Peter U. Diehl

3.0k total citations · 2 hit papers
23 papers, 2.0k citations indexed

About

Peter U. Diehl is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peter U. Diehl has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Biomedical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peter U. Diehl's work include Bone Tissue Engineering Materials (8 papers), Neural dynamics and brain function (5 papers) and Advanced Memory and Neural Computing (5 papers). Peter U. Diehl is often cited by papers focused on Bone Tissue Engineering Materials (8 papers), Neural dynamics and brain function (5 papers) and Advanced Memory and Neural Computing (5 papers). Peter U. Diehl collaborates with scholars based in Germany, Switzerland and United Kingdom. Peter U. Diehl's co-authors include Matthew Cook, Michael Pfeiffer, Daniel Neil, Shih‐Chii Liu, Jonathan Binas, Jacqueline Sheldrake, Roland Schaette, Wolfram Mittelmeier, Johannes Schauwecker and Manfred Schmitt and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Peter U. Diehl

23 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

2015 975 citations Peter U. Diehl, Matthew Cook Frontiers in Computational Neuroscience profile →
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

2015 639 citations Peter U. Diehl, Daniel Neil et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter U. Diehl Germany	14	1.6k	1.1k	556	455	135	23	2.0k
William Heetderks United States	12	554 0.4×	1.9k 1.6×	141 0.3×	1.2k 2.6×	367 2.7×	25	2.4k
S.L. BeMent United States	15	256 0.2×	722 0.6×	100 0.2×	852 1.9×	264 2.0×	34	1.3k
Florian Yger France	10	388 0.2×	1.6k 1.4×	171 0.3×	602 1.3×	202 1.5×	31	1.9k
Stephen I. Ryu United States	34	866 0.6×	3.4k 3.0×	187 0.3×	2.3k 5.2×	832 6.2×	72	3.8k
Shih‐Cheng Yen Singapore	23	229 0.1×	773 0.7×	73 0.1×	521 1.1×	649 4.8×	82	1.6k
Bryan Black United States	26	1.3k 0.8×	144 0.1×	53 0.1×	410 0.9×	284 2.1×	73	2.8k
Reza Fazel-Rezai United States	25	284 0.2×	1.3k 1.1×	161 0.3×	577 1.3×	495 3.7×	108	2.2k
Yao Chen China	17	214 0.1×	489 0.4×	52 0.1×	228 0.5×	72 0.5×	73	1.0k
D. Freeman United States	19	439 0.3×	302 0.3×	48 0.1×	444 1.0×	247 1.8×	46	1.2k
Weihua Pei China	28	727 0.5×	805 0.7×	79 0.1×	859 1.9×	675 5.0×	140	2.0k

Countries citing papers authored by Peter U. Diehl

Since Specialization

Citations

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

Fields of papers citing papers by Peter U. Diehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter U. Diehl. 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 Peter U. Diehl. The network helps show where Peter U. Diehl may publish in the future.

Co-authorship network of co-authors of Peter U. Diehl

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

All Works

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20 of 20 papers shown

Diehl, Peter U., et al.. (2023). Restoring speech intelligibility for hearing aid users with deep learning. Scientific Reports. 13(1). 2719–2719. 17 indexed citations

Diehl, Peter U., et al.. (2023). Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users. 1. 4 indexed citations

Diehl, Peter U., et al.. (2022). Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes. PLoS ONE. 17(11). e0278170–e0278170. 2 indexed citations

Niemeyer, Philipp, Wolfgang Zinser, Thilo John, et al.. (2020). Safety and efficacy of matrix-associated autologous chondrocyte implantation with spheroid technology is independent of spheroid dose after 4 years. Knee Surgery Sports Traumatology Arthroscopy. 28(4). 1130–1143. 27 indexed citations

Niemeyer, Philipp, Wolfgang Zinser, Christoph Becher, et al.. (2019). Clinical outcome and success rates of ACI for cartilage defects of the patella: a subgroup analysis from a controlled randomized clinical phase II trial (CODIS study). Archives of Orthopaedic and Trauma Surgery. 140(6). 717–725. 10 indexed citations

Diehl, Peter U., et al.. (2018). Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing. Frontiers in Computational Neuroscience. 12. 54–54. 1 indexed citations

Cook, Matthew, et al.. (2016). Structural Plasticity Denoises Responses and Improves Learning Speed. Frontiers in Computational Neuroscience. 10. 93–93. 19 indexed citations

Diehl, Peter U., et al.. (2015). Abnormal Auditory Gain in Hyperacusis: Investigation with a Computational Model. Frontiers in Neurology. 6. 157–157. 25 indexed citations

Sheldrake, Jacqueline, Peter U. Diehl, & Roland Schaette. (2015). Audiometric Characteristics of Hyperacusis Patients. Frontiers in Neurology. 6. 105–105. 99 indexed citations

10.

Diehl, Peter U., Daniel Neil, Jonathan Binas, et al.. (2015). Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. 1–8. 639 indexed citations breakdown →

11.

Diehl, Peter U. & Matthew Cook. (2015). Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Frontiers in Computational Neuroscience. 9. 99–99. 975 indexed citations breakdown →

12.

Diehl, Peter U., et al.. (2015). Modeling the interplay between structural plasticity and spike-timing-dependent plasticity. BMC Neuroscience. 16(S1). 4 indexed citations

13.

Akram, Sahar, Alain de Cheveigné, Peter U. Diehl, et al.. (2015). Telluride Decoding Toolbox. 1 indexed citations

14.

Diehl, Peter U. & Matthew Cook. (2014). Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware. 4288–4295. 26 indexed citations

15.

Diehl, Peter U., Johannes Schauwecker, Wolfram Mittelmeier, & Manfred Schmitt. (2009). High hydrostatic pressure, a novel approach in orthopedic surgical oncology to disinfect bone, tendons and cartilage.. PubMed. 28(6B). 3877–83. 32 indexed citations

16.

Diehl, Peter U., Johannes Schauwecker, E. Steinhäuser, et al.. (2006). Biomechanische Eigenschaften von Gelenkknorpel nach hydrostatischer Hochdruckbehandlung Biomechanical properties of articular cartilage after high hydrostatic pressure treatment. Biomedizinische Technik/Biomedical Engineering. 51(1). 8–14. 13 indexed citations

17.

Schauwecker, Johannes, et al.. (2006). Effect of extracorporeal high hydrostatic pressure on cellular outgrowth from tumor-afflicted bone.. PubMed. 26(1A). 85–9. 13 indexed citations

18.

Auernheimer, Jörg, Claudia Dahmen, Johannes Schauwecker, et al.. (2006). Growth promoting in vitro effect of synthetic cyclic RGD-peptides on human osteoblast-like cells attached to cancellous bone. International Journal of Molecular Medicine. 17(6). 1017–21. 11 indexed citations

19.

Auernheimer, Jörg, et al.. (2006). Growth promoting in vitro effect of synthetic cyclic RGD-peptides on human osteoblast-like cells attached to cancellous bone. Journal of Biomechanics. 39. S215–S215. 5 indexed citations

20.

Gollwitzer, Hans, Peter Thomas, Peter U. Diehl, et al.. (2005). Biomechanical and allergological characteristics of a biodegradable poly(D,L‐lactic acid) coating for orthopaedic implants. Journal of Orthopaedic Research®. 23(4). 802–809. 53 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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