Hans Dietl

1.8k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Hans Dietl is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Hans Dietl has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Hans Dietl's work include Muscle activation and electromyography studies (13 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hans Dietl is often cited by papers focused on Muscle activation and electromyography studies (13 papers), Neuroscience and Neural Engineering (7 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hans Dietl collaborates with scholars based in Germany, Austria and Switzerland. Hans Dietl's co-authors include Dario Farina, Oskar C. Aszmann, Bernhard Graimann, Hubertus Rehbaum, Ning Jiang, Aleš Holobar, Michael Russold, Strahinja Došen, A. Philippu and Silvia Muceli and has published in prestigious journals such as Brain Research, Plastic & Reconstructive Surgery and European Journal of Pharmacology.

In The Last Decade

Hans Dietl

20 papers receiving 1.3k citations

Hit Papers

The Extraction of Neural Information from the Surface EMG... 2014 2026 2018 2022 2014 200 400 600
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. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
    2014 706 citations Dario Farina, Ning Jiang et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →

Peers

Hans Dietl
Guilherme B. Saturnino Denmark
Francesco Clemente Italy
Dong‐Pyo Jang South Korea
Tyler S. Davis United States
Winnie Jensen Denmark
A. Bolu Ajiboye United States
Christian Antfolk Sweden
F. Zanow Germany
Dennis Tkach United States
Thomas Brochier France
Guilherme B. Saturnino Denmark
Hans Dietl
Citations per year, relative to Hans Dietl Hans Dietl (= 1×) peers Guilherme B. Saturnino

Countries citing papers authored by Hans Dietl

Since Specialization
Citations

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

Fields of papers citing papers by Hans Dietl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Dietl

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Dietl. A scholar is included among the top collaborators of Hans Dietl 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 Hans Dietl. Hans Dietl 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.
Farina, Dario, Ivan Vujaklija, Rickard Brånemark, et al.. (2021). Toward higher-performance bionic limbs for wider clinical use. Nature Biomedical Engineering. 7(4). 473–485. 165 indexed citations
2.
Russold, Michael, et al.. (2020). Activities With a Microprocessor-Controlled Leg Brace for Patients With Lower Limb Paralysis: A Series of Case Studies. IEEE Transactions on Medical Robotics and Bionics. 3(1). 137–145. 2 indexed citations
3.
Russold, Michael, et al.. (2019). Patient Motion Using a Computerized Leg Brace in Everyday Locomotion Tasks. IEEE Transactions on Medical Robotics and Bionics. 1(2). 106–114. 10 indexed citations
4.
Riener, Robert, et al.. (2019). Energy Recuperation at the Hip Joint for Paraplegic Walking: Interaction Between Patient and Supportive Device. PubMed. 2019. 938–943. 1 indexed citations
5.
Bergmeister, Konstantin D., Martina Schiestl, Krisztina Manzano-Szalai, et al.. (2015). Prosthesis Control with an Implantable Multichannel Wireless Electromyography System for High-Level Amputees. Plastic & Reconstructive Surgery. 137(1). 153–162. 15 indexed citations
6.
Morel, Pierre, Enrico Ferrea, Klaus‐Peter Hoffmann, et al.. (2015). Long-term decoding of movement force and direction with a wireless myoelectric implant. Journal of Neural Engineering. 13(1). 16002–16002. 26 indexed citations
7.
Došen, Strahinja, et al.. (2015). A Novel Method to Generate Amplitude-Frequency Modulated Vibrotactile Stimulation. IEEE Transactions on Haptics. 9(1). 3–12. 15 indexed citations
8.
Došen, Strahinja, et al.. (2014). Closed-Loop Control of Grasping With a Myoelectric Hand Prosthesis: Which Are the Relevant Feedback Variables for Force Control?. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(5). 1041–1052. 94 indexed citations
9.
Farina, Dario, Ning Jiang, Hubertus Rehbaum, et al.. (2014). The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(4). 797–809. 706 indexed citations breakdown →
10.
Russold, Michael, Hans Dietl, Klaus‐Peter Hoffmann, et al.. (2013). Fully Implantable Multi-Channel Measurement System for Acquisition of Muscle Activity. IEEE Transactions on Instrumentation and Measurement. 62(7). 1972–1981. 44 indexed citations
11.
Russold, Michael, et al.. (2012). User demands for sensory feedback in upper extremity prostheses. 1–4. 48 indexed citations
12.
Russold, Michael, Hans Dietl, Klaus‐Peter Hoffmann, et al.. (2012). Acquisition of muscle activity with a fully implantable multi-channel measurement system. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 34. 996–999. 2 indexed citations
13.
Dietl, Hans. (2008). PROSTHESES CONTROL BASED ON TMR a case study. 1 indexed citations
14.
Dietl, Hans. (2000). Mechatronic Integration in Exoprosthetics. IFAC Proceedings Volumes. 33(26). 537–541.
15.
Dietl, Hans. (1986). In vivo release of corticosterone in discrete brain areas of rats. A push-pull perfusion study. Brain Research. 369(1-2). 373–376. 2 indexed citations
16.
Řehák, P., A. Longoni, J. Kemmer, et al.. (1986). Progress in semiconductor drift detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 248(2-3). 367–378. 75 indexed citations
17.
18.
Tuomisto, Leena, et al.. (1983). In vivo release of endogenous catecholamines, histamine and GABA in the hypothalamus of Wistar Kyoto and spontaneously hypertensive rats. Naunyn-Schmiedeberg s Archives of Pharmacology. 323(3). 183–187. 33 indexed citations
19.
Philippu, A., et al.. (1982). Involvement of catecholamine systems in the central effects of histamine on blood pressure. Open Repository and Bibliography (University of Luxembourg). 3 indexed citations
20.
Philippu, A., et al.. (1981). Hypotension alters the release of catecholamines in the hypothalamus of the conscious rabbit. European Journal of Pharmacology. 69(4). 519–523. 30 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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