Vladimir Vovk
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.5%
- Computational Theory and Mathematics top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Alex GammermanGlenn ShaferCraig SaundersVladimir VapnikHarris PapadopoulosIlia NouretdinovRuodu WangA. P. Dawid
- Topics
- Computability, Logic, AI Algorithms (35 papers)Machine Learning and Algorithms (32 papers)Neural Networks and Applications (17 papers)
- Cited by
- Statistics and ProbabilityArtificial IntelligenceManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageBiometrika
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Vladimir Vovk
126 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 2.3k
- Management Science and Operations Research 697
- Statistics and Probability 672
- Computational Theory and Mathematics 550
- Computer Vision and Pattern Recognition 533
Countries citing papers authored by Vladimir Vovk
This map shows the geographic impact of Vladimir Vovk'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 Vladimir Vovk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Vovk more than expected).
Fields of papers citing papers by Vladimir Vovk
This network shows the impact of papers produced by Vladimir Vovk. 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 Vladimir Vovk. The network helps show where Vladimir Vovk may publish in the future.
Co-authorship network of co-authors of Vladimir Vovk
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Vovk. A scholar is included among the top collaborators of Vladimir Vovk 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 Vladimir Vovk. Vladimir Vovk 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 | 1 | |
| 3 | Alexey Chervonenkis's bibliography: introductory comments | 2 |
| 4 | Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications | 84 |
| 5 | 1 | |
| 6 | Inductive conformal predictors in the batch mode | 1 |
| 7 | How to base probability theory on perfect-information games | 0 |
| 8 | 17 | |
| 9 | Testing exchangeability on-line | 38 |
| 10 | Self-calibrating Probability Forecasting | 17 |
| 11 | Inductive Confidence Machines for Regression. | 1 |
| 12 | Transductive Confidence Machines for Pattern Recognition. | 2 |
| 13 | Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. | 20 |
| 14 | 105 | |
| 15 | 12 | |
| 16 | Ridge Regression Confidence Machine | 40 |
| 17 | Transduction with Confidence and Credibility | 85 |
| 18 | Machine-Learning Applications of Algorithmic Randomness | 83 |
| 19 | Ridge Regression Learning Algorithm in Dual Variablesbreakdown → | 542 |
| 20 | Learning by transduction | 159 |
About Vladimir Vovk
Vladimir Vovk is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence, having authored 130 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (35 papers), Machine Learning and Algorithms (32 papers) and Neural Networks and Applications (17 papers). The work is most often cited by research in Statistics and Probability (672 citations), Artificial Intelligence (2.3k citations) and Management Science and Operations Research (697 citations). Vladimir Vovk has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Alex Gammerman, Glenn Shafer, Craig Saunders, Vladimir Vapnik, Harris Papadopoulos, Ilia Nouretdinov, Ruodu Wang, A. P. Dawid, Zhiyuan Luo and Vineeth N Balasubramanian. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Biometrika.
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.