Guy Lebanon
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 2%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
Papers in
-
- Image Retrieval and Classification Techniques 7
- Face and Expression Recognition 6
- Co-authors
- John LaffertyJoonseok LeeYoram SingerKrishnakumar BalasubramanianSeungyeon KimYi MaoJoshua V. DillonMingxuan Sun
- Journals
- Journal of Machine Learning Research (8 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Data Mining and Knowledge Discovery (1 paper)Journal of the Optical Society of America A (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Guy Lebanon
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Computational Mathematics 18
- Artificial Intelligence 667
- Computer Vision and Pattern Recognition 394
- Information Systems 398
- Signal Processing 156
Countries citing papers authored by Guy Lebanon
This map shows the geographic impact of Guy Lebanon'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 Guy Lebanon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Lebanon more than expected).
Fields of papers citing papers by Guy Lebanon
This network shows the impact of papers produced by Guy Lebanon. 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 Guy Lebanon. The network helps show where Guy Lebanon may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Lebanon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | LLORMA: local low-rank matrix approximation | 2016 | 53 |
| 3 | 2015 | 20 | |
| 4 | Ultrahigh Dimensional Feature Screening via RKHS Embeddings | 2013 | 15 |
| 5 | Local Low-Rank Matrix Approximation | 2013 | 94 |
| 6 | PREA: personalized recommendation algorithms toolkit | 2012 | 35 |
| 7 | Chebyshev Approximations to the Histogram $\chi^2$ Kernel | 2012 | 3 |
| 8 | Proceedings of the 21st ACM international conference on Information and knowledge management | 2012 | 13 |
| 9 | Unsupervised Supervised Learning II: Margin-Based Classification Without Labels | 2011 | 6 |
| 10 | Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels | 2010 | 21 |
| 11 | Dimensionality Reduction for Text using Domain Knowledge | 2010 | 10 |
| 12 | 2010 | 11 | |
| 13 | Determining Placement of Intrusion Detectors for a Distributed Application through Bayesian Network Modeling | 2008 | 13 |
| 14 | Non-Parametric Modeling of Partially Ranked Data | 2007 | 21 |
| 15 | The Locally Weighted Bag of Words Framework for Document Representation | 2007 | 35 |
| 16 | 2006 | 81 | |
| 17 | Information Diffusion Kernels | 2002 | 33 |
| 18 | Conditional Models on the Ranking Poset | 2002 | 26 |
| 19 | Cranking: Combining Rankings Using Conditional Probability Models on Permutations | 2002 | 108 |
| 20 | 2001 | 24 |
About Guy Lebanon
Guy Lebanon is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Statistics and Probability, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Image Retrieval and Classification Techniques (7 papers), Face and Expression Recognition (6 papers), Bayesian Modeling and Causal Inference (6 papers), Recommender Systems and Techniques (5 papers), Advanced Text Analysis Techniques (5 papers), Neural Networks and Applications (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Computational Mathematics (18 citations), Artificial Intelligence (667 citations), Computer Vision and Pattern Recognition (394 citations), Information Systems (398 citations) and Signal Processing (156 citations). Guy Lebanon has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include John Lafferty, Joonseok Lee, Yoram Singer, Krishnakumar Balasubramanian, Seungyeon Kim, Yi Mao, Joshua V. Dillon, Mingxuan Sun, Samy Bengio and Seung‐Yeon Kim. Their work appears in journals such as Journal of Machine Learning Research, IEEE Transactions on Visualization and Computer Graphics, Data Mining and Knowledge Discovery, Journal of the Optical Society of America A and Journal of the American Statistical Association.
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.