Johan Rohdin
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
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- Speech Recognition and Synthesis 21
- Natural Language Processing Techniques 4
-
- Speech and Audio Processing 17
- Music and Audio Processing 13
- Co-authors
- Lukáš Burget (13 shared papers)Jaň Černocký (8 shared papers)Oldřich Plchot (11 shared papers)Shuai Wang (3 shared papers)Mireia Díez (7 shared papers)Kai Yu (2 shared papers)Koichi Shinoda (5 shared papers)Ondřej Glembek (6 shared papers)
- Journals
- Computer Speech & Language (3 papers)Speech Communication (2 papers)IEEE Access (2 papers)Life (1 paper)Science & Justice (1 paper)
- Partner nations
- CzechiaJapanBangladesh
In The Last Decade
Johan Rohdin
31 papers receiving 229 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 180
- Artificial Intelligence 200
- Ophthalmology 22
- Radiology, Nuclear Medicine and Imaging 25
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Johan Rohdin
This map shows the geographic impact of Johan Rohdin'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 Johan Rohdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Rohdin more than expected).
Fields of papers citing papers by Johan Rohdin
This network shows the impact of papers produced by Johan Rohdin. 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 Johan Rohdin. The network helps show where Johan Rohdin may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Rohdin, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 36 | |
| 2 | 2019 | 36 | |
| 3 | 2020 | 23 | |
| 4 | 2018 | 23 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2019 | 8 | |
| 9 | 2014 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2020 | 5 | |
| 14 | Is There Any Similarity Between a Person’s Left and Right Retina? | 2019 | 4 |
| 15 | 2022 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Johan Rohdin
Johan Rohdin is a scholar working on Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 234 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (17 papers), Music and Audio Processing (13 papers), Retinal Imaging and Analysis (9 papers), Glaucoma and retinal disorders (6 papers), Natural Language Processing Techniques (4 papers), Retinal Diseases and Treatments (3 papers) and Retinal and Optic Conditions (3 papers). The work is most often cited by research in Signal Processing (180 citations), Artificial Intelligence (200 citations), Ophthalmology (22 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Computer Vision and Pattern Recognition (20 citations). Johan Rohdin has collaborated with scholars based in Czechia, Japan and Bangladesh. Frequent co-authors include Lukáš Burget, Jaň Černocký, Oldřich Plchot, Shuai Wang, Mireia Díez, Kai Yu, Koichi Shinoda, Ondřej Glembek, Ladislav Mošner and Yanmin Qian. Their work appears in journals such as Computer Speech & Language, Speech Communication, IEEE Access, Life and Science & Justice.
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.