Robert Aichner

1.6k citations
33 papers · 822 indexed · h-index 17

Robert Aichner

33 papers receiving 760 citations

Peers

Robert Aichner
Comparison fields: 5 of 50
  • Signal Processing 744
  • Computational Mechanics 480
  • Artificial Intelligence 203
  • Analytical Chemistry 52
  • Cognitive Neuroscience 78
Replace Tsuyoki Nishikawa with:
Tsuyoki Nishikawa Japan
Yu Takahashi Japan
Francesco Nesta Italy
Herbert Buchner Germany
Aditya Arie Nugraha Japan
Ngoc Q. K. Duong France
Masahito Togami Japan
Kostas Kokkinakis United States
Te-Won Lee United States
Derry Fitzgerald Ireland
Robert Aichner relative to Tsuyoki Nishikawa Japan Tsuyoki Nishikawa's profile →
Citations per field
00.5×10×20×27×
Tsuyoki Nishikawa · 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-authorship network

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
#Work
1 20249
2 202428
3 20237
4 202229
5 20222
6 202119
7 202134
8 200616
9 200613
10 20068
11
Robustness of Acoustic Multiple-Source Localization in Adverse Environments
20062
12 20066
13 200551
14 20046
15
Multichannel Acoustic Signal Processing for Human/Machine Interfaces - Fundamental Problems and Recent Advances
20042
16 200317
17
BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES EXPLOITING NONGAUSSIANITY, NONWHITENESS, AND NONSTATIONARITY
200318
18
Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band
200323
19 200332
20
Blind Source Separation for Convolutive Mixtures of Speech using Subband processing
20023

About Robert Aichner

Robert Aichner is a scholar working on Signal Processing, Computational Mechanics, Analytical Chemistry, Communication and Media Technology, having authored 33 papers that have together received 822 indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Blind Source Separation Techniques (22 papers), Advanced Adaptive Filtering Techniques (20 papers), Music and Audio Processing (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Speech Recognition and Synthesis (2 papers) and Acoustic Wave Phenomena Research (2 papers). The work is most often cited by research in Signal Processing (744 citations), Computational Mechanics (480 citations), Artificial Intelligence (203 citations), Analytical Chemistry (52 citations) and Cognitive Neuroscience (78 citations). Robert Aichner has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Walter Kellermann, Herbert Buchner, Ross Cutler, Sebastian Braun, Hannes Gamper, Shoko Araki, Shoji Makino, Ando Saabas, Fei Yan and Tsuyoki Nishikawa. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Speech and Audio Processing, Signal 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.

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