Alexander Samarov

1.2k citations
15 papers · 710 · h-index 11

Impact in

    • 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

Alexander Samarov

15 papers receiving 641 citations

Peers

Alexander Samarov
Comparison fields: 5 of 69
  • Statistics and Probability 337
  • Finance 264
  • Management Science and Operations Research 168
  • Statistics, Probability and Uncertainty 73
  • Economics and Econometrics 210
Replace Mary Ellen Bock with:
Mary Ellen Bock United States
Piotr Jaworski Poland
Oscar H. Bustos Brazil
Taras Bodnar Germany
Graciela González–Farías Mexico
Raoul LePage United States
James D. Broffitt United States
D. A. Hsu United States
Gregory Rice Canada
Siegfried Hörmann United States
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Citations per field
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Mary Ellen Bock · 1×
Citations per year

Countries citing papers authored by Alexander Samarov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alexander Samarov Line = papers co-authored together Alexander Samarov links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2003182
2 1997170
3 199586
4 199375
5 198846
6 199743
7 200026
8 200421
9 199320
10 200511
11 200010
12 19858
13 19878
14 20102
15 19852

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 710 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), Financial Risk and Volatility Modeling (3 papers), Control Systems and Identification (3 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Statistical Process Monitoring (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistics and Probability (337 citations), Finance (264 citations), Management Science and Operations Research (168 citations), Statistics, Probability and Uncertainty (73 citations) and Economics and Econometrics (210 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, Murad S. Taqqu, Peter M. Robinson, Liudas Giraitis, 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, Electronic Journal of Statistics and Journal of Economic Dynamics and Control.

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.

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