John Langford
Impact in
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.05%
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
-
- Machine Learning and Algorithms 51
- Machine Learning and Data Classification 22
- Reinforcement Learning in Robotics 17
- Imbalanced Data Classification Techniques 13
- Algorithms and Data Compression 12
- Data Stream Mining Techniques 7
-
- Advanced Bandit Algorithms Research 29
- Co-authors
- Joshua B. Tenenbaum (1 shared paper)Vin de Silva (1 shared paper)Sham M. Kakade (7 shared papers)Alina Beygelzimer (15 shared papers)Bianca Zadrozny (8 shared papers)Naoki Abe (3 shared papers)Manuel Blum (2 shared papers)Luis von Ahn (3 shared papers)
- Journals
- Machine Learning (4 papers)Journal of Machine Learning Research (4 papers)Communications of the ACM (4 papers)International Journal of Rock Mechanics and Mining Sciences (2 papers)Algorithmica (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John Langford
109 papers receiving 14.2k citations
John Langford's Hit Papers
Peers
Comparison fields: 5 of 207
- Computer Vision and Pattern Recognition 6.0k
- Artificial Intelligence 7.2k
- Signal Processing 1.8k
- Computational Mathematics 86
- Media Technology 978
Countries citing papers authored by John Langford
This map shows the geographic impact of John Langford'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 John Langford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Langford more than expected).
Fields of papers citing papers by John Langford
This network shows the impact of papers produced by John Langford. 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 John Langford. The network helps show where John Langford may publish in the future.
Co-authors
The 25 scholars most cited alongside John Langford, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Global Geometric Framework for Nonlinear Dimensionality Reduction Hit paper breakdown → | 2000 | 8822 |
| 2 | Telling humans and computers apart automatically Hit paper breakdown → | 2004 | 533 |
| 3 | Feature hashing for large scale multitask learning Hit paper breakdown → | 2009 | 509 |
| 4 | Cover trees for nearest neighbor Hit paper breakdown → | 2006 | 470 |
| 5 | 2004 | 466 | |
| 6 | 2009 | 236 | |
| 7 | Approximately Optimal Approximate Reinforcement Learning | 2002 | 222 |
| 8 | 2006 | 214 | |
| 9 | 2006 | 205 | |
| 10 | The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information | 2007 | 203 |
| 11 | Multi-Label Prediction via Compressed Sensing | 2009 | 186 |
| 12 | The Epoch-Greedy algorithm for contextual multi-armed bandits | 2007 | 169 |
| 13 | 2009 | 167 | |
| 14 | 2006 | 163 | |
| 15 | 2011 | 160 | |
| 16 | Tutorial on Practical Prediction Theory for Classification | 2005 | 147 |
| 17 | 2008 | 143 | |
| 18 | 2011 | 137 | |
| 19 | 1999 | 135 | |
| 20 | 2009 | 113 |
About John Langford
John Langford is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 15.2k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (51 papers), Advanced Bandit Algorithms Research (29 papers), Machine Learning and Data Classification (22 papers), Reinforcement Learning in Robotics (17 papers), Imbalanced Data Classification Techniques (13 papers), Algorithms and Data Compression (12 papers), Data Stream Mining Techniques (7 papers) and Computability, Logic, AI Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.0k citations), Artificial Intelligence (7.2k citations), Signal Processing (1.8k citations), Computational Mathematics (86 citations) and Media Technology (978 citations). John Langford has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joshua B. Tenenbaum, Vin de Silva, Sham M. Kakade, Alina Beygelzimer, Bianca Zadrozny, Naoki Abe, Manuel Blum, Luis von Ahn, Tong Zhang and Alex Smola. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research, Communications of the ACM, International Journal of Rock Mechanics and Mining Sciences and Algorithmica.
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.