Avrielle Rykman

786 total citations
14 papers, 575 citations indexed

About

Avrielle Rykman is a scholar working on Rehabilitation, Neurology and Neurology. According to data from OpenAlex, Avrielle Rykman has authored 14 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rehabilitation, 8 papers in Neurology and 5 papers in Neurology. Recurrent topics in Avrielle Rykman's work include Stroke Rehabilitation and Recovery (10 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Avrielle Rykman is often cited by papers focused on Stroke Rehabilitation and Recovery (10 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Avrielle Rykman collaborates with scholars based in United States, Australia and Spain. Avrielle Rykman's co-authors include Bruce T. Volpe, Dylan J. Edwards, Hermano Igo Krebs, Gary W. Thickbroom, Álvaro Pascual‐Leone, Laura Dipietro, Frank Mastaglia, Mar Cortes, Felipe Fregni and Patricio T. Huerta and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Avrielle Rykman

14 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avrielle Rykman United States 12 403 259 189 132 128 14 575
Jacob G. McPherson United States 11 201 0.5× 129 0.5× 164 0.9× 151 1.1× 142 1.1× 23 491
Niamh Kennedy United Kingdom 12 156 0.4× 208 0.8× 114 0.6× 139 1.1× 94 0.7× 32 432
Christopher Tomelleri Italy 8 456 1.1× 250 1.0× 261 1.4× 76 0.6× 95 0.7× 10 604
Kauko Pitkänen Finland 14 501 1.2× 150 0.6× 166 0.9× 175 1.3× 145 1.1× 17 719
Shanta Pandian India 14 486 1.2× 136 0.5× 91 0.5× 95 0.7× 209 1.6× 26 595
Tomokazu Noma Japan 13 393 1.0× 136 0.5× 175 0.9× 90 0.7× 214 1.7× 29 569
Nicole Varnerin United States 12 215 0.5× 389 1.5× 133 0.7× 165 1.3× 70 0.5× 15 509
Jessica McCabe United States 12 595 1.5× 110 0.4× 230 1.2× 134 1.0× 228 1.8× 23 744
Po‐Yi Tsai Taiwan 14 238 0.6× 325 1.3× 52 0.3× 184 1.4× 68 0.5× 25 575
Jacqueline A. Palmer United States 15 307 0.8× 169 0.7× 212 1.1× 134 1.0× 59 0.5× 27 603

Countries citing papers authored by Avrielle Rykman

Since Specialization
Citations

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

Fields of papers citing papers by Avrielle Rykman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avrielle Rykman

This figure shows the co-authorship network connecting the top 25 collaborators of Avrielle Rykman. A scholar is included among the top collaborators of Avrielle Rykman 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 Avrielle Rykman. Avrielle Rykman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Agrafiotis, Dimitris K., Eric Yang, Gary S. Littman, et al.. (2021). Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements. PLoS ONE. 16(1). e0245874–e0245874. 17 indexed citations
2.
Putrino, David, et al.. (2017). Patient Engagement Is Related to Impairment Reduction During Digital Game-Based Therapy in Stroke. Games for Health Journal. 6(5). 295–302. 36 indexed citations
3.
Cortes, Mar, G.W. Thickbroom, Jessica Elder, et al.. (2016). The corticomotor projection to liminally-contractable forearm muscles in chronic spinal cord injury: a transcranial magnetic stimulation study. Spinal Cord. 55(4). 362–366. 11 indexed citations
4.
Thickbroom, Gary W., Mar Cortes, Avrielle Rykman, et al.. (2015). Stroke subtype and motor impairment influence contralesional excitability. Neurology. 85(6). 517–520. 21 indexed citations
5.
Dohle, Carolin, et al.. (2013). Pilot study of a robotic protocol to treat shoulder subluxation in patients with chronic stroke. Journal of NeuroEngineering and Rehabilitation. 10(1). 88–88. 11 indexed citations
6.
Edwards, Dylan J., Mar Cortes, Gary W. Thickbroom, et al.. (2013). Preserved corticospinal conduction without voluntary movement after spinal cord injury. Spinal Cord. 51(10). 765–767. 22 indexed citations
7.
Elder, Jessica, Mar Cortes, Avrielle Rykman, et al.. (2013). The Epigenetics of Stroke Recovery and Rehabilitation: From Polycomb to Histone Deacetylases. Neurotherapeutics. 10(4). 808–816. 15 indexed citations
8.
Cortes, Mar, Jessica Elder, Avrielle Rykman, et al.. (2013). Improved motor performance in chronic spinal cord injury following upper-limb robotic training. Neurorehabilitation. 33(1). 57–65. 34 indexed citations
9.
Giacobbe, V., Hermano Igo Krebs, Bruce T. Volpe, et al.. (2013). Transcranial direct current stimulation (tDCS) and robotic practice in chronic stroke: The dimension of timing. Neurorehabilitation. 33(1). 49–56. 85 indexed citations
10.
Krebs, Hermano Igo, Michael Krams, Dimitris K. Agrafiotis, et al.. (2013). Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery. Stroke. 45(1). 200–204. 104 indexed citations
11.
Ruffini, Giulio, et al.. (2013). P 172. Focal tDCS in Chronic Stroke patients: A pilot study of physiological effects using TMS and concurrent EEG. Clinical Neurophysiology. 124(10). e146–e147. 2 indexed citations
12.
Sergi, Fabrizio, Hermano Igo Krebs, Avrielle Rykman, et al.. (2011). Predicting efficacy of robot-aided rehabilitation in chronic stroke patients using an MRI-compatible robotic device. PubMed. 2011. 7470–7473. 22 indexed citations
13.
Edwards, Dylan J., Hermano Igo Krebs, Avrielle Rykman, et al.. (2009). Raised corticomotor excitability of M1 forearm area following anodal tDCS is sustained during robotic wrist therapy in chronic stroke. Restorative Neurology and Neuroscience. 27(3). 199–207. 111 indexed citations
14.
Volpe, Bruce T., Patricio T. Huerta, Avrielle Rykman, et al.. (2009). Robotic Devices as Therapeutic and Diagnostic Tools for Stroke Recovery. Archives of Neurology. 66(9). 1086–90. 84 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

Rankless by CCL
2026