Omid Rohanian
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Machine Learning in Healthcare
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Speech and dialogue systems
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 12
- Machine Learning in Healthcare 4
- Text Readability and Simplification 3
- Advanced Text Analysis Techniques 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Shiva Taslimipoor (8 shared papers)Samaneh Kouchaki (6 shared papers)David A. Clifton (8 shared papers)Le An Ha (5 shared papers)Ruslan Mitkov (4 shared papers)Victoria Yaneva (2 shared papers)Marek Rei (1 shared paper)Richard Evans (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (2 papers)Natural Language Engineering (1 paper)BMC Medical Informatics and Decision Making (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomChinaIran
In The Last Decade
Omid Rohanian
19 papers receiving 142 citations
Peers
Comparison fields: 5 of 40
- Health Informatics 10
- Artificial Intelligence 122
- Health Information Management 7
- Experimental and Cognitive Psychology 11
- Human-Computer Interaction 4
Countries citing papers authored by Omid Rohanian
This map shows the geographic impact of Omid Rohanian'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 Omid Rohanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Rohanian more than expected).
Fields of papers citing papers by Omid Rohanian
This network shows the impact of papers produced by Omid Rohanian. 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 Omid Rohanian. The network helps show where Omid Rohanian may publish in the future.
Co-authors
The 25 scholars most cited alongside Omid Rohanian, 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 | 2023 | 21 | |
| 2 | 2018 | 20 | |
| 3 | 2020 | 14 | |
| 4 | 2024 | 13 | |
| 5 | 2017 | 11 | |
| 6 | 2017 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2022 | 1 |
About Omid Rohanian
Omid Rohanian is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Health Information Management and Health Informatics, having authored 19 papers that have together received 151 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers), Machine Learning in Healthcare (4 papers), Text Readability and Simplification (3 papers), Advanced Text Analysis Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Multimodal Machine Learning Applications (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (122 citations), Health Information Management (7 citations), Experimental and Cognitive Psychology (11 citations) and Human-Computer Interaction (4 citations). Omid Rohanian has collaborated with scholars based in United Kingdom, China and Iran. Frequent co-authors include Shiva Taslimipoor, Samaneh Kouchaki, David A. Clifton, Le An Ha, Ruslan Mitkov, Victoria Yaneva, Marek Rei, Richard Evans, Lei Clifton and Constantin Orǎsan. Their work appears in journals such as Artificial Intelligence in Medicine, Natural Language Engineering, BMC Medical Informatics and Decision Making, IEEE Journal of Biomedical and Health Informatics and Bioinformatics.
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.