Gerald Enzner

1.6k citations
97 papers · 1.1k · h-index 19

Impact in

Papers in

Gerald Enzner

93 papers receiving 1.0k citations

Peers

Gerald Enzner
Comparison fields: 5 of 51
  • Signal Processing 909
  • Computational Mechanics 834
  • Cognitive Neuroscience 215
  • Biomedical Engineering 173
  • Computational Mathematics 2
Replace Henning Puder with:
Henning Puder Germany
Muhammad Tahir Akhtar Japan
Yutaka Kaneda Japan
Feiran Yang China
Yoshinobu Kajikawa Japan
Andy W. H. Khong Singapore
Akihiko Sugiyama Japan
Dongyuan Shi Singapore
John Mourjopoulos Greece
Sebastian Braun United States
Gerald Enzner relative to Henning Puder Germany Henning Puder's profile →
Citations per field
00.5×4.9×
Henning Puder · 1×
Citations per year

Countries citing papers authored by Gerald Enzner

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Enzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005138
2 201273
3 201443
4 201734
5 201733
6 201433
7 201131
8 201930
9 201129
10 200829
11 200927
12 200925
13 201024
14
Bayesian inference model for applications of time-varying acoustic system identification
201023
15 201723
16 200922
17 201920
18
NEAR END LISTENING ENHANCEMENT WITH STRICT LOUDSPEAKER OUTPUT POWER CONSTRAINING
200620
19 200218
20 201317

About Gerald Enzner

Gerald Enzner is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (80 papers), Advanced Adaptive Filtering Techniques (73 papers), Blind Source Separation Techniques (32 papers), Hearing Loss and Rehabilitation (19 papers), Acoustic Wave Phenomena Research (11 papers), Control Systems and Identification (6 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (909 citations), Computational Mechanics (834 citations), Cognitive Neuroscience (215 citations), Biomedical Engineering (173 citations) and Computational Mathematics (2 citations). Gerald Enzner has collaborated with scholars based in Germany, China and Canada. Frequent co-authors include Peter Vary, Rainer Martin, Feiran Yang, Jun Yang, Edwin Mabande, Fabian Kuech, Sarmad Majeed Malik, Aydin Sezgin, Hendrik Vogt and Dorothea Kolossa. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, European Transactions on Telecommunications and IEEE Signal Processing Magazine.

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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