Patrick Lewis

6.3k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Patrick Lewis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Patrick Lewis has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Patrick Lewis's work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Patrick Lewis is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Patrick Lewis collaborates with scholars based in United Kingdom, Israel and United States. Patrick Lewis's co-authors include Sebastian Riedel, Tim Rocktäschel, Fabio Petroni, Alexander Miller, Yuxiang Wu, Anton Bakhtin, Myle Ott, Veselin Stoyanov, Jingfei Du and Marzieh Saeidi and has published in prestigious journals such as Bioinformatics, Journal of alcohol and drug education and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Patrick Lewis

15 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Language Models as Knowledge Bases?

2019 1.0k citations Fabio Petroni, Tim Rocktäschel et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patrick Lewis United Kingdom	8	1.2k	356	122	100	60	17	1.3k
Mikel Artetxe Spain	10	1.4k 1.2×	337 0.9×	115 0.9×	49 0.5×	44 0.7×	35	1.6k
Shashi Narayan United Kingdom	14	1.3k 1.1×	174 0.5×	113 0.9×	86 0.9×	53 0.9×	32	1.5k
Tushar Khot United States	18	1.2k 1.0×	342 1.0×	181 1.5×	63 0.6×	56 0.9×	48	1.4k
Adam Fisch United States	6	1.7k 1.4×	554 1.6×	254 2.1×	73 0.7×	42 0.7×	11	1.8k
Anton Bakhtin United States	4	1.0k 0.9×	297 0.8×	105 0.9×	43 0.4×	54 0.9×	8	1.1k
Andrew M. Dai United States	7	1.2k 1.1×	442 1.2×	185 1.5×	44 0.4×	56 0.9×	10	1.4k
Xinyan Xiao China	17	1.1k 0.9×	346 1.0×	125 1.0×	68 0.7×	89 1.5×	46	1.3k
Chris Alberti United States	7	1.3k 1.1×	492 1.4×	187 1.5×	41 0.4×	48 0.8×	13	1.4k
Aditya Barua United States	5	903 0.8×	221 0.6×	78 0.6×	47 0.5×	33 0.6×	6	1.0k
Marjan Ghazvininejad United States	15	1.1k 1.0×	421 1.2×	78 0.6×	34 0.3×	24 0.4×	32	1.3k

Countries citing papers authored by Patrick Lewis

Since Specialization

Citations

This map shows the geographic impact of Patrick Lewis'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 Patrick Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Lewis more than expected).

Fields of papers citing papers by Patrick Lewis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Lewis. 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 Patrick Lewis. The network helps show where Patrick Lewis may publish in the future.

Co-authorship network of co-authors of Patrick Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Lewis. A scholar is included among the top collaborators of Patrick Lewis 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 Patrick Lewis. Patrick Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Minervini, Pasquale, et al.. (2025). FLARE: Faithful Logic-Aided Reasoning and Exploration. Research at the University of Copenhagen (University of Copenhagen). 23396–23414.

2.

Chen, Deming, et al.. (2024). SnapKV: LLM Knows What You are Looking for Before Generation. 22947–22970. 1 indexed citations

3.

Kassner, Nora, et al.. (2023). ERATE: Efficient Retrieval Augmented Text Embeddings. 1 indexed citations

4.

Lewis, Patrick, et al.. (2023). Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. 5474–5490. 1 indexed citations

5.

Asai, Akari, Timo Schick, Patrick Lewis, et al.. (2023). Task-aware Retrieval with Instructions. 3650–3675. 21 indexed citations

6.

Chen, Xilun, Kushal Lakhotia, Barlas Oğuz, et al.. (2022). Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?. 250–262. 23 indexed citations

7.

Lewis, Patrick, Barlas Oğuz, Wenhan Xiong, et al.. (2022). Boosted Dense Retriever. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3102–3117. 6 indexed citations

8.

Lewis, Patrick, et al.. (2022). Autoregressive Search Engines: Generating Substrings as Document Identifiers. 31668–31683.

9.

Liu, Linqing, Patrick Lewis, Sebastian Riedel, & Pontus Stenetorp. (2022). Challenges in Generalization in Open Domain Question Answering. 2014–2029. 4 indexed citations

10.

Oğuz, Barlas, Kushal Lakhotia, Anchit Gupta, et al.. (2022). Domain-matched Pre-training Tasks for Dense Retrieval. 1524–1534. 30 indexed citations

11.

Lewis, Patrick, Myle Ott, Jingfei Du, & Veselin Stoyanov. (2020). Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. 146–157. 93 indexed citations

12.

Petroni, Fabio, Patrick Lewis, Aleksandra Piktus, et al.. (2020). How Context Affects Language Models' Factual Predictions. UCL Discovery (University College London). 16 indexed citations

13.

Lewis, Patrick, Ethan Perez, Aleksandra Piktus, et al.. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. UCL Discovery (University College London). 33. 9459–9474. 2 indexed citations

14.

Petroni, Fabio, Tim Rocktäschel, Sebastian Riedel, et al.. (2019). Language Models as Knowledge Bases?. 2463–2473. 1022 indexed citations breakdown →

15.

Ward, Rose Marie, et al.. (2019). Relationship between College Student Intoxication Level and Their Recall of Alcohol Poisoning Symptoms. Journal of alcohol and drug education. 63(2). 18–34. 1 indexed citations

16.

Oerton, Erin, et al.. (2018). Understanding and predicting disease relationships through similarity fusion. Bioinformatics. 35(7). 1213–1220. 13 indexed citations

17.

Saeidi, Marzieh, Max Bartolo, Patrick Lewis, et al.. (2018). Interpretation of Natural Language Rules in Conversational Machine Reading. 2087–2097. 72 indexed citations

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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