Robert Aichner

1.7k citations
44 papers · 1.2k · h-index 19

Impact in

Papers in

Robert Aichner

44 papers receiving 1.1k citations

Peers

Robert Aichner
Comparison fields: 5 of 50
  • Signal Processing 1.1k
  • Computational Mechanics 707
  • Analytical Chemistry 79
  • Artificial Intelligence 254
  • Cognitive Neuroscience 123
Replace Herbert Buchner with:
Herbert Buchner Germany
Daichi Kitamura Japan
Tsuyoki Nishikawa Japan
Francesco Nesta Italy
Yu Takahashi Japan
Aditya Arie Nugraha Japan
Kostas Kokkinakis United States
Ngoc Q. K. Duong France
Maria G. Jafari United Kingdom
Masahito Togami Japan
Robert Aichner relative to Herbert Buchner Germany Herbert Buchner's profile →
Citations per field
00.5×5×11×
Herbert Buchner · 1×
Citations per year

Countries citing papers authored by Robert Aichner

Since Specialization
Citations

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

Fields of papers citing papers by Robert Aichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Aichner, 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 Robert Aichner Line = papers co-authored together Robert Aichner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004181
2 2022120
3 200488
4 200482
5 200560
6 202252
7 202442
8 200642
9 200340
10 200739
11 202138
12 202231
13
BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES EXPLOITING NONGAUSSIANITY, NONWHITENESS, AND NONSTATIONARITY
200327
14 202127
15
Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band
200327
16
A GENERALIZATION OF A CLASS OF BLIND SOURCE SEPARATION ALGORITHMS FOR CONVOLUTIVE MIXTURES
200326
17
ON-LINE TIME-DOMAIN BLIND SOURCE SEPARATION OF NONSTATIONARY CONVOLVED SIGNALS
200324
18 202021
19 200721
20 200617

About Robert Aichner

Robert Aichner is a scholar working on Signal Processing, Computational Mechanics, Analytical Chemistry, Artificial Intelligence and Cognitive Neuroscience, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Blind Source Separation Techniques (27 papers), Advanced Adaptive Filtering Techniques (25 papers), Music and Audio Processing (7 papers), Speech Recognition and Synthesis (5 papers), Acoustic Wave Phenomena Research (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computational Mechanics (707 citations), Analytical Chemistry (79 citations), Artificial Intelligence (254 citations) and Cognitive Neuroscience (123 citations). Robert Aichner has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Herbert Buchner, Walter Kellermann, Ross Cutler, Sebastian Braun, Hannes Gamper, Shoko Araki, Shoji Makino, Fei Yan, Vishak Gopal and Harishchandra Dubey. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Signal Processing, IEEE Transactions on Speech and Audio Processing, IEEE Signal Processing Letters and IEEE Open Journal of Signal Processing.

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.

Explore authors with similar magnitude of impact