2026 Christopher D. Manning: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	155	25	24	15	14	484	217855

Christopher D. Manning publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Christopher D. Manning sits on this spectrum.

32 publications 991+

This scientist: 484 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Christopher D. Manning D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Christopher D. Manning sits on this spectrum.

30 D-Index 131+

This scientist: 155 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2013 - ACM Fellow For contributions to natural language processing research and education.
2010 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to statistical natural language processing, including in statistical parsing and grammar induction, and education through leading textbooks.

Overview

Christopher D. Manning is affiliated with Stanford University in the United States. Their work spans numerous areas within computer science, with a particular focus on artificial intelligence and natural language processing. Over the course of their career, they have contributed extensively to these fields through research, publications, and collaboration with other scholars.

The main fields of study for this scientist include:

Computer Science

Their subfields of specialization consist of:

Artificial Intelligence
Computer Vision and Pattern Recognition
Molecular Biology
Political Science and International Relations
Health Informatics

Christopher D. Manning's research topics cover a diverse range of subjects such as:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Text Readability and Simplification
Adversarial Robustness in Machine Learning
Biomedical Text Mining and Ontologies
Domain Adaptation and Few-Shot Learning

Some recent papers contributed by Manning include:

On the Opportunities and Risks of Foundation Models, 2021, arXiv (Cornell University)
Question Answering For Toxicological Information Extraction, 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Universal Dependencies for Multilingual Open Information Extraction, 2021, arXiv (Cornell University)
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators, 2020, arXiv (Cornell University)

Frequent co-authors who have collaborated with Manning include:

Christopher Potts
Shikhar Murty
Percy Liang
Chelsea Finn
Eric Mitchell

The primary venues where Manning's work has been published are:

arXiv (Cornell University)
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Archives of Orthopaedic and Trauma Surgery
Bulletin of Indonesian Economic Studies

Throughout their career, Christopher D. Manning has received the following awards:

ACM Fellow (2013) for contributions to natural language processing research and education
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2010) for contributions to statistical natural language processing, including statistical parsing and grammar induction, and education through leading textbooks

Best Publications

Glove: Global Vectors for Word Representation

Jeffrey Pennington;Richard Socher;Christopher Manning

36832
Citations
Introduction to Information Retrieval

Christopher D. Manning;Prabhakar Raghavan;Hinrich Schütze

20204
Citations
Foundations of Statistical Natural Language Processing

Christopher D. Manning;Hinrich Schütze

16534
Citations
Effective Approaches to Attention-based Neural Machine Translation

Minh-Thang Luong;Hieu Pham;Christopher D. Manning

9386
Citations
The Stanford CoreNLP Natural Language Processing Toolkit

Christopher Manning;Mihai Surdeanu;John Bauer;Jenny Finkel

8725
Citations
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Richard Socher;Alex Perelygin;Jean Wu;Jason Chuang

7717
Citations
Feature-rich part-of-speech tagging with a cyclic dependency network

Kristina Toutanova;Dan Klein;Christopher D. Manning;Yoram Singer

4339
Citations
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling

Jenny Rose Finkel;Trond Grenager;Christopher Manning

4090
Citations
Accurate Unlexicalized Parsing

Dan Klein;Christopher D. Manning

3984
Citations
A large annotated corpus for learning natural language inference

Samuel R. Bowman;Gabor Angeli;Christopher Potts;Christopher D. Manning

3894
Citations
Get To The Point: Summarization with Pointer-Generator Networks

Abigail See;Peter J. Liu;Christopher D. Manning

3836
Citations
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Kai Sheng Tai;Richard Socher;Christopher D. Manning

3482
Citations
Generating Typed Dependency Parses from Phrase Structure Parses

Marie-Catherine de Marneffe;Bill MacCartney;Christopher D. Manning

3072
Citations
A Fast and Accurate Dependency Parser using Neural Networks

Danqi Chen;Christopher Manning

2318
Citations
On the Opportunities and Risks of Foundation Models.

Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

2127
Citations
Reasoning With Neural Tensor Networks for Knowledge Base Completion

Richard Socher;Danqi Chen;Christopher D Manning;Andrew Ng

2023
Citations
Advances in natural language processing.

Julia Hirschberg;Christopher D. Manning

1820
Citations
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora

Daniel Ramage;David Hall;Ramesh Nallapati;Christopher D. Manning

1748
Citations
Parsing Natural Scenes and Natural Language with Recursive Neural Networks

Richard Socher;Cliff C. Lin;Chris Manning;Andrew Y. Ng

1660
Citations
Semantic Compositionality through Recursive Matrix-Vector Spaces

Richard Socher;Brody Huval;Christopher D. Manning;Andrew Y. Ng

1622
Citations
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Zhilin Yang;Peng Qi;Saizheng Zhang;Yoshua Bengio

1581
Citations
Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger

Kristina Toutanvoa;Christopher D. Manning

1489
Citations
Foundations of statistical natural language processing

Gerhard Weikum

123
Citations

Frequent Co-Authors

Dan Jurafsky Stanford University

Hinrich Schütze Ludwig-Maximilians-Universität München

Prabhakar Raghavan Google (United States)

Richard Socher you.com

Daniel Klein University of California, Berkeley

Marie-Catherine de Marneffe The Ohio State University

Andrew Y. Ng Stanford University

Kristina Toutanova Google (United States)

Angel X. Chang Simon Fraser University

Daniel Cer Google (United States)

External Links

Personal website of Christopher D. Manning Google Scholar page

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