Alexander Samarov
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Finance top 2%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
-
- Advanced Statistical Methods and Models 10
- Statistical Methods and Inference 9
-
- Spectroscopy and Chemometric Analyses 4
- Co-authors
- Kjell A. Doksum (2 shared papers)Dimitris Bertsimas (1 shared paper)Geoffrey Lauprete (1 shared paper)Probal Chaudhuri (1 shared paper)Liudas Giraitis (2 shared papers)Murad S. Taqqu (1 shared paper)Peter M. Robinson (2 shared papers)Alexandre B. Tsybakov (2 shared papers)
- Journals
- Journal of the American Statistical Association (5 papers)The Annals of Statistics (3 papers)Journal of Time Series Analysis (2 papers)Bernoulli (1 paper)Electronic Journal of Statistics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Alexander Samarov
15 papers receiving 650 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 341
- Finance 265
- Management Science and Operations Research 170
- Statistics, Probability and Uncertainty 75
- Economics and Econometrics 211
Countries citing papers authored by Alexander Samarov
This map shows the geographic impact of Alexander Samarov'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 Alexander Samarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Samarov more than expected).
Fields of papers citing papers by Alexander Samarov
This network shows the impact of papers produced by Alexander Samarov. 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 Alexander Samarov. The network helps show where Alexander Samarov may publish in the future.
Co-authors
The 13 scholars most cited alongside Alexander Samarov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 182 | |
| 2 | 1997 | 174 | |
| 3 | 1995 | 87 | |
| 4 | 1993 | 76 | |
| 5 | 1988 | 46 | |
| 6 | 1997 | 43 | |
| 7 | 2000 | 27 | |
| 8 | 2004 | 22 | |
| 9 | 1993 | 21 | |
| 10 | 2005 | 11 | |
| 11 | 2000 | 10 | |
| 12 | 1985 | 8 | |
| 13 | 1987 | 8 | |
| 14 | 2010 | 2 | |
| 15 | 1985 | 2 |
About Alexander Samarov
Alexander Samarov is a scholar working on Statistics and Probability, Analytical Chemistry, Control and Systems Engineering, Finance and Artificial Intelligence, having authored 15 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (9 papers), Spectroscopy and Chemometric Analyses (4 papers), Control Systems and Identification (3 papers), Financial Risk and Volatility Modeling (3 papers), Neural Networks and Applications (2 papers), Blind Source Separation Techniques (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (341 citations), Finance (265 citations), Management Science and Operations Research (170 citations), Statistics, Probability and Uncertainty (75 citations) and Economics and Econometrics (211 citations). Alexander Samarov has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Kjell A. Doksum, Dimitris Bertsimas, Geoffrey Lauprete, Probal Chaudhuri, Liudas Giraitis, Murad S. Taqqu, Peter M. Robinson, Alexandre B. Tsybakov, Sam Efromovich and Vladimir Spokoiny. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Journal of Time Series Analysis, Bernoulli and Electronic Journal of Statistics.
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.