Ronald Böck

678 citations
61 papers · 532 · h-index 13

Impact in

Papers in

Ronald Böck

58 papers receiving 506 citations

Peers

Ronald Böck
Comparison fields: 5 of 68
  • Experimental and Cognitive Psychology 328
  • Signal Processing 186
  • Human-Computer Interaction 45
  • Artificial Intelligence 239
  • Social Psychology 109
Replace Ingo Siegert with:
Ingo Siegert Germany
Soroosh Mariooryad United States
Sarkis Abrilian France
Anna Polychroniou United States
Najmeh Sadoughi United States
Cate Cox United Kingdom
Tim Polzehl Germany
Mariusz Szwoch Poland
Yelin Kim United States
Hugues Salamin United Kingdom
Ronald Böck relative to Ingo Siegert Germany Ingo Siegert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ronald Böck

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Böck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201150
3 201238
4 201132
5 201129
6 201026
7 201220
8 201418
9 201117
10 201816
11 201716
12 201216
13 201716
14 201312
15 201512
16 201411
17 201310
18 20129
19 20139
20 20128

About Ronald Böck

Ronald Böck is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Social Psychology and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 532 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (27 papers), Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (13 papers), Speech and dialogue systems (11 papers), Music and Audio Processing (8 papers), Multisensory perception and integration (6 papers), Social Robot Interaction and HRI (6 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (328 citations), Signal Processing (186 citations), Human-Computer Interaction (45 citations), Artificial Intelligence (239 citations) and Social Psychology (109 citations). Ronald Böck has collaborated with scholars based in Germany, Switzerland and Ireland. Frequent co-authors include Andreas Wendemuth, Ingo Siegert, Bogdan Vlasenko, Nick Campbell, Steffen Walter, Francesca Bonin, Harald C. Traue, Friedhelm Schwenker, Stefan Scherer and Martin Schels. Their work appears in journals such as Computer Speech & Language, Lecture notes in computer science, IEEE Signal Processing Magazine, Cognitive Computation and Neurocomputing.

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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