Lukas Jaeger

438 total citations
10 papers, 295 citations indexed

About

Lukas Jaeger is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Lukas Jaeger has authored 10 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Cognitive Neuroscience and 4 papers in Rehabilitation. Recurrent topics in Lukas Jaeger's work include Muscle activation and electromyography studies (7 papers), Motor Control and Adaptation (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Lukas Jaeger is often cited by papers focused on Muscle activation and electromyography studies (7 papers), Motor Control and Adaptation (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Lukas Jaeger collaborates with scholars based in Switzerland, Spain and United States. Lukas Jaeger's co-authors include Robert Riener, Laura Marchal–Crespo, Heidi Vander Velden, Lars Michels, Jürgen Konczak, Peter Wolf, Spyros Kollias, Heike Vallery, Georg Rauter and Andreas R. Luft and has published in prestigious journals such as Frontiers in Neuroscience, Frontiers in Human Neuroscience and Journal of NeuroEngineering and Rehabilitation.

In The Last Decade

Lukas Jaeger

10 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Jaeger Switzerland	9	185	138	97	49	35	10	295
Tomoko Aoki Japan	12	369 2.0×	192 1.4×	102 1.1×	68 1.4×	23 0.7×	18	456
Craig D. Takahashi United States	6	159 0.9×	129 0.9×	146 1.5×	23 0.5×	59 1.7×	8	269
Matthew A. Statton United States	8	181 1.0×	138 1.0×	51 0.5×	30 0.6×	49 1.4×	11	315
Leigh A. Mrotek United States	12	300 1.6×	80 0.6×	27 0.3×	52 1.1×	34 1.0×	25	393
Cynthia Yukiko Hiraga Brazil	8	129 0.7×	79 0.6×	143 1.5×	36 0.7×	58 1.7×	19	321
Leah R. Enders United States	10	169 0.9×	112 0.8×	113 1.2×	16 0.3×	40 1.1×	16	302
József Laczkó Hungary	8	282 1.5×	225 1.6×	51 0.5×	79 1.6×	30 0.9×	27	372
Zorica Suica Switzerland	9	83 0.4×	45 0.3×	98 1.0×	28 0.6×	58 1.7×	14	293
Tarkeshwar Singh United States	15	323 1.7×	251 1.8×	44 0.5×	90 1.8×	40 1.1×	49	568
Shintaro Uehara Japan	10	235 1.3×	123 0.9×	69 0.7×	51 1.0×	29 0.8×	41	386

Countries citing papers authored by Lukas Jaeger

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Jaeger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Jaeger

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

All Works

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10 of 10 papers shown

Jaeger, Lukas, Shuro Nakajima, Cristina Piazza, et al.. (2023). How the CYBATHLON Competition Has Advanced Assistive Technologies. Research Padua Archive (University of Padua). 6(1). 447–476. 12 indexed citations

Marchal–Crespo, Laura, et al.. (2017). Effect of Error Augmentation on Brain Activation and Motor Learning of a Complex Locomotor Task. Frontiers in Neuroscience. 11. 526–526. 42 indexed citations

Jaeger, Lukas, Laura Marchal–Crespo, Peter Wolf, et al.. (2015). On the Modulation of Brain Activation During Simulated Weight Bearing in Supine Gait-Like Stepping. Brain Topography. 29(1). 193–205. 12 indexed citations

Jaeger, Lukas, Laura Marchal–Crespo, Peter Wolf, et al.. (2015). Test-retest reliability of fMRI experiments during robot-assisted active and passive stepping. Journal of NeuroEngineering and Rehabilitation. 12(1). 102–102. 14 indexed citations

Marchal–Crespo, Laura, Peter Wolf, Georg Rauter, et al.. (2015). The role of skill level and motor task characteristics on the effectiveness of robotic training: first results. 150. 151–156. 20 indexed citations

Jaeger, Lukas, Laura Marchal–Crespo, Peter Wolf, et al.. (2014). Brain activation associated with active and passive lower limb stepping. Frontiers in Human Neuroscience. 8. 828–828. 58 indexed citations

Marchal–Crespo, Laura, et al.. (2014). Optimizing learning of a locomotor task: Amplifying errors as needed. PubMed. 2014. 5304–5307. 23 indexed citations

Marchal–Crespo, Laura, et al.. (2014). Learning a locomotor task: with or without errors?. Journal of NeuroEngineering and Rehabilitation. 11(1). 25–25. 40 indexed citations

Vallery, Heike, et al.. (2013). Non-linear adaptive controllers for an over-actuated pneumatic MR-compatible stepper. Medical & Biological Engineering & Computing. 51(7). 799–809. 8 indexed citations

10.

Konczak, Jürgen, Heidi Vander Velden, & Lukas Jaeger. (2009). Learning to Play the Violin: Motor Control by Freezing, Not Freeing Degrees of Freedom. Journal of Motor Behavior. 41(3). 243–252. 66 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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