Tuomas Eerola
- Cognitive Neuroscience top 0.5%
- Social Psychology top 0.5%
- Signal Processing top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Music top 0.02%
- Co-authors
- Jonna K. VuoskoskiPetri ToiviainenMarcel ZentnerImre LahdelmaOlivier LartillotHenna‐Riikka PeltolaPatrik N. JuslinDoris McIlwain
- Topics
- Neuroscience and Music Perception (121 papers)Music and Audio Processing (71 papers)Diverse Music Education Insights (38 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
Tuomas Eerola
139 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 4.0k
- Social Psychology 1.7k
- Signal Processing 1.6k
- Experimental and Cognitive Psychology 1.5k
- Music 1.3k
Countries citing papers authored by Tuomas Eerola
This map shows the geographic impact of Tuomas Eerola'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 Tuomas Eerola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuomas Eerola more than expected).
Fields of papers citing papers by Tuomas Eerola
This network shows the impact of papers produced by Tuomas Eerola. 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 Tuomas Eerola. The network helps show where Tuomas Eerola may publish in the future.
Co-authorship network of co-authors of Tuomas Eerola
This figure shows the co-authorship network connecting the top 25 collaborators of Tuomas Eerola. A scholar is included among the top collaborators of Tuomas Eerola 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 Tuomas Eerola. Tuomas Eerola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 14 | |
| 14 | 40 | |
| 15 | 85 | |
| 16 | 16 | |
| 17 | 116 | |
| 18 | 0 | |
| 19 | 318 | |
| 20 | The dynamics of musical expectancy : cross-cultural and statistical approaches to melodic expectations | 16 |
About Tuomas Eerola
Tuomas Eerola is a scholar working on Music, Signal Processing and Cognitive Neuroscience, having authored 153 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (121 papers), Music and Audio Processing (71 papers) and Diverse Music Education Insights (38 papers). The work is most often cited by research in Music (1.3k citations), Cognitive Neuroscience (4.0k citations) and Signal Processing (1.6k citations). Tuomas Eerola has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Jonna K. Vuoskoski, Petri Toiviainen, Marcel Zentner, Imre Lahdelma, Olivier Lartillot, Henna‐Riikka Peltola, Patrik N. Juslin, Doris McIlwain, William Forde Thompson and Jukka Louhivuori. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.