Graham Neubig

728 total papers · 21.5k total citations
278 papers, 8.0k citations indexed

About

Graham Neubig is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Graham Neubig has authored 278 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 253 papers in Artificial Intelligence, 66 papers in Computer Vision and Pattern Recognition and 24 papers in Information Systems. Recurrent topics in Graham Neubig's work include Natural Language Processing Techniques (218 papers), Topic Modeling (216 papers) and Multimodal Machine Learning Applications (51 papers). Graham Neubig is often cited by papers focused on Natural Language Processing Techniques (218 papers), Topic Modeling (216 papers) and Multimodal Machine Learning Applications (51 papers). Graham Neubig collaborates with scholars based in United States, Japan and United Kingdom. Graham Neubig's co-authors include Zhengbao Jiang, Hiroaki Hayashi, Pengfei Liu, Weizhe Yuan, Jinlan Fu, Pengcheng Yin, Shinsuke Mori, Satoshi Nakamura, Frank F. Xu and Junjie Hu and has published in prestigious journals such as ACM Computing Surveys, Computational Linguistics and Speech Communication.

In The Last Decade

Graham Neubig

259 papers receiving 7.5k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

2022 1.9k citations Pengfei Liu, Weizhe Yuan et al. ACM Computing Surveys profile →
A systematic evaluation of large language models of code

2022 275 citations Frank F. Xu, Uri Alon et al. profile →
Active Retrieval Augmented Generation

2023 136 citations Zhengbao Jiang, Frank F. Xu et al. profile →
BRIO: Bringing Order to Abstractive Summarization

2022 116 citations Yixin Liu, Pengfei Liu et al. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Graham Neubig	6.5k	1.8k	1.2k	410	370	278	8.0k
Luke Zettlemoyer	8.4k 1.3×	2.6k 1.5×	1.2k 1.1×	289 0.7×	233 0.6×	170	9.7k
Percy Liang	12.1k 1.9×	3.7k 2.1×	1.6k 1.4×	484 1.2×	290 0.8×	147	13.9k
Nan Duan	4.3k 0.7×	1.8k 1.0×	2.0k 1.8×	586 1.4×	787 2.1×	155	6.6k
Kai-Wei Chang	4.2k 0.6×	854 0.5×	803 0.7×	427 1.0×	199 0.5×	186	6.1k
Randall Davis	3.3k 0.5×	1.5k 0.9×	714 0.6×	226 0.6×	357 1.0×	177	6.9k
Bing Qin	7.0k 1.1×	555 0.3×	2.1k 1.8×	530 1.3×	536 1.4×	233	8.6k
Shafiq Joty	3.1k 0.5×	648 0.4×	1.1k 0.9×	212 0.5×	285 0.8×	179	4.3k
Xipeng Qiu	5.0k 0.8×	1.1k 0.6×	796 0.7×	328 0.8×	55 0.1×	191	6.0k
Yoon Kim	8.5k 1.3×	1.6k 0.9×	1.9k 1.6×	919 2.2×	156 0.4×	158	11.6k
Salim Roukos	12.2k 1.9×	4.1k 2.3×	1.2k 1.0×	630 1.5×	158 0.4×	93	14.2k

Countries citing papers authored by Graham Neubig

Since Specialization

Citations

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

Fields of papers citing papers by Graham Neubig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Neubig

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

All Works

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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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