Ronak Pradeep
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Semantic Web and Ontologies
- Information Systems top 5%
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 20
- Natural Language Processing Techniques 13
- Advanced Text Analysis Techniques 4
- Machine Learning in Healthcare 4
- Domain Adaptation and Few-Shot Learning 2
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 2
- Co-authors
- Jimmy Lin (23 shared papers)Rodrigo Nogueira (7 shared papers)Zhiying Jiang (1 shared paper)Xueguang Ma (5 shared papers)Sheng-Chieh Lin (2 shared papers)Jheng-Hong Yang (2 shared papers)Yuqi Liu (1 shared paper)Yilin Li (1 shared paper)
- Journals
- Lecture notes in computer science (6 papers)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)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 StatesGermany
In The Last Decade
Ronak Pradeep
26 papers receiving 706 citations
Ronak Pradeep's Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 603
- Information Systems 196
- Computer Vision and Pattern Recognition 174
- Management Science and Operations Research 53
- Health Informatics 6
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Document Ranking with a Pretrained Sequence-to-Sequence Model Hit paper breakdown → | 2020 | 300 |
| 2 | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations Hit paper breakdown → | 2021 | 239 |
| 3 | 2020 | 34 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 5 | |
| 13 | H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. | 2020 | 4 |
| 14 | 2025 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Ronak Pradeep
Ronak Pradeep is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, General Social Sciences and Media Technology, having authored 26 papers that have together received 750 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers), Multimodal Machine Learning Applications (5 papers), Advanced Text Analysis Techniques (4 papers), Machine Learning in Healthcare (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Misinformation and Its Impacts (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Artificial Intelligence (603 citations), Information Systems (196 citations), Computer Vision and Pattern Recognition (174 citations), Management Science and Operations Research (53 citations) and Health Informatics (6 citations). Ronak Pradeep has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Jimmy Lin, Rodrigo Nogueira, Zhiying Jiang, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Yuqi Liu, Yilin Li, Andrew Yates and Nïkhil Gupta. Their work appears in journals such as Lecture notes in computer science, White Rose Research Online (University of Leeds, The University of Sheffield, University of York), 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.