Ronak Pradeep

1.2k total citations
18 papers, 482 citations indexed

About

Ronak Pradeep is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ronak Pradeep has authored 18 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Ronak Pradeep's work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (4 papers). Ronak Pradeep is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Advanced Text Analysis Techniques (4 papers). Ronak Pradeep collaborates with scholars based in Canada, United States and Italy. Ronak Pradeep's co-authors include Jimmy Lin, Rodrigo Nogueira, Zhiying Jiang, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Hui Fang, Raphael Tang, Nïkhil Gupta and Edwin Zhang and has published in prestigious journals such as Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and Text REtrieval Conference.

In The Last Decade

Ronak Pradeep

15 papers receiving 457 citations

Peers

Countries citing papers authored by Ronak Pradeep

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ronak Pradeep

This figure shows the co-authorship network connecting the top 25 collaborators of Ronak Pradeep. A scholar is included among the top collaborators of Ronak Pradeep based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronak Pradeep. Ronak Pradeep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models 2025 ·Ronak Pradeep, Nandan Thakur, (unknown), Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin	0
2	RankLLM: A Python Package for Reranking with LLMs 2025 ·(unknown), Ronak Pradeep, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jimmy Lin	0
3	A Large-Scale Study of Relevance Assessments with Large Language Models Using UMBRELA 2025 ·(unknown), Ronak Pradeep, Nandan Thakur, Daniel Campos, Nick Craswell, Ian Soboroff, Jimmy Lin	0
4	ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models 2024 ·Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, (unknown), Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, (unknown), Yunyao Li	3
5	Vector Search with OpenAI Embeddings: Lucene Is All You Need 2024 ·(unknown), (unknown), Ronak Pradeep, Jimmy Lin	14
6	Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages 2024 ·Mofetoluwa Adeyemi, (unknown), Ronak Pradeep, Jimmy Lin	2
7	How Does Generative Retrieval Scale to Millions of Passages? 2023 ·Ronak Pradeep, (unknown), Jai Prakash Gupta, (unknown), Honglei Zhuang, Jimmy Lin, Donald Metzler, (unknown)	10
8	Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching 2022 ·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Ronak Pradeep, Jianping Li, Yuetong Wang, Jimmy Lin	8
9	Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2 2022 ·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin	10
10	Exploring Listwise Evidence Reasoning with T5 for Fact Verification 2021 ·(unknown), Ronak Pradeep, Jimmy Lin	26
11	Comparison of Foveated Downsampling Techniques in Image Recognition 2021 ·(unknown), Ronak Pradeep, Jeff Orchard, (unknown)	1
12	Analysing Research Trends Using Topic Modelling and Trend Prediction 2021 ·(unknown), (unknown), Ronak Pradeep, Rajeswari Sridhar	2
13	Chatty Goose: A Python Framework for Conversational Search 2021 ·Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin	2
14	Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search 2021 ·Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin	16
15	Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations 2021 ·Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira	179
16	H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. 2020 ·Text REtrieval Conference ·Ronak Pradeep, Xueguang Ma, (unknown), Hang Cui, (unknown), Rodrigo Nogueira, Jimmy Lin	4
17	Document Ranking with a Pretrained Sequence-to-Sequence Model 2020 ·Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin	175
18	Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset 2020 ·Edwin Zhang, Nïkhil Gupta, Raphael Tang, (unknown), Ronak Pradeep, (unknown), (unknown), Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin	30

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.

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