countries citing papers authored by Hannes Devos

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Devos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Devos

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Devos. A scholar is included among the top collaborators of Hannes Devos 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 Hannes Devos. Hannes Devos 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.
Burns, Jeffrey M., Abiodun Akinwuntan, Maud Ranchet, et al.. (2025). Slowed Driving Reaction Time in Preclinical Alzheimer’s Disease. Journal of Applied Gerontology. 44(11). 1822–1831.
2.
3.
Zanotto, Tobia, Sharon Lynch, Jianghua He, et al.. (2024). Multimodal exercise training to reduce frailty in people with multiple sclerosis: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies. 10(1). 65–65. 1 indexed citations
4.
5.
Classen, Sherrilene, et al.. (2024). Automated Vehicles: Future Initiatives for Occupational Therapy Practitioners and Driver Rehabilitation Specialists. OTJR Occupational Therapy Journal of Research. 44(4). 543–553. 2 indexed citations
6.
Devos, Hannes, David B. Carr, & Abiodun Akinwuntan. (2023). Semi‐automated vehicles may not solve older drivers' mobility needs. Journal of the American Geriatrics Society. 71(9). 3010–3013. 3 indexed citations
7.
Burns, Jeffrey M., Abiodun Akinwuntan, Maud Ranchet, et al.. (2023). Driving Automation for Older Adults with Preclinical Alzheimer’s Disease. Gerontology. 69(11). 1307–1314. 2 indexed citations
8.
Dawson, Jennifer, Sharon Johnston, Shawn Marshall, et al.. (2023). Return to Driving Following Concussion: A Research Priority. Journal of Head Trauma Rehabilitation. 38(3). 277–278. 4 indexed citations
9.
Faieta, Julie, Hannes Devos, Michele K. York, et al.. (2021). Exercise interventions for older adults with Alzheimer’s disease: a systematic review and meta-analysis protocol. Systematic Reviews. 10(1). 6–6. 10 indexed citations
10.
Moon, Sanghee, et al.. (2020). Artificial neural networks in neurorehabilitation: A scoping review. medRxiv. 1 indexed citations
11.
Moon, Sanghee, et al.. (2020). Cognitive workload during verbal abstract reasoning in Parkinson’s disease: a pilot study. International Journal of Neuroscience. 131(5). 504–510. 6 indexed citations
12.
Lyons, Kelly E., et al.. (2020). Reliability and Validity of Pupillary Response During Dual-Task Balance in Parkinson Disease. Archives of Physical Medicine and Rehabilitation. 102(3). 448–455. 11 indexed citations
13.
Moon, Sanghee, Vibhash D. Sharma, Kelly E. Lyons, et al.. (2020). Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach. Journal of NeuroEngineering and Rehabilitation. 17(1). 125–125. 83 indexed citations
14.
Ranchet, Maud, John C. Morgan, Abiodun Akinwuntan, & Hannes Devos. (2019). Visual search and target detection during simulated driving in Parkinson’s disease. Accident Analysis & Prevention. 134. 105328–105328. 11 indexed citations
15.
Akinwuntan, Abiodun, Deborah Backus, James Grayson, & Hannes Devos. (2018). Validation of a short cognitive battery to screen for fitness‐to‐drive of people with multiple sclerosis. European Journal of Neurology. 25(10). 1250–1254. 8 indexed citations
16.
Devos, Hannes, et al.. (2018). Performance-based visual field testing for drivers with glaucoma: A pilot study. Traffic Injury Prevention. 19(7). 715–721. 8 indexed citations
17.
Moon, Sanghee, Maud Ranchet, Mark Tant, Abiodun Akinwuntan, & Hannes Devos. (2017). Comparison of Unsafe Driving Across Medical Conditions. Mayo Clinic Proceedings. 92(9). 1341–1350. 8 indexed citations
18.
Devos, Hannes, et al.. (2013). Profiling unsafe drivers with Parkinson's disease: does clinical subtype predict on-road driving performance?. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 2 indexed citations
19.
Wit, Liesbet De, Koen Putman, Hannes Devos, et al.. (2012). Five-year mortality and related prognostic factors after inpatient stroke rehabilitation: A European multi-centre study. Journal of Rehabilitation Medicine. 44(7). 547–552. 37 indexed citations
20.
Akinwuntan, Abiodun, Hannes Devos, Alice Nieuwboer, et al.. (2010). Short and long term effects of driving training after stroke. Lirias (KU Leuven). 2 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.

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