Joseph Betthauser

803 total citations · 1 hit paper
14 papers, 603 citations indexed

About

Joseph Betthauser is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Joseph Betthauser has authored 14 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Biomedical Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Joseph Betthauser's work include Neuroscience and Neural Engineering (12 papers), Muscle activation and electromyography studies (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Joseph Betthauser is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Muscle activation and electromyography studies (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Joseph Betthauser collaborates with scholars based in United States, Singapore and Brazil. Joseph Betthauser's co-authors include Nitish V. Thakor, Rahul R. Kaliki, Luke E. Osborn, Christopher L. Hunt, Harrison Nguyen, Andrei Dragomir, Matthew R. Masters, Matthew S. Fifer, Edgar Lobatón and Robert J. Beaulieu and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Science Robotics and JPO Journal of Prosthetics and Orthotics.

In The Last Decade

Joseph Betthauser

13 papers receiving 591 citations

Hit Papers

Prosthesis with neuromorphic multilayered e-dermis percei... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain
    2018 314 citations Luke E. Osborn, Andrei Dragomir et al. Science Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Betthauser United States 10 467 393 276 100 65 14 603
Brock A. Wester United States 15 305 0.7× 567 1.4× 489 1.8× 140 1.4× 105 1.6× 46 902
I-Jan Wang Taiwan 6 285 0.6× 617 1.6× 319 1.2× 132 1.3× 131 2.0× 10 865
Rahul R. Kaliki United States 14 758 1.6× 583 1.5× 430 1.6× 114 1.1× 93 1.4× 32 905
Ralph Etienne-Cummings United States 11 466 1.0× 447 1.1× 366 1.3× 155 1.6× 50 0.8× 25 701
Amin Mahnam Iran 15 203 0.4× 227 0.6× 140 0.5× 111 1.1× 68 1.0× 37 492
Ali Moin United States 9 535 1.1× 307 0.8× 256 0.9× 332 3.3× 155 2.4× 13 910
George Alexandrov United States 6 450 1.0× 277 0.7× 245 0.9× 303 3.0× 135 2.1× 17 794
Luke E. Osborn United States 16 655 1.4× 593 1.5× 450 1.6× 157 1.6× 72 1.1× 46 950
Lucia Seminara Italy 16 600 1.3× 419 1.1× 72 0.3× 163 1.6× 81 1.2× 39 807

Countries citing papers authored by Joseph Betthauser

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Betthauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Betthauser

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Betthauser. A scholar is included among the top collaborators of Joseph Betthauser 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 Joseph Betthauser. Joseph Betthauser 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.
Hunt, Christopher L., et al.. (2023). Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses. IEEE Transactions on Biomedical Engineering. 70(10). 2980–2990.
2.
Betthauser, Joseph, et al.. (2019). Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement With Temporal Convolutional Networks. IEEE Transactions on Biomedical Engineering. 67(6). 1707–1717. 56 indexed citations
3.
Nguyen, Harrison, et al.. (2018). Unsupervised Learning and Adaptive Classification of Neuromorphic Tactile Encoding of Textures. 1–4. 13 indexed citations
4.
Nguyen, Harrison, et al.. (2018). Dynamic Texture Decoding Using a Neuromorphic Multilayer Tactile Sensor. 1–4. 17 indexed citations
5.
Osborn, Luke E., Andrei Dragomir, Joseph Betthauser, et al.. (2018). Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain. Science Robotics. 3(19). 314 indexed citations breakdown →
6.
Beaulieu, Robert J., Matthew R. Masters, Joseph Betthauser, et al.. (2017). Multi-Position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic Control. JPO Journal of Prosthetics and Orthotics. 29(2). 54–62. 26 indexed citations
7.
Betthauser, Joseph, Luke E. Osborn, Rahul R. Kaliki, & Nitish V. Thakor. (2017). Electrode-shift tolerant myoelectric movement-pattern classification using extreme learning for adaptive sparse representations. PubMed. 2017. 1–4. 4 indexed citations
8.
Osborn, Luke E., Matthew S. Fifer, Courtney Moran, et al.. (2017). Targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback. PubMed. 2017. 1–4. 28 indexed citations
9.
Osborn, Luke E., Joseph Betthauser, Rahul R. Kaliki, & Nitish V. Thakor. (2017). Live demonstration: Targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback. 1–1. 7 indexed citations
10.
Betthauser, Joseph, Christopher L. Hunt, Luke E. Osborn, et al.. (2017). Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning. IEEE Transactions on Biomedical Engineering. 65(4). 770–778. 80 indexed citations
11.
Betthauser, Joseph, Christopher L. Hunt, Luke E. Osborn, Rahul R. Kaliki, & Nitish V. Thakor. (2016). Limb-position robust classification of myoelectric signals for prosthesis control using sparse representations. PubMed Central. 6373–6376. 7 indexed citations
12.
Osborn, Luke E., Harrison Nguyen, Joseph Betthauser, Rahul R. Kaliki, & Nitish V. Thakor. (2016). Biologically inspired multi-layered synthetic skin for tactile feedback in prosthetic limbs. PubMed. 2016. 4622–4625. 15 indexed citations
13.
Betthauser, Joseph, et al.. (2014). Mapping of unknown environments using minimal sensing from a stochastic swarm. 3842–3849. 17 indexed citations
14.
Betthauser, Joseph, et al.. (2014). WolfBot: A distributed mobile sensing platform for research and education. 1–8. 19 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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