Katya Scheinberg
Impact in
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
- Matrix Theory and Algorithms
- Optimization and Variational Analysis
Papers in
-
- Advanced Optimization Algorithms Research 29
- Iterative Methods for Nonlinear Equations 8
-
- Sparse and Compressive Sensing Techniques 26
- Co-authors
- Andrew R. Conn (8 shared papers)L. N. Vicente (6 shared papers)Shai Fine (1 shared paper)Donald Goldfarb (9 shared papers)Philippe L. Toint (4 shared papers)Matt Menickelly (4 shared papers)Shiqian Ma (1 shared paper)Coralia Cartis (2 shared papers)
- Journals
- Mathematical Programming (12 papers)SIAM Journal on Optimization (7 papers)IMA Journal of Numerical Analysis (2 papers)Journal of Machine Learning Research (2 papers)Energy (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Katya Scheinberg
52 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Numerical Analysis 1.1k
- Computational Theory and Mathematics 1.1k
- Computational Mathematics 31
- Computational Mechanics 1.0k
- Artificial Intelligence 1.3k
Countries citing papers authored by Katya Scheinberg
This map shows the geographic impact of Katya Scheinberg'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 Katya Scheinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katya Scheinberg more than expected).
Fields of papers citing papers by Katya Scheinberg
This network shows the impact of papers produced by Katya Scheinberg. 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 Katya Scheinberg. The network helps show where Katya Scheinberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Katya Scheinberg, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Introduction to Derivative-Free Optimization Hit paper breakdown → | 2009 | 1146 |
| 2 | Efficient svm training using low-rank kernel representations | 2002 | 388 |
| 3 | 1997 | 162 | |
| 4 | 2012 | 150 | |
| 5 | 2009 | 146 | |
| 6 | 2013 | 114 | |
| 7 | On the convergence of derivative-free methods for unconstrained optimization | 1997 | 108 |
| 8 | 2006 | 90 | |
| 9 | 2017 | 90 | |
| 10 | 1998 | 79 | |
| 11 | 2017 | 67 | |
| 12 | 2010 | 64 | |
| 13 | 2014 | 63 | |
| 14 | 2019 | 62 | |
| 15 | 2020 | 58 | |
| 16 | 2015 | 55 | |
| 17 | 1998 | 55 | |
| 18 | 2008 | 51 | |
| 19 | An Efficient Implementation of an Active Set Method for SVMs | 2006 | 43 |
| 20 | 2012 | 40 |
About Katya Scheinberg
Katya Scheinberg is a scholar working on Numerical Analysis, Computational Mechanics, Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 55 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (29 papers), Sparse and Compressive Sensing Techniques (26 papers), Stochastic Gradient Optimization Techniques (17 papers), Iterative Methods for Nonlinear Equations (8 papers), Matrix Theory and Algorithms (6 papers), Optimization and Variational Analysis (6 papers), Statistical Methods and Inference (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Numerical Analysis (1.1k citations), Computational Theory and Mathematics (1.1k citations), Computational Mathematics (31 citations), Computational Mechanics (1.0k citations) and Artificial Intelligence (1.3k citations). Katya Scheinberg has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Andrew R. Conn, L. N. Vicente, Shai Fine, Donald Goldfarb, Philippe L. Toint, Matt Menickelly, Shiqian Ma, Coralia Cartis, Zhiwei Qin and Afonso S. Bandeira. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, IMA Journal of Numerical Analysis, Journal of Machine Learning Research and Energy.
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.