James Sulzer

4.2k total citations · 1 hit paper
67 papers, 2.4k citations indexed

About

James Sulzer is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, James Sulzer has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 28 papers in Cognitive Neuroscience and 20 papers in Rehabilitation. Recurrent topics in James Sulzer's work include Muscle activation and electromyography studies (28 papers), Stroke Rehabilitation and Recovery (20 papers) and Prosthetics and Rehabilitation Robotics (15 papers). James Sulzer is often cited by papers focused on Muscle activation and electromyography studies (28 papers), Stroke Rehabilitation and Recovery (20 papers) and Prosthetics and Rehabilitation Robotics (15 papers). James Sulzer collaborates with scholars based in United States, Switzerland and Germany. James Sulzer's co-authors include Maria Laura Blefari, Niels Birbaumer, Ranganatha Sitaram, Sven Haller, Jarrod A. Lewis‐Peacock, Frank Scharnowski, Ethan Oblak, Nikolaus Weiskopf, Roger Gassert and Michael A. Peshkin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

James Sulzer

62 papers receiving 2.3k citations

Hit Papers

Closed-loop brain training: the science of neurofeedback 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Sulzer United States 22 1.5k 597 358 306 238 67 2.4k
Elizabeth A. Franz New Zealand 29 1.6k 1.1× 293 0.5× 207 0.6× 158 0.5× 78 0.3× 92 2.4k
Markus Nowak Germany 19 1.1k 0.7× 452 0.8× 84 0.2× 230 0.8× 196 0.8× 38 1.9k
Adrian G. Guggisberg Switzerland 36 2.6k 1.7× 422 0.7× 591 1.7× 260 0.8× 129 0.5× 87 3.7k
Warren G. Darling United States 32 1.4k 0.9× 966 1.6× 246 0.7× 269 0.9× 110 0.5× 99 2.9k
Ina M. Tarkka Finland 31 1.4k 0.9× 703 1.2× 930 2.6× 624 2.0× 90 0.4× 108 3.4k
Lewis A. Wheaton United States 23 2.1k 1.4× 325 0.5× 148 0.4× 171 0.6× 52 0.2× 58 2.6k
Manuel Dafotakis Germany 24 1.7k 1.1× 440 0.7× 601 1.7× 370 1.2× 70 0.3× 82 3.0k
Deborah J. Serrien United Kingdom 34 3.0k 2.0× 943 1.6× 222 0.6× 391 1.3× 50 0.2× 86 3.8k
Tamar R. Makin United Kingdom 31 2.1k 1.4× 580 1.0× 295 0.8× 230 0.8× 37 0.2× 74 3.4k
Denis Brunet Switzerland 20 2.6k 1.7× 111 0.2× 260 0.7× 473 1.5× 159 0.7× 42 3.7k

Countries citing papers authored by James Sulzer

Since Specialization
Citations

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

Fields of papers citing papers by James Sulzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Sulzer

This figure shows the co-authorship network connecting the top 25 collaborators of James Sulzer. A scholar is included among the top collaborators of James Sulzer 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 James Sulzer. James Sulzer 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.
Tashev, Ivan, et al.. (2024). Evaluating the Feasibility of Visual Imagery for an EEG-Based Brain–Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2209–2219. 7 indexed citations
2.
Hilsabeck, Robin C., et al.. (2022). The Effect of Biomechanical Features on Classification of Dual-Task Gait. IEEE Sensors Journal. 23(3). 3079–3089. 5 indexed citations
3.
Hellrung, Lydia, Matthias Kirschner, James Sulzer, et al.. (2022). Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrain. Communications Biology. 5(1). 845–845. 9 indexed citations
4.
Oblak, Ethan, Jarrod A. Lewis‐Peacock, & James Sulzer. (2021). Differential neural plasticity of individual fingers revealed by fMRI neurofeedback. Journal of Neurophysiology. 125(5). 1720–1734. 5 indexed citations
5.
Lee, Jeonghwan, et al.. (2021). Kinematic comparison of single degree-of-freedom robotic gait trainers. Mechanism and Machine Theory. 159. 104258–104258. 13 indexed citations
6.
Lorenc, Elizabeth S., Hanlin Zhu, James Sulzer, et al.. (2021). Multi-scale neural decoding and analysis. Journal of Neural Engineering. 18(4). 45013–45013. 21 indexed citations
7.
Oblak, Ethan, et al.. (2021). Towards a common template for neural reinforcement of finger individuation. Scientific Reports. 11(1). 1065–1065. 7 indexed citations
8.
Shin, Sung Yul, et al.. (2020). Does kinematic gait quality improve with functional gait recovery? A longitudinal pilot study on early post-stroke individuals. Journal of Biomechanics. 105. 109761–109761. 30 indexed citations
9.
Sitaram, Ranganatha, Tomas Ros, Luke E. Stoeckel, et al.. (2019). Author Correction: Closed-loop brain training: the science of neurofeedback. Nature reviews. Neuroscience. 20(5). 314–314. 4 indexed citations
10.
Sulzer, James, et al.. (2019). Musculoskeletal simulation framework for impairment-based exoskeletal assistance post-stroke. PubMed. 2019. 1185–1190. 5 indexed citations
11.
Sulzer, James, Philipp Stämpfli, Marie‐Claude Hepp‐Reymond, et al.. (2018). BOLD signal in sensorimotor regions reveals differential encoding of passive forefinger velocity and displacement amplitude. NeuroImage. 173. 332–340. 9 indexed citations
12.
Kirschner, Matthias, Ronald Sladky, Amelie Haugg, et al.. (2018). Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback. EBioMedicine. 37. 489–498. 34 indexed citations
13.
Oblak, Ethan, Jarrod A. Lewis‐Peacock, & James Sulzer. (2017). Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment. PLoS Computational Biology. 13(7). e1005681–e1005681. 39 indexed citations
14.
Sitaram, Ranganatha, Tomas Ros, Luke E. Stoeckel, et al.. (2016). Closed-loop brain training: the science of neurofeedback. Nature reviews. Neuroscience. 18(2). 86–100. 761 indexed citations breakdown →
15.
Blefari, Maria Laura, James Sulzer, Marie‐Claude Hepp‐Reymond, Spyros Kollias, & Roger Gassert. (2015). Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery. Frontiers in Behavioral Neuroscience. 9. 18–18. 56 indexed citations
16.
Sulzer, James, Sven Haller, Frank Scharnowski, et al.. (2013). Real-time fMRI neurofeedback: Progress and challenges. NeuroImage. 76. 386–399. 338 indexed citations
17.
Sulzer, James, Ranganatha Sitaram, Maria Laura Blefari, et al.. (2013). Neurofeedback-mediated self-regulation of the dopaminergic midbrain. NeuroImage. 83. 817–825. 95 indexed citations
18.
Sulzer, James, et al.. (2009). A Highly Backdrivable, Lightweight Knee Actuator for Investigating Gait in Stroke. IEEE Transactions on Robotics. 25(3). 539–548. 103 indexed citations
19.
Sulzer, James, Michael A. Peshkin, & James L. Patton. (2007). Design of a Mobile, Inexpensive Device for Upper Extremity Rehabilitation at Home. 933–937. 29 indexed citations
20.
Giedion, A, et al.. (1982). Oto-spondylo-megaepiphyseal dysplasia (OSMED).. PubMed. 37(4). 361–80. 32 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