Konstantin Mishchenko
- Artificial Intelligence
- Computational Mechanics
- Computer Networks and Communications
- Numerical Analysis
- Computational Theory and Mathematics
- Co-authors
- Peter RichtárikDmitry KovalevSamuel HorváthSebastian U. StichLaurent CondatMartin TakáčJérôme MalickFilip Hanzely
- Topics
- Stochastic Gradient Optimization Techniques (12 papers)Sparse and Compressive Sensing Techniques (8 papers)Distributed and Parallel Computing Systems (2 papers)
- Journals
- SIAM Journal on OptimizationJournal of Optimization Theory and ApplicationsOptimization methods & software
- Partner nations
- Saudi ArabiaFranceUnited Kingdom
In The Last Decade
Konstantin Mishchenko
14 papers receiving 85 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 46
- Computational Mechanics 42
- Computer Networks and Communications 17
- Numerical Analysis 16
- Computational Theory and Mathematics 15
Countries citing papers authored by Konstantin Mishchenko
This map shows the geographic impact of Konstantin Mishchenko'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 Konstantin Mishchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin Mishchenko more than expected).
Fields of papers citing papers by Konstantin Mishchenko
This network shows the impact of papers produced by Konstantin Mishchenko. 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 Konstantin Mishchenko. The network helps show where Konstantin Mishchenko may publish in the future.
Co-authorship network of co-authors of Konstantin Mishchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Mishchenko. A scholar is included among the top collaborators of Konstantin Mishchenko 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 Konstantin Mishchenko. Konstantin Mishchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 26 | |
| 10 | Revisiting Stochastic Extragradient | 3 |
| 11 | 99% of Worker-Master Communication in Distributed Optimization Is Not Needed. | 3 |
| 12 | Random Reshuffling: Simple Analysis with Vast Improvements | 2 |
| 13 | 7 | |
| 14 | Better Communication Complexity for Local SGD | 4 |
| 15 | SEGA: Variance Reduction via Gradient Sketching | 4 |
About Konstantin Mishchenko
Konstantin Mishchenko is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis, having authored 15 papers that have together received 86 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (8 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Numerical Analysis (16 citations), Computational Mechanics (42 citations) and Artificial Intelligence (46 citations). Konstantin Mishchenko has collaborated with scholars based in Saudi Arabia, France and United Kingdom. Frequent co-authors include Peter Richtárik, Dmitry Kovalev, Samuel Horváth, Sebastian U. Stich, Laurent Condat, Martin Takáč, Jérôme Malick, Filip Hanzely, Eduard Gorbunov and Franck Iutzeler. Their work appears in journals such as SIAM Journal on Optimization, Journal of Optimization Theory and Applications and Optimization methods & software.
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.