Matthias J. Sjerps
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Linguistics and Language top 5%
- Co-authors
- Eva ReinischJames M. McQueenHolger MittererEdward F. ChangAntje S. MeyerMatthew K. LeonardHans Rutger BoskerKeith Johnson
- Topics
- Phonetics and Phonology Research (18 papers)Neuroscience and Music Perception (13 papers)Hearing Loss and Rehabilitation (12 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Matthias J. Sjerps
31 papers receiving 728 citations
Peers
Comparison fields: 5 of 47
- Experimental and Cognitive Psychology 508
- Cognitive Neuroscience 479
- Signal Processing 172
- Artificial Intelligence 152
- Linguistics and Language 141
Countries citing papers authored by Matthias J. Sjerps
This map shows the geographic impact of Matthias J. Sjerps'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 Matthias J. Sjerps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias J. Sjerps more than expected).
Fields of papers citing papers by Matthias J. Sjerps
This network shows the impact of papers produced by Matthias J. Sjerps. 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 Matthias J. Sjerps. The network helps show where Matthias J. Sjerps may publish in the future.
Co-authorship network of co-authors of Matthias J. Sjerps
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias J. Sjerps. A scholar is included among the top collaborators of Matthias J. Sjerps 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 Matthias J. Sjerps. Matthias J. Sjerps is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 17 | |
| 6 | 40 | |
| 7 | 15 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 105 | |
| 11 | 48 | |
| 12 | 23 | |
| 13 | 55 | |
| 14 | 19 | |
| 15 | 20 | |
| 16 | 75 | |
| 17 | 14 | |
| 18 | 50 | |
| 19 | 33 | |
| 20 | 46 |
About Matthias J. Sjerps
Matthias J. Sjerps is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Linguistics and Language, having authored 31 papers that have together received 736 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (18 papers), Neuroscience and Music Perception (13 papers) and Hearing Loss and Rehabilitation (12 papers). The work is most often cited by research in Experimental and Cognitive Psychology (508 citations), Linguistics and Language (141 citations) and Cognitive Neuroscience (479 citations). Matthias J. Sjerps has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Eva Reinisch, James M. McQueen, Holger Mitterer, Edward F. Chang, Antje S. Meyer, Matthew K. Leonard, Hans Rutger Bosker, Keith Johnson, Maxime O. Baud and Gang Peng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.
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.