Silvan Mertes

23 papers receiving 177 citations

Peers

Silvan Mertes
Comparison fields: 5 of 61
  • Health Informatics 17
  • Human-Computer Interaction 27
  • Signal Processing 29
  • Artificial Intelligence 77
  • Computer Vision and Pattern Recognition 45
Replace Changzeng Fu with:
Changzeng Fu Japan
Erik Strahl Germany
David Suendermann‐Oeft United States
Valerio Biscione United Kingdom
Cristian Canton Ferrer United States
Alexandros Papangelis United States
Tasha Nagamine United States
Anderson R. Avila Canada
Jette Viethen Australia
Zeyad A. T. Ahmed India
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Citations per field
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Citations per year

Countries citing papers authored by Silvan Mertes

Since Specialization
Citations

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

Fields of papers citing papers by Silvan Mertes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202249
2 202334
3 202117
4 201916
5 202013
6 20248
7 20208
8 20228
9 20254
10 20214
11 20224
12 20213
13 20213
14 20242
15 20212
16 20231
17 20231
18 20241
19 20221
20 20231

About Silvan Mertes

Silvan Mertes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Social Psychology and Human-Computer Interaction, having authored 26 papers that have together received 183 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Music Technology and Sound Studies (5 papers), Speech Recognition and Synthesis (5 papers), Virtual Reality Applications and Impacts (4 papers), Social Robot Interaction and HRI (4 papers), Cell Image Analysis Techniques (3 papers), Speech and dialogue systems (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Health Informatics (17 citations), Human-Computer Interaction (27 citations), Signal Processing (29 citations), Artificial Intelligence (77 citations) and Computer Vision and Pattern Recognition (45 citations). Silvan Mertes has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Elisabeth André, Tobias Huber, Katharina Weitz, Björn W. Schuller, Hannes Ritschel, Dominik Schiller, Jianhua Tao, Panagiotis Tzirakis, Tevfik Metin Sezgin and Alice Baird. Their work appears in journals such as European Journal of Human Genetics, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Affective Computing, Proceedings of the IEEE and Frontiers in Artificial Intelligence.

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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