Thomas Merritt
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Physiology
- Co-authors
- Simon KingGustav Eje HenterZhizheng WuArnab GhoshalMatthew P. AylettRoberto Barra-ChicoteOliver WattsThomas Drugman
- Topics
- Speech Recognition and Synthesis (16 papers)Speech and Audio Processing (10 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Journal of Engineering EducationInternational Journal of Industrial ErgonomicsExpert Systems
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Thomas Merritt
25 papers receiving 272 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 258
- Signal Processing 191
- Experimental and Cognitive Psychology 43
- Computer Vision and Pattern Recognition 35
- Physiology 14
Countries citing papers authored by Thomas Merritt
This map shows the geographic impact of Thomas Merritt'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 Thomas Merritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Merritt more than expected).
Fields of papers citing papers by Thomas Merritt
This network shows the impact of papers produced by Thomas Merritt. 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 Thomas Merritt. The network helps show where Thomas Merritt may publish in the future.
Co-authorship network of co-authors of Thomas Merritt
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Merritt. A scholar is included among the top collaborators of Thomas Merritt 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 Thomas Merritt. Thomas Merritt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 51 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 29 | |
| 10 | 3 | |
| 11 | 43 | |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Investigating the shortcomings of HMM synthesis | 8 |
| 17 | Fuzzy set theory for cumulative trauma prediction | 3 |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 1 |
About Thomas Merritt
Thomas Merritt is a scholar working on Signal Processing, Architecture and Medical Laboratory Technology, having authored 25 papers that have together received 328 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (10 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (191 citations), Artificial Intelligence (258 citations) and Experimental and Cognitive Psychology (43 citations). Thomas Merritt has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Simon King, Gustav Eje Henter, Zhizheng Wu, Arnab Ghoshal, Matthew P. Aylett, Roberto Barra-Chicote, Oliver Watts, Thomas Drugman, Javier Latorre and Alexis Moinet. Their work appears in journals such as Journal of Engineering Education, International Journal of Industrial Ergonomics and Expert Systems.
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.