Maurice Gerczuk
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Björn W. SchullerShahin AmiriparianSandra OttlNicholas CumminsSergey PugachevskiyAlice BairdMichael FreitagAnton Batliner
- Topics
- Music and Audio Processing (15 papers)Emotion and Mood Recognition (13 papers)Speech and Audio Processing (9 papers)
- Journals
- Behaviour Research and TherapyDepression and AnxietyIEEE Transactions on Affective Computing
- Partner nations
- GermanyUnited KingdomSingapore
In The Last Decade
Maurice Gerczuk
39 papers receiving 617 citations
Peers
Comparison fields: 5 of 88
- Signal Processing 260
- Artificial Intelligence 259
- Experimental and Cognitive Psychology 246
- Social Psychology 101
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Maurice Gerczuk
This map shows the geographic impact of Maurice Gerczuk'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 Maurice Gerczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Gerczuk more than expected).
Fields of papers citing papers by Maurice Gerczuk
This network shows the impact of papers produced by Maurice Gerczuk. 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 Maurice Gerczuk. The network helps show where Maurice Gerczuk may publish in the future.
Co-authorship network of co-authors of Maurice Gerczuk
This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Gerczuk. A scholar is included among the top collaborators of Maurice Gerczuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maurice Gerczuk. Maurice Gerczuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 27 | |
| 14 | 21 | |
| 15 | 39 | |
| 16 | 13 | |
| 17 | Emotion and themes recognition in music utilising convolutional and recurrent neural networks | 4 |
| 18 | 21 | |
| 19 | 27 | |
| 20 | 206 |
About Maurice Gerczuk
Maurice Gerczuk is a scholar working on Signal Processing, Experimental and Cognitive Psychology and General Social Sciences, having authored 40 papers that have together received 641 indexed citations. Recurring topics across this work include Music and Audio Processing (15 papers), Emotion and Mood Recognition (13 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (260 citations), Experimental and Cognitive Psychology (246 citations) and Artificial Intelligence (259 citations). Maurice Gerczuk has collaborated with scholars based in Germany, United Kingdom and Singapore. Frequent co-authors include Björn W. Schuller, Shahin Amiriparian, Sandra Ottl, Nicholas Cummins, Sergey Pugachevskiy, Alice Baird, Michael Freitag, Anton Batliner, Andreas Triantafyllopoulos and Maximilian Schmitt. Their work appears in journals such as Behaviour Research and Therapy, Depression and Anxiety and IEEE Transactions on Affective Computing.
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.