Jan Trmal
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Advanced Text Analysis Techniques
Papers in
-
- Speech Recognition and Synthesis 23
- Natural Language Processing Techniques 15
- Topic Modeling 5
- Speech and dialogue systems 5
- Algorithms and Data Compression 2
-
- Music and Audio Processing 9
- Speech and Audio Processing 7
- Co-authors
- Sanjeev Khudanpur (19 shared papers)Daniel Povey (10 shared papers)Pegah Ghahremani (3 shared papers)Bagher BabaAli (2 shared papers)Korbinian Riedhammer (1 shared paper)Guoguo Chen (6 shared papers)David Yarowsky (3 shared papers)Shinji Watanabe (3 shared papers)
- Journals
- Language Resources and Evaluation (1 paper)Lecture notes in computer science (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (2 papers)
- Partner nations
- United StatesIranChina
In The Last Decade
Jan Trmal
22 papers receiving 706 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 471
- Artificial Intelligence 744
- Experimental and Cognitive Psychology 61
- Computer Vision and Pattern Recognition 65
- Linguistics and Language 6
Countries citing papers authored by Jan Trmal
This map shows the geographic impact of Jan Trmal'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 Jan Trmal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Trmal more than expected).
Fields of papers citing papers by Jan Trmal
This network shows the impact of papers produced by Jan Trmal. 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 Jan Trmal. The network helps show where Jan Trmal may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Trmal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 216 | |
| 2 | 2014 | 211 | |
| 3 | 2021 | 133 | |
| 4 | 2013 | 74 | |
| 5 | 2013 | 36 | |
| 6 | 2014 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2014 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2014 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2015 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2023 | 3 |
About Jan Trmal
Jan Trmal is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Radiation and Experimental and Cognitive Psychology, having authored 24 papers that have together received 818 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (15 papers), Music and Audio Processing (9 papers), Speech and Audio Processing (7 papers), Topic Modeling (5 papers), Speech and dialogue systems (5 papers), Algorithms and Data Compression (2 papers) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Signal Processing (471 citations), Artificial Intelligence (744 citations), Experimental and Cognitive Psychology (61 citations), Computer Vision and Pattern Recognition (65 citations) and Linguistics and Language (6 citations). Jan Trmal has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Sanjeev Khudanpur, Daniel Povey, Pegah Ghahremani, Bagher BabaAli, Korbinian Riedhammer, Guoguo Chen, David Yarowsky, Shinji Watanabe, Dan Su and Wei Zou. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.