Christopher D. Manning
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
- Semantic Web and Ontologies
- Computer Vision and Pattern Recognition top 0.02%
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 252
- Topic Modeling 251
- Speech and dialogue systems 40
- Semantic Web and Ontologies 35
- Text Readability and Simplification 32
- Text and Document Classification Technologies 21
-
- Multimodal Machine Learning Applications 26
- Co-authors
- Richard Socher (17 shared papers)Jeffrey Pennington (2 shared papers)Hinrich Schütze (2 shared papers)Dan Klein (23 shared papers)Prabhakar Raghavan (1 shared paper)Thang Luong (6 shared papers)Andrew Y. Ng (14 shared papers)Jenny Rose Finkel (17 shared papers)
- 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 StatesAustraliaUnited Kingdom
In The Last Decade
Christopher D. Manning
418 papers receiving 81.5k citations
Christopher D. Manning's Hit Papers
Peers
Comparison fields: 5 of 231
- Artificial Intelligence 69.1k
- Computer Vision and Pattern Recognition 14.5k
- Information Systems 13.9k
- Signal Processing 4.3k
- General Social Sciences 1.3k
Countries citing papers authored by Christopher D. Manning
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
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-authors
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.
All Works
Showing the 20 most-cited of 441 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Glove: Global Vectors for Word Representation Hit paper breakdown → | 2014 | 18924 |
| 2 | Introduction to Information Retrieval Hit paper breakdown → | 2008 | 6771 |
| 3 | Foundations of statistical natural language processing Hit paper breakdown → | 1999 | 5888 |
| 4 | Effective Approaches to Attention-based Neural Machine Translation Hit paper breakdown → | 2015 | 4964 |
| 5 | The Stanford CoreNLP Natural Language Processing Toolkit Hit paper breakdown → | 2014 | 4402 |
| 6 | Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Hit paper breakdown → | 2013 | 3712 |
| 7 | Get To The Point: Summarization with Pointer-Generator Networks Hit paper breakdown → | 2017 | 2098 |
| 8 | Accurate unlexicalized parsing Hit paper breakdown → | 2003 | 2017 |
| 9 | Incorporating non-local information into information extraction systems by Gibbs sampling Hit paper breakdown → | 2005 | 1903 |
| 10 | Feature-rich part-of-speech tagging with a cyclic dependency network Hit paper breakdown → | 2003 | 1832 |
| 11 | A large annotated corpus for learning natural language inference Hit paper breakdown → | 2015 | 1791 |
| 12 | Generating Typed Dependency Parses from Phrase Structure Parses Hit paper breakdown → | 2006 | 1528 |
| 13 | A Fast and Accurate Dependency Parser using Neural Networks Hit paper breakdown → | 2014 | 1051 |
| 14 | Advances in natural language processing Hit paper breakdown → | 2015 | 998 |
| 15 | Reasoning With Neural Tensor Networks for Knowledge Base Completion Hit paper breakdown → | 2013 | 922 |
| 16 | Labeled LDA Hit paper breakdown → | 2009 | 851 |
| 17 | Semantic Compositionality through Recursive Matrix-Vector Spaces Hit paper breakdown → | 2012 | 773 |
| 18 | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering Hit paper breakdown → | 2018 | 762 |
| 19 | Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Hit paper breakdown → | 2011 | 747 |
| 20 | Parsing Natural Scenes and Natural Language with Recursive Neural Networks Hit paper breakdown → | 2011 | 682 |
About Christopher D. Manning
Christopher D. Manning is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Molecular Biology and Information Systems, having authored 441 papers that have together received 89.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (252 papers), Topic Modeling (251 papers), Speech and dialogue systems (40 papers), Semantic Web and Ontologies (35 papers), Text Readability and Simplification (32 papers), Biomedical Text Mining and Ontologies (29 papers), Multimodal Machine Learning Applications (26 papers) and Text and Document Classification Technologies (21 papers). The work is most often cited by research in Artificial Intelligence (69.1k citations), Computer Vision and Pattern Recognition (14.5k citations), Information Systems (13.9k 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, Thang Luong, Andrew Y. Ng, 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.