Alexander Remsik

595 total citations
13 papers, 366 citations indexed

About

Alexander Remsik is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Remsik has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 3 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Remsik's work include EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (9 papers) and Muscle activation and electromyography studies (3 papers). Alexander Remsik is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (9 papers) and Muscle activation and electromyography studies (3 papers). Alexander Remsik collaborates with scholars based in United States. Alexander Remsik's co-authors include Veena A. Nair, Vivek Prabhakaran, Brittany M. Young, Justin C. Williams, Kristin Caldera, Dorothy Farrar Edwards, Jie Song, Mitchell Tyler, Justin A. Sattin and Zack Nigogosyan and has published in prestigious journals such as Stroke, Frontiers in Neuroscience and Frontiers in Human Neuroscience.

In The Last Decade

Alexander Remsik

13 papers receiving 359 citations

Peers

Alexander Remsik

CMN

REHAB

RNMI

Kristin Caldera United States

Zack Nigogosyan United States

Léo M. Walton United States

Fanny Quandt Germany

R. Kh. Lyukmanov Russia

Cécile Magnin Switzerland

Keith Dodd United States

Disha Gupta United States

Mari Ito Japan

Wilson Low Singapore

Kristin Caldera United States

Alexander Remsik

291 ×1.1

127 ×1.0

CMN

118 ×1.1

82 ×0.8

REHAB

81 ×1.2

RNMI

Citations per year, relative to Alexander Remsik Alexander Remsik (= 1×) peers Kristin Caldera

Countries citing papers authored by Alexander Remsik

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Remsik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Remsik

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

All Works

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13 of 13 papers shown

Remsik, Alexander, Peter L. E. van Kan, Klevest Gjini, et al.. (2022). BCI-FES With Multimodal Feedback for Motor Recovery Poststroke. Frontiers in Human Neuroscience. 16. 725715–725715. 15 indexed citations

Remsik, Alexander, et al.. (2022). Abstract TP60: Stroke Recovery Using Brain Computer Interface. Stroke. 53(Suppl_1). 1 indexed citations

Remsik, Alexander, Klevest Gjini, Peter L. E. van Kan, et al.. (2021). Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors. Frontiers in Human Neuroscience. 15. 725645–725645. 8 indexed citations

Remsik, Alexander, Erik Björklund, Klevest Gjini, et al.. (2020). Abstract WP191: Ipsilesional Mu Sensorimotor Rhythms Track With Hand Function Recovery in Stroke Survivors. Stroke. 51(Suppl_1). 1 indexed citations

Remsik, Alexander, et al.. (2019). Abstract WP190: Ipsilesional Mu Changes Track With Behavioral Changes in UE BCI Intervention in Stroke Survivors. Stroke. 50(Suppl_1). 1 indexed citations

Nair, Veena A., Po‐Ling Loh, Alexander Remsik, et al.. (2018). Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis. Frontiers in Neuroscience. 12. 861–861. 15 indexed citations

Mohanty, Rosaleena, Alexander Remsik, Keith Dodd, et al.. (2018). Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning. Frontiers in Neuroscience. 12. 624–624. 19 indexed citations

Mohanty, Rosaleena, Alexander Remsik, Keith Dodd, et al.. (2018). Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity. Frontiers in Neuroscience. 12. 353–353. 31 indexed citations

Young, Brittany M., Julie Stamm, Jie Song, et al.. (2016). Brain–Computer Interface Training after Stroke Affects Patterns of Brain–Behavior Relationships in Corticospinal Motor Fibers. Frontiers in Human Neuroscience. 10. 457–457. 25 indexed citations

10.

Remsik, Alexander, Brittany M. Young, Jessica R. Abrams, et al.. (2016). A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke. Expert Review of Medical Devices. 13(5). 445–454. 92 indexed citations

11.

Young, Brittany M., Zack Nigogosyan, Léo M. Walton, et al.. (2015). Dose-response relationships using brain–computer interface technology impact stroke rehabilitation. Frontiers in Human Neuroscience. 9. 361–361. 33 indexed citations

12.

Song, Jie, Veena A. Nair, Brittany M. Young, et al.. (2015). DTI measures track and predict motor function outcomes in stroke rehabilitation utilizing BCI technology. Frontiers in Human Neuroscience. 9. 195–195. 65 indexed citations

13.

Young, Brittany M., Zack Nigogosyan, Alexander Remsik, et al.. (2014). Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device. PubMed. 7. 25–25. 60 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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