Ya. Yu. Nikitin
- Statistics and Probability top 0.5%
- Finance top 2%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Mathematical Physics top 5%
- Co-authors
- Joseph L. GastwirthAlexander I. NazarovEnzo OrsingherNorbert HenzeLuisa BeghinPier Luigi ContiMikhail LifshitsAlexander Goncharov
- Topics
- Statistical Methods and Inference (23 papers)Statistical Distribution Estimation and Applications (23 papers)Financial Risk and Volatility Modeling (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTransactions of the American Mathematical Society
In The Last Decade
Ya. Yu. Nikitin
67 papers receiving 714 citations
Peers
Comparison fields: 5 of 56
- Statistics and Probability 532
- Finance 286
- Management Science and Operations Research 161
- Artificial Intelligence 142
- Mathematical Physics 132
Countries citing papers authored by Ya. Yu. Nikitin
This map shows the geographic impact of Ya. Yu. Nikitin'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 Ya. Yu. Nikitin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya. Yu. Nikitin more than expected).
Fields of papers citing papers by Ya. Yu. Nikitin
This network shows the impact of papers produced by Ya. Yu. Nikitin. 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 Ya. Yu. Nikitin. The network helps show where Ya. Yu. Nikitin may publish in the future.
Co-authorship network of co-authors of Ya. Yu. Nikitin
This figure shows the co-authorship network connecting the top 25 collaborators of Ya. Yu. Nikitin. A scholar is included among the top collaborators of Ya. Yu. Nikitin 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 Ya. Yu. Nikitin. Ya. Yu. Nikitin 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 35 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | Efficiency and local optimality of nonparametric tests based on U- and V-statistics | 16 |
| 13 | Watson-type goodness-of-fit tests based on the integrated empirical process. Mathematical Methods of Statistics | 2 |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 11 | |
| 17 | Scale-Invariant Test of Normality Based on Polya's Characterization | 8 |
| 18 | 139 | |
| 19 | 2 | |
| 20 | 5 |
About Ya. Yu. Nikitin
Ya. Yu. Nikitin is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 76 papers that have together received 800 indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Statistical Distribution Estimation and Applications (23 papers) and Financial Risk and Volatility Modeling (22 papers). The work is most often cited by research in Statistics and Probability (532 citations), Finance (286 citations) and Mathematical Physics (132 citations). Ya. Yu. Nikitin has collaborated with scholars based in Russia, Italy and Greece. Frequent co-authors include Joseph L. Gastwirth, Alexander I. Nazarov, Enzo Orsingher, Norbert Henze, Luisa Beghin, Pier Luigi Conti, Mikhail Lifshits, Alexander Goncharov, Sergei Abramovich and M Obradović. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Transactions of the American Mathematical Society.
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.