Ronak Pradeep
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 10
- Advanced Text Analysis Techniques 4
- Machine Learning in Healthcare 3
- Semantic Web and Ontologies 1
-
- Multimodal Machine Learning Applications 2
- Digital Imaging for Blood Diseases 1
- Co-authors
- Jimmy Lin (16 shared papers)Rodrigo Nogueira (7 shared papers)Zhiying Jiang (1 shared paper)Xueguang Ma (4 shared papers)Sheng-Chieh Lin (2 shared papers)Jheng-Hong Yang (2 shared papers)Hui Fang (1 shared paper)Raphael Tang (1 shared paper)
- Journals
- Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2 papers)Text REtrieval Conference (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Ronak Pradeep
15 papers receiving 457 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 423
- Computer Vision and Pattern Recognition 122
- Information Systems 124
- Health Informatics 6
- Information Systems and Management 17
Countries citing papers authored by Ronak Pradeep
This map shows the geographic impact of Ronak Pradeep'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 Ronak Pradeep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronak Pradeep more than expected).
Fields of papers citing papers by Ronak Pradeep
This network shows the impact of papers produced by Ronak Pradeep. 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 Ronak Pradeep. The network helps show where Ronak Pradeep may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronak Pradeep, 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 | 2021 | 179 | |
| 2 | 2020 | 175 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 16 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 8 | |
| 10 | H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. | 2020 | 4 |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Ronak Pradeep
Ronak Pradeep is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Sociology and Political Science, having authored 18 papers that have together received 482 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers), Advanced Text Analysis Techniques (4 papers), Machine Learning in Healthcare (3 papers), Multimodal Machine Learning Applications (2 papers), Semantic Web and Ontologies (1 paper), Time Series Analysis and Forecasting (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Artificial Intelligence (423 citations), Computer Vision and Pattern Recognition (122 citations), Information Systems (124 citations), Health Informatics (6 citations) and Information Systems and Management (17 citations). Ronak Pradeep has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Jimmy Lin, Rodrigo Nogueira, Zhiying Jiang, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Hui Fang, Raphael Tang, Kyunghyun Cho and Edwin Zhang. Their work appears in journals such as Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and Text REtrieval Conference.
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.