Mehryar Mohri
- Artificial Intelligence top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computational Mechanics top 2%
- Co-authors
- Corinna CortesAfshin RostamizadehMichael RileyAmeet TalwalkarFernando PereiraSanjiv KumarYishay MansourCyril Allauzen
- Topics
- Machine Learning and Algorithms (68 papers)Algorithms and Data Compression (44 papers)semigroups and automata theory (36 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Mehryar Mohri
167 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 5.0k
- Computer Vision and Pattern Recognition 1.4k
- Signal Processing 869
- Computational Theory and Mathematics 845
- Computational Mechanics 475
Countries citing papers authored by Mehryar Mohri
This map shows the geographic impact of Mehryar Mohri'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 Mehryar Mohri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehryar Mohri more than expected).
Fields of papers citing papers by Mehryar Mohri
This network shows the impact of papers produced by Mehryar Mohri. 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 Mehryar Mohri. The network helps show where Mehryar Mohri may publish in the future.
Co-authorship network of co-authors of Mehryar Mohri
This figure shows the co-authorship network connecting the top 25 collaborators of Mehryar Mohri. A scholar is included among the top collaborators of Mehryar Mohri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehryar Mohri. Mehryar Mohri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Online Learning with Dependent Stochastic Feedback Graphs | 2 |
| 3 | Online Learning with Sleeping Experts and Feedback Graphs | 5 |
| 4 | 21 | |
| 5 | Region-Based Active Learning | 4 |
| 6 | Competing with automata-based expert sequences | 1 |
| 7 | Logistic Regression: The Importance of Being Improper. | 7 |
| 8 | Online Learning with Transductive Regret | 1 |
| 9 | Time series prediction and online learning | 5 |
| 10 | Accelerating Online Convex Optimization via Adaptive Prediction | 10 |
| 11 | Revenue optimization against strategic buyers | 12 |
| 12 | Structural Maxent Models | 1 |
| 13 | Large-scale SVD and manifold learning | 39 |
| 14 | Spectral Learning of General Weighted Automata via Constrained Matrix Completion | 23 |
| 15 | Sampling methods for the Nyström method | 146 |
| 16 | On the Impact of Kernel Approximation on Learning Accuracy | 73 |
| 17 | Learning Non-Linear Combinations of Kernels | 186 |
| 18 | Rational Kernels: Theory and Algorithms | 88 |
| 19 | Confidence Intervals for the Area Under the ROC Curve | 111 |
| 20 | Generic epsilon -Removal Algorithm for Weighted Automata | 14 |
About Mehryar Mohri
Mehryar Mohri is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 172 papers that have together received 6.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (68 papers), Algorithms and Data Compression (44 papers) and semigroups and automata theory (36 papers). The work is most often cited by research in Artificial Intelligence (5.0k citations), Computational Mathematics (68 citations) and Signal Processing (869 citations). Mehryar Mohri has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Corinna Cortes, Afshin Rostamizadeh, Michael Riley, Ameet Talwalkar, Fernando Pereira, Sanjiv Kumar, Yishay Mansour, Cyril Allauzen, Ananda Theertha Suresh and Vitaly Kuznetsov. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research and Theoretical Computer Science.
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.