Daniel K. Zondervan

498 total citations
25 papers, 305 citations indexed

About

Daniel K. Zondervan is a scholar working on Rehabilitation, Psychiatry and Mental health and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel K. Zondervan has authored 25 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rehabilitation, 17 papers in Psychiatry and Mental health and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel K. Zondervan's work include Stroke Rehabilitation and Recovery (19 papers), Cerebral Palsy and Movement Disorders (17 papers) and Spinal Cord Injury Research (6 papers). Daniel K. Zondervan is often cited by papers focused on Stroke Rehabilitation and Recovery (19 papers), Cerebral Palsy and Movement Disorders (17 papers) and Spinal Cord Injury Research (6 papers). Daniel K. Zondervan collaborates with scholars based in United States, Canada and Spain. Daniel K. Zondervan's co-authors include David J. Reinkensmeyer, Nizan Friedman, Renee Augsburger, Steven C. Cramer, Vicky Chan, Xing Zhao, D.J. Reinkensmeyer, Nir Friedman, M. Bachman and George Collier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Brain Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Daniel K. Zondervan

24 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel K. Zondervan United States 10 229 101 66 54 46 25 305
Angelica G. Thompson-Butel Australia 12 234 1.0× 96 1.0× 56 0.8× 85 1.6× 62 1.3× 19 326
Richard Geers Netherlands 10 253 1.1× 116 1.1× 123 1.9× 92 1.7× 48 1.0× 20 409
Marcus King New Zealand 10 215 0.9× 57 0.6× 48 0.7× 65 1.2× 55 1.2× 24 291
Provvidenza Tomasello Italy 6 156 0.7× 121 1.2× 35 0.5× 94 1.7× 60 1.3× 8 348
Lisa Tedesco Triccas Belgium 11 376 1.6× 112 1.1× 124 1.9× 84 1.6× 97 2.1× 31 513
Nizan Friedman United States 7 385 1.7× 131 1.3× 124 1.9× 88 1.6× 85 1.8× 8 475
Patricia Sánchez-Herrera-Baeza Spain 10 295 1.3× 154 1.5× 86 1.3× 146 2.7× 56 1.2× 35 468
Lise Worthen‐Chaudhari United States 11 293 1.3× 99 1.0× 135 2.0× 103 1.9× 59 1.3× 29 481
Ryanne Lemmens Netherlands 7 256 1.1× 156 1.5× 61 0.9× 118 2.2× 22 0.5× 12 340
Renee Augsburger United States 6 272 1.2× 83 0.8× 55 0.8× 57 1.1× 159 3.5× 8 434

Countries citing papers authored by Daniel K. Zondervan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Zondervan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Zondervan. 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 Daniel K. Zondervan. The network helps show where Daniel K. Zondervan may publish in the future.

Co-authorship network of co-authors of Daniel K. Zondervan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Zondervan. A scholar is included among the top collaborators of Daniel K. Zondervan 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 Daniel K. Zondervan. Daniel K. Zondervan 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.
Bishop, Lauri, Marika Demers, Justin B. Rowe, Daniel K. Zondervan, & Carolee J. Winstein. (2024). A Novel, Wearable Inertial Measurement Unit for Stroke Survivors: Validity, Acceptability, and Usability. Archives of Physical Medicine and Rehabilitation. 105(6). 1142–1150. 4 indexed citations
2.
Kenyon, Lisa K., et al.. (2024). The IndieTrainer system: a small-scale trial exploring a new approach to support powered mobility skill acquisition in children. Disability and Rehabilitation Assistive Technology. 19(8). 2953–2961. 1 indexed citations
3.
Johnson, Christopher A., et al.. (2023). Exercise repetition rate measured with simple sensors at home can be used to estimate Upper Extremity Fugl-Meyer score after stroke. SHILAP Revista de lepidopterología. 4. 1181766–1181766.
4.
Kenyon, Lisa K., et al.. (2023). The IndieTrainer system: a clinical trial protocol exploring use of a powered wheelchair training intervention for children with cerebral palsy. Disability and Rehabilitation Assistive Technology. 19(4). 1579–1589. 2 indexed citations
5.
Demers, Marika, et al.. (2023). Understanding stroke survivors’ preferences regarding wearable sensor feedback on functional movement: a mixed-methods study. Journal of NeuroEngineering and Rehabilitation. 20(1). 146–146. 10 indexed citations
6.
Johnson, Christopher, et al.. (2022). Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement. Frontiers in Neurology. 13. 896298–896298. 11 indexed citations
7.
Chan, Vicky, et al.. (2022). A Dynamic Wheelchair Armrest for Promoting Arm Exercise and Mobility After Stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1829–1839. 2 indexed citations
8.
Demers, Marika, Lauri Bishop, Justin B. Rowe, Daniel K. Zondervan, & Carolee J. Winstein. (2021). Insights Gained From Activity Monitors for Upper Limb Stroke Rehabilitation. Archives of Physical Medicine and Rehabilitation. 102(10). e21–e21. 1 indexed citations
9.
10.
Jones, Mike, George Collier, David J. Reinkensmeyer, et al.. (2020). Big Data Analytics and Sensor-Enhanced Activity Management to Improve Effectiveness and Efficiency of Outpatient Medical Rehabilitation. International Journal of Environmental Research and Public Health. 17(3). 748–748. 22 indexed citations
11.
12.
Zondervan, Daniel K., Nizan Friedman, Xing Zhao, et al.. (2016). Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program. The Journal of Rehabilitation Research and Development. 53(4). 457–472. 78 indexed citations
13.
Zondervan, Daniel K., et al.. (2015). Design and Evaluation of the Kinect-Wheelchair Interface Controlled (KWIC) Smart Wheelchair for Pediatric Powered Mobility Training. Assistive Technology. 27(3). 183–192. 10 indexed citations
14.
Zondervan, Daniel K., et al.. (2015). Use of a mechanically passive rehabilitation device as a training tool in Vietnam: impact on upper extremity rehabilitation after stroke. Physiotherapy. 101. e138–e139. 2 indexed citations
15.
Zondervan, Daniel K., Jaime E. Duarte, Justin B. Rowe, & David J. Reinkensmeyer. (2014). Time flies when you are in a groove: using entrainment to mechanical resonance to teach a desired movement distorts the perception of the movement’s timing. Experimental Brain Research. 232(3). 1057–1070. 4 indexed citations
16.
Zondervan, Daniel K., et al.. (2014). Machine-Based, Self-guided Home Therapy for Individuals With Severe Arm Impairment After Stroke. Neurorehabilitation and neural repair. 29(5). 395–406. 33 indexed citations
17.
Zondervan, Daniel K., et al.. (2013). The Resonating Arm Exerciser: design and pilot testing of a mechanically passive rehabilitation device that mimics robotic active assistance. Journal of NeuroEngineering and Rehabilitation. 10(1). 39–39. 22 indexed citations
18.
19.
Secoli, Riccardo, Daniel K. Zondervan, & David J. Reinkensmeyer. (2012). Using a Smart Wheelchair as a Gaming Device for Floor-Projected Games: A Mixed-Reality Environment for Training Powered-Wheelchair Driving Skills. Studies in health technology and informatics. 173. 450–6. 5 indexed citations
20.
Friedman, Nir, Vicky Chan, Daniel K. Zondervan, M. Bachman, & D.J. Reinkensmeyer. (2011). MusicGlove: Motivating and quantifying hand movement rehabilitation by using functional grips to play music. PubMed. 2011. 2359–2363. 47 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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