Silvan Mertes

447 citations
26 papers · 183 indexed · h-index 8

Impact in

Papers in

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
Silvan Mertes relative to Changzeng Fu Japan Changzeng Fu's profile →
Citations per field
00.5×4.3×
Changzeng Fu · 1×
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-authorship network

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
#Work
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12 20221
13 202249
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15 20213
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17 202117
18 20208
19 202013
20 201916

About Silvan Mertes

Silvan Mertes is a scholar working on Human-Computer Interaction, Signal Processing, Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, 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), Speech and dialogue systems (3 papers), Speech and Audio Processing (3 papers) and Generative Adversarial Networks and Image Synthesis (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, Andreas Triantafyllopoulos, Andreas Seiderer, Ruibo Fu and Panagiotis Tzirakis. 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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