Robert Aichner

1.6k citations
33 papers · 852 · h-index 17

Impact in

Papers in

Robert Aichner

33 papers receiving 789 citations

Peers

Robert Aichner
Comparison fields: 5 of 49
  • Signal Processing 763
  • Computational Mechanics 483
  • Artificial Intelligence 214
  • Analytical Chemistry 53
  • Cognitive Neuroscience 79
Replace Yu Takahashi with:
Yu Takahashi Japan
Tsuyoki Nishikawa Japan
Aditya Arie Nugraha Japan
Francesco Nesta Italy
Herbert Buchner Germany
Ngoc Q. K. Duong France
Kostas Kokkinakis United States
Masahito Togami Japan
Maria G. Jafari United Kingdom
Derry Fitzgerald Ireland
Robert Aichner relative to Yu Takahashi Japan Yu Takahashi's profile →
Citations per field
00.5×6.6×
Yu Takahashi · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 2022110
3 200480
4 200552
5 202249
6 202438
7 200636
8 202136
9 200332
10 202230
11 202123
12
Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band
200323
13 200720
14
A GENERALIZATION OF A CLASS OF BLIND SOURCE SEPARATION ALGORITHMS FOR CONVOLUTIVE MIXTURES
200320
15
BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES EXPLOITING NONGAUSSIANITY, NONWHITENESS, AND NONSTATIONARITY
200318
16 200317
17 200616
18 200613
19 202412
20
POST-PROCESSING FOR BSS ALGORITHMS TO RECOVER SPATIAL CUES
200610

About Robert Aichner

Robert Aichner is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Analytical Chemistry, having authored 33 papers that have together received 852 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), Acoustic Wave Phenomena Research (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (763 citations), Computational Mechanics (483 citations), Artificial Intelligence (214 citations), Analytical Chemistry (53 citations) and Cognitive Neuroscience (79 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, Vishak Gopal and Harishchandra Dubey. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Speech and Audio Processing, Signal Processing, Proceedings of the ACM on Human-Computer Interaction 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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