Simone Hantke

870 citations
33 papers · 620 · h-index 16

Impact in

Papers in

    • Music and Audio Processing 14
    • Speech and Audio Processing 9
    • Speech Recognition and Synthesis 7
    • Speech and dialogue systems 4
    • Natural Language Processing Techniques 4

Simone Hantke

33 papers receiving 586 citations

Peers

Simone Hantke
Comparison fields: 5 of 81
  • Signal Processing 272
  • Experimental and Cognitive Psychology 186
  • Developmental Biology 20
  • Pharmacy 35
  • Artificial Intelligence 275
Replace Mireia Farrús with:
Mireia Farrús Spain
Maurice Gerczuk Germany
Lukas Stappen Germany
Hugues Salamin United Kingdom
Andreas Tsiartas United States
Hosung Nam United States
Anna Polychroniou United States
Brandon Roy United States
Ingo Siegert Germany
Véronique Aubergé France
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Citations per field
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Citations per year

Countries citing papers authored by Simone Hantke

Since Specialization
Citations

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

Fields of papers citing papers by Simone Hantke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Hantke, 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 Simone Hantke Line = papers co-authored together Simone Hantke 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 201587
2 201867
3 201545
4 201940
5 202033
6 201631
7 201228
8 201826
9 201826
10 201825
11 201724
12 202023
13 202121
14 202019
15 201718
16 201616
17 201714
18 201810
19 201710
20 20189

About Simone Hantke

Simone Hantke is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Science Applications, having authored 33 papers that have together received 620 indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Speech and Audio Processing (9 papers), Emotion and Mood Recognition (8 papers), Speech Recognition and Synthesis (7 papers), Multisensory perception and integration (5 papers), Speech and dialogue systems (4 papers), Natural Language Processing Techniques (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Signal Processing (272 citations), Experimental and Cognitive Psychology (186 citations), Developmental Biology (20 citations), Pharmacy (35 citations) and Artificial Intelligence (275 citations). Simone Hantke has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Björn W. Schuller, Anton Batliner, Nicholas Cummins, Alice Baird, Felix Weninger, Maximilian Schmitt, Shahin Amiriparian, Tobias Appel, Emilia Parada‐Cabaleiro and Stefan Steidl. Their work appears in journals such as Language Resources and Evaluation, IEEE Transactions on Affective Computing, Pattern Recognition, IEEE Access and Journal of the Audio Engineering Society.

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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