Frank Rudzicz
- Health Informatics top 0.5%
- Signal Processing top 1%
- Speech and Audio Processing 27
- Music and Audio Processing 12
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 43
- Topic Modeling 39
- Natural Language Processing Techniques 32
- Speech and dialogue systems 21
-
- Phonetics and Phonology Research 17
- Cognitive Neuroscience top 2%
-
- Voice and Speech Disorders 19
- Co-authors
- Kathleen FraserJed A. MeltzerAravind Kumar NamasivayamJudy Hanwen ShenMaria YanchevaShunan ZhaoJames ShawTrevor Jamieson
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Frank Rudzicz
174 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Health Informatics 265
- Signal Processing 680
- Artificial Intelligence 1.8k
- Experimental and Cognitive Psychology 586
- Cognitive Neuroscience 704
Countries citing papers authored by Frank Rudzicz
This map shows the geographic impact of Frank Rudzicz'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 Frank Rudzicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Rudzicz more than expected).
Fields of papers citing papers by Frank Rudzicz
This network shows the impact of papers produced by Frank Rudzicz. 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 Frank Rudzicz. The network helps show where Frank Rudzicz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Rudzicz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 37 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 38 | |
| 16 | 2014 | 25 | |
| 17 | Communication strategies for a computerized caregiver for individuals with Alzheimer’s disease | 2012 | 4 |
| 18 | Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers. | 2011 | 5 |
| 19 | T-RES: TEST OF RATING OF EMOTIONS IN SPEECH: INTERACTION OF AFFECTIVE CUES EXPRESSED IN LEXICAL CONTENT AND PROSODY OF SPOKEN SENTENCES | 2011 | 1 |
| 20 | Towards a noisy-channel model of dysarthria in speech recognition | 2010 | 4 |
About Frank Rudzicz
Frank Rudzicz is a scholar working on Artificial Intelligence, Signal Processing and Health Informatics, having authored 182 papers that have together received 3.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (43 papers), Topic Modeling (39 papers), Natural Language Processing Techniques (32 papers), Speech and Audio Processing (27 papers), Speech and dialogue systems (21 papers), Voice and Speech Disorders (19 papers), Phonetics and Phonology Research (17 papers) and Music and Audio Processing (12 papers). The work is most often cited by research in Health Informatics (265 citations), Signal Processing (680 citations) and Artificial Intelligence (1.8k citations). Frank Rudzicz has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kathleen Fraser, Jed A. Meltzer, Aravind Kumar Namasivayam, Judy Hanwen Shen, Maria Yancheva, Shunan Zhao, James Shaw, Trevor Jamieson, Avi Goldfarb and Teodor Grantcharov. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.