Daniel Lynch

4.7k total citations
20 papers, 1.8k citations indexed

About

Daniel Lynch is a scholar working on Rehabilitation, Neurology and Geophysics. According to data from OpenAlex, Daniel Lynch has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rehabilitation, 8 papers in Neurology and 5 papers in Geophysics. Recurrent topics in Daniel Lynch's work include Stroke Rehabilitation and Recovery (11 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Geological and Geochemical Analysis (5 papers). Daniel Lynch is often cited by papers focused on Stroke Rehabilitation and Recovery (11 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Geological and Geochemical Analysis (5 papers). Daniel Lynch collaborates with scholars based in United States, Switzerland and Italy. Daniel Lynch's co-authors include Bruce T. Volpe, Hermano Igo Krebs, Mark Ferraro, Neville Hogan, Neville Hogan, Steven K. Charles, Dustin Williams, J. Celestino, Jerome J. Palazzolo and Michael Galgano and has published in prestigious journals such as Lithos, IEEE Transactions on Robotics and Journal of Volcanology and Geothermal Research.

In The Last Decade

Daniel Lynch

19 papers receiving 1.7k 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 Lynch United States 14 1.3k 910 515 417 228 20 1.8k
M. Konrad Germany 7 871 0.7× 353 0.4× 471 0.9× 112 0.3× 455 2.0× 7 1.2k
Malcolm Griffin Canada 16 471 0.4× 345 0.4× 131 0.3× 44 0.1× 442 1.9× 28 1.4k
Chitralakshmi K. Balasubramanian United States 16 908 0.7× 408 0.4× 149 0.3× 89 0.2× 875 3.8× 19 1.5k
Sophie Makower United Kingdom 12 454 0.3× 246 0.3× 375 0.7× 79 0.2× 165 0.7× 19 755
Megan K. O’Brien United States 15 189 0.1× 198 0.2× 94 0.2× 132 0.3× 89 0.4× 51 724
James C. Wall Canada 19 488 0.4× 450 0.5× 114 0.2× 76 0.2× 585 2.6× 38 1.5k
Y. Blanc Switzerland 12 127 0.1× 683 0.8× 182 0.4× 52 0.1× 253 1.1× 30 1.4k
Mahmoud El‐Gohary United States 17 132 0.1× 422 0.5× 338 0.7× 95 0.2× 385 1.7× 50 1.4k
Sietse M. Rispens Netherlands 17 97 0.1× 328 0.4× 72 0.1× 60 0.1× 298 1.3× 25 1.1k
Marcello Naccarato Italy 18 233 0.2× 87 0.1× 280 0.5× 340 0.8× 100 0.4× 53 1.0k

Countries citing papers authored by Daniel Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lynch. A scholar is included among the top collaborators of Daniel Lynch 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 Lynch. Daniel Lynch 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.
Lynch, Daniel, Jason Pusey, Sean Gart, Paul B. Umbanhowar, & Kevin Lynch. (2024). Efficient, Responsive, and Robust Hopping on Deformable Terrain. IEEE Transactions on Robotics. 41. 782–800.
2.
Clarke, A. B., et al.. (2019). Tecolote volcano, Pinacate volcanic field (Sonora, Mexico): A case of highly explosive basaltic volcanism and shifting eruptive styles. Journal of Volcanology and Geothermal Research. 379. 23–44. 12 indexed citations
3.
Lynch, Daniel. (2019). Destined for War: Can America and China Escape Thucydides’s Trap?. History Reviews of New Books. 47(6). 164–166. 10 indexed citations
4.
Rabadi, Meheroz H., Michael Galgano, Daniel Lynch, et al.. (2008). A pilot study of activity-based therapy in the arm motor recovery post stroke: a randomized controlled trial. Clinical Rehabilitation. 22(12). 1071–1082. 61 indexed citations
5.
Volpe, Bruce T., Daniel Lynch, Mark Ferraro, et al.. (2008). Intensive Sensorimotor Arm Training Mediated by Therapist or Robot Improves Hemiparesis in Patients With Chronic Stroke. Neurorehabilitation and neural repair. 22(3). 305–310. 190 indexed citations
6.
Palazzolo, Jerome J., Mark Ferraro, Hermano Igo Krebs, et al.. (2007). Stochastic Estimation of Arm Mechanical Impedance During Robotic Stroke Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 15(1). 94–103. 71 indexed citations
7.
Krebs, Hermano Igo, Bruce T. Volpe, Dustin Williams, et al.. (2007). Robot-Aided Neurorehabilitation: A Robot for Wrist Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 15(3). 327–335. 398 indexed citations
8.
Hogan, Neville, Hermano Igo Krebs, Brandon Rohrer, et al.. (2006). Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery. The Journal of Rehabilitation Research and Development. 43(5). 605–605. 287 indexed citations
9.
Volpe, Bruce T., Mark Ferraro, Daniel Lynch, et al.. (2005). Robotics and other devices in the treatment of patients recovering from stroke. Current Neurology and Neuroscience Reports. 5(6). 465–470. 80 indexed citations
10.
Lynch, Daniel, et al.. (2005). Continuous passive motion improves shoulder joint integrity following stroke. Clinical Rehabilitation. 19(6). 594–599. 94 indexed citations
11.
Charles, Steven K., Hermano Igo Krebs, Bruce T. Volpe, Daniel Lynch, & Neville Hogan. (2005). Wrist Rehabilitation Following Stroke: Initial Clinical Results. 13–16. 62 indexed citations
12.
Krebs, Hermano Igo, Bruce T. Volpe, Daniel Lynch, & Neville Hogan. (2005). Stroke Rehabilitation: An Argument in Favor of a Robotic Gym. 1. 219–222. 6 indexed citations
13.
Krebs, Hermano Igo, Mark Ferraro, Stephen Buerger, et al.. (2004). Rehabilitation robotics: pilot trial of a spatial extension for MIT-Manus. Journal of NeuroEngineering and Rehabilitation. 1(1). 5–5. 317 indexed citations
14.
Volpe, Bruce T., Mark Ferraro, Daniel Lynch, et al.. (2004). Robotics and other devices in the treatment of patients recovering from stroke. Current Atherosclerosis Reports. 6(4). 314–319. 43 indexed citations
15.
Lynch, Daniel. (1999). Geriatric pain. PubMed. 3(5). 388–399. 11 indexed citations
16.
Lynch, Daniel, et al.. (1993). Isotopic evidence for the origin of Cenozoic volcanic rocks in the Pinacate volcanic field, northwestern Mexico. Lithos. 29(3-4). 295–302. 60 indexed citations
17.
Slate, Janet L., et al.. (1991). Soil-Carbonate Genesis in the Pinacate Volcanic Field, Northwestern Sonora, Mexico. Quaternary Research. 35(3-Part1). 400–416. 20 indexed citations
18.
Lynch, Daniel. (1981). Genesis and geochronology of alkaline volcanism in the Pinacate Volcanic Field Northwestern Sonora, Mexico. UA Campus Repository (The University of Arizona). 20 indexed citations
19.
Mendes, María Paula & Daniel Lynch. (1976). A bacteriological survey of washrooms and toilets. Journal of Hygiene. 76(2). 183–190. 45 indexed citations
20.
Lynch, Daniel. (1972). Reconnaissance geology of the Bernardino Volcanic Field, Cochise County, Arizona. UA Campus Repository (The University of Arizona). 6 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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