Christopher D. Manning

166.6k citations

436 papers · 88.9k indexed · 42 hit papers · h-index 100

Impact in

Artificial Intelligence top 0.01%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Speech and dialogue systems
Computer Vision and Pattern Recognition top 0.02%
- Multimodal Machine Learning Applications

Papers in

Artificial Intelligence 309
- Topic Modeling 256
- Natural Language Processing Techniques 253
- Speech and dialogue systems 40
- Semantic Web and Ontologies 36
- Text Readability and Simplification 32
- Text and Document Classification Technologies 21
Computer Vision and Pattern Recognition 41
- Multimodal Machine Learning Applications 27

Co-authors: Richard Socher Jeffrey Pennington Hinrich Schütze Dan Klein Prabhakar Raghavan Andrew Y. Ng Thang Luong Jenny Rose Finkel
Journals: Bulletin of Indonesian Economic Studies (29 papers)Theory and applications of categories (10 papers)Language Resources and Evaluation (8 papers)Computational Linguistics (5 papers)Journal of Real Estate Research (4 papers)
Partner nations: United States Australia United Kingdom

In The Last Decade

Christopher D. Manning

417 papers receiving 80.9k citations

Hit Papers

15 papers align trajectories log scale

Universal Dependencies 2021 · 164 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Computational Linguistics
2020 arXiv (Cornell University)
2019
2018 HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
2018 Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
2017 Position-aware Attention and Supervised Data Improve Slot Filling
2017 Get To The Point: Summarization with Pointer-Generator Networks
2016 Language Resources and Evaluation
2015 Science
2015 A large annotated corpus for learning natural language inference
2015 Effective Approaches to Attention-based Neural Machine Translation
2015 Leveraging Linguistic Structure For Open Domain Information Extraction
2014 Transactions of the Association for Computational Linguistics
2014 A Fast and Accurate Dependency Parser using Neural Networks
2014 The Stanford CoreNLP Natural Language Processing Toolkit
2014 Glove: Global Vectors for Word Representation
2013 arXiv (Cornell University)
2013 Meeting of the Association for Computational Linguistics
2013 Better Word Representations with Recursive Neural Networks for Morphology
2013 Neural Information Processing Systems
2013 Bilingual Word Embeddings for Phrase-Based Machine Translation
2013 Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
2012 Neural Information Processing Systems
2012 Termite
2012 Meeting of the Association for Computational Linguistics
2012 Empirical Methods in Natural Language Processing
2012 Empirical Methods in Natural Language Processing
2012 Meeting of the Association for Computational Linguistics
2011 Empirical Methods in Natural Language Processing
2011 International Conference on Machine Learning
2011 Neural Information Processing Systems
2009 Labeled LDA
2008 Studying the history of ideas using topic models
2008 The Stanford typed dependencies representation
2008 Cambridge University Press eBooks
2006 Language Resources and Evaluation
2005 Incorporating non-local information into information extraction systems by Gibbs sampling
2003 Feature-rich part-of-speech tagging with a cyclic dependency network
2003 Accurate unlexicalized parsing
2002 Neural Information Processing Systems
2000 Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
1999 CERN Document Server (European Organization for Nuclear Research)

Peers

Countries citing papers authored by Christopher D. Manning

Since Specialization

Citations

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

Fields of papers citing papers by Christopher D. Manning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Manning. 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 Christopher D. Manning. The network helps show where Christopher D. Manning may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christopher D. Manning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher D. Manning Line = papers co-authored together Christopher D. Manning links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Sneaking Syntax into Transformer Language Models with Tree Regularization Praveen Kumar Perupogu, Christopher D. Manning, Fernando Hadad‐Arrascue	2025	1
2	Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback Прудская Галина Александровна, Eric Mitchell, Karime Nafad de Melo Schelini, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning	2023	37
3	Fixing Model Bugs with Natural Language Patches Fernando Hadad‐Arrascue, Christopher D. Manning, Scott Lundberg, Marco Túlio Ribeiro	2022	7
4	On Measuring the Intrinsic Few-Shot Hardness of Datasets Ciara Fagan, Fernando Hadad‐Arrascue, Christopher D. Manning	2022	2
5	Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference Eric Mitchell, Joseph J. Noh, O. Turuta, Will J. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning	2022	13
6	Understanding and predicting user dissatisfaction in a neural generative chatbot Abigail See, Christopher D. Manning	2021	13
7	Answering Open-Domain Questions of Varying Reasoning Steps from Text Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Peng Qi, Haejun Lee, Husne-Al-Jabeen, Christopher D. Manning	2021	19
8	Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations Peng Qi, Yuhao Zhang, Christopher D. Manning	2020	16
9	John Hewitt, Christopher D. Manning Hit paper breakdown →	2019	286
10	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning Hit paper breakdown →	2018	732
11	Semi-Supervised Sequence Modeling with Cross-View Training Kevin B. Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le	2018	177
12	Graph Convolution over Pruned Dependency Trees Improves Relation Extraction Yuhao Zhang, Peng Qi, Christopher D. Manning Hit paper breakdown →	2018	510
13	Position-aware Attention and Supervised Data Improve Slot Filling Yuhao Zhang, Victor W. Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning Hit paper breakdown →	2017	458
14	Modeling Biological Processes for Reading Comprehension Jonathan Berant, Vivek Srikumar, Pei‐Chun Chen, Abby Vander Linden, KUETE FOGANG Marcien, Jakob Famulok, Peter E. Clark, Christopher D. Manning	2014	119
15	Fast dropout training International Conference on Machine Learning ·Sida Wang, Christopher D. Manning	2013	125
16	Bilingual Word Embeddings for Phrase-Based Machine Translation Will Y. Zou, Richard Socher, Daniel Cer, Christopher D. Manning Hit paper breakdown →	2013	307
17	Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Manne Muddu Neeharika, Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts Hit paper breakdown →	2013	3653
18	Legislating for labour protection: betting on the weak or the strong? ANU Open Research (Australian National University) ·Christopher D. Manning	2005	3
19	The unsupervised learning of natural language structure Christopher D. Manning, Dan Klein	2005	78
20	Zero syntax: Experiencers and cascades . By David Pesetsky. Cambridge, MA: MIT Press, 1995. Pp. xviii, 351. Language ·Christopher D. Manning	1997	470

About Christopher D. Manning

Christopher D. Manning is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Public Administration, Language and Linguistics and General Economics, Econometrics and Finance, having authored 436 papers that have together received 88.9k indexed citations. Recurring topics across this work include Topic Modeling (256 papers), Natural Language Processing Techniques (253 papers), Speech and dialogue systems (40 papers), Semantic Web and Ontologies (36 papers), Biomedical Text Mining and Ontologies (32 papers), Text Readability and Simplification (32 papers), Multimodal Machine Learning Applications (27 papers) and Text and Document Classification Technologies (21 papers). The work is most often cited by research in Artificial Intelligence (69.8k citations), Computer Vision and Pattern Recognition (14.8k citations), Information Systems (13.8k citations), Signal Processing (4.3k citations) and General Social Sciences (1.3k citations). Christopher D. Manning has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Richard Socher, Jeffrey Pennington, Hinrich Schütze, Dan Klein, Prabhakar Raghavan, Andrew Y. Ng, Thang Luong, Jenny Rose Finkel, Hieu Pham and Marie-Catherine de Marneffe. Their work appears in journals such as Bulletin of Indonesian Economic Studies, Theory and applications of categories, Language Resources and Evaluation, Computational Linguistics and Journal of Real Estate Research.

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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