H.‐G. Purwins

6.3k citations
171 papers · 4.7k indexed · 1 hit paper · h-index 36

H.‐G. Purwins

169 papers receiving 4.4k citations

Hit Papers

Deep Learning for Audio Signal Processing4752019202620212023100200300400

Peers

H.‐G. Purwins
Comparison fields: 5 of 147
  • Condensed Matter Physics 963
  • Statistical and Nonlinear Physics 971
  • Computer Networks and Communications 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Signal Processing 404
Replace J. Leo van Hemmen with:
J. Leo van Hemmen Germany
T. Geisel Germany
Elisha Moses Israel
Carver Mead United States
Richard F. Voss United States
Alexander V. Panfilov Belgium
Diederik S. Wiersma Italy
S. Yoshizawa Japan
Yoshiki Kuramoto Japan
Sylvain Gigan France
H.‐G. Purwins relative to J. Leo van Hemmen Germany J. Leo van Hemmen's profile →
Citations per field
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J. Leo van Hemmen · 1×
Citations per year

Countries citing papers authored by H.‐G. Purwins

Since Specialization
Citations

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

Fields of papers citing papers by H.‐G. Purwins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.‐G. Purwins. 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 H.‐G. Purwins. The network helps show where H.‐G. Purwins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside H.‐G. Purwins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H.‐G. Purwins Line = papers co-authored together H.‐G. Purwins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Mobile Music Museum Experience for Children
20152
2 201444
3
Modeling the acquisition of statistical regularities in tone sequences
20081
4
EXPECTATION ALONG THE BEAT: A USE CASE FOR MUSIC EXPECTATION MODELS
20075
5 200629
6 2006148
7 200517
8
Scale Degree Profiles from Audio Investigated with Machine Learning
20044
9 200458
10 200430
11 200344
12 2003130
13 200211
14
Constant Q Profiles for Tracking Modulations in Audio Data Format
20011
15
Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones
20011
16
LOCALIZED PATTERNS IN PLANAR GAS-DISCHARGE SYSTEMS (Interfaces, Pulses and Waves in Nonlinear Dissipative Systems : RIMS Project 2000 "Reaction-diffusion systems : theory and applications")
20011
17 200147
18 199988
19 199665
20 197317

About H.‐G. Purwins

H.‐G. Purwins is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Signal Processing, having authored 171 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (65 papers), Rare-earth and actinide compounds (35 papers), Music and Audio Processing (31 papers), stochastic dynamics and bifurcation (24 papers), Plasma Applications and Diagnostics (20 papers), Music Technology and Sound Studies (18 papers), Theoretical and Computational Physics (16 papers) and Chemical and Physical Studies (14 papers). The work is most often cited by research in Condensed Matter Physics (963 citations), Statistical and Nonlinear Physics (971 citations) and Computer Networks and Communications (1.7k citations). H.‐G. Purwins has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include E. Ammelt, Yu. A. Astrov, Shalva Amiranashvili, Mathias Bode, F.‐J. Niedernostheide, L Stollenwerk, Jean-Pierre Bœuf, Christina Schenk, H. U. Bödeker and H. Willebrand.

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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