Spiridon Penev

842 citations
57 papers · 576 · h-index 15

Impact in

Papers in

Spiridon Penev

53 papers receiving 522 citations

Peers

Spiridon Penev
Comparison fields: 5 of 107
  • Statistics and Probability 206
  • Management Science and Operations Research 188
  • Finance 117
  • Statistics, Probability and Uncertainty 42
  • Applied Mathematics 31
Replace Sébastien Van Bellegem with:
Sébastien Van Bellegem Belgium
Jiajuan Liang United States
Haruhiko Ogasawara Japan
Hung Chen Taiwan
Xin Dang United States
Henry R. Neave United Kingdom
S. Ravi India
Jin‐Guan Lin China
Peter Spreij Netherlands
Raja P. Velu United States
Spiridon Penev relative to Sébastien Van Bellegem Belgium Sébastien Van Bellegem's profile →
Citations per field
00.5×3.6×
Sébastien Van Bellegem · 1×
Citations per year

Countries citing papers authored by Spiridon Penev

Since Specialization
Citations

This map shows the geographic impact of Spiridon Penev'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 Spiridon Penev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spiridon Penev more than expected).

Fields of papers citing papers by Spiridon Penev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spiridon Penev. 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 Spiridon Penev. The network helps show where Spiridon Penev may publish in the future.

Co-authors

The 25 scholars most cited alongside Spiridon Penev, 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 Spiridon Penev Line = papers co-authored together Spiridon Penev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199955
2 201640
3 201637
4 202133
5 199731
6 201028
7 200623
8 199123
9 199722
10 200718
11 199818
12 199717
13 200017
14 200116
15 201715
16 200114
17 201214
18 202112
19 201812
20 201612

About Spiridon Penev

Spiridon Penev is a scholar working on Statistics and Probability, Management Science and Operations Research, Finance, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 57 papers that have together received 576 indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (14 papers), Statistical Methods and Bayesian Inference (10 papers), Risk and Portfolio Optimization (8 papers), Image and Signal Denoising Methods (8 papers), Statistical and numerical algorithms (6 papers), Stochastic processes and financial applications (5 papers) and Psychometric Methodologies and Testing (5 papers). The work is most often cited by research in Statistics and Probability (206 citations), Management Science and Operations Research (188 citations), Finance (117 citations), Statistics, Probability and Uncertainty (42 citations) and Applied Mathematics (31 citations). Spiridon Penev has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Tenko Raykov, Darinka Dentcheva, Andrzej Ruszczyński, Peter Hall, Yanan Fan, Pierre Lafaye de Micheaux, Jakub Stoklosa, G. Kerkyacharian, Pierre Del Moral and Dominique Picard. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, European Journal of Operational Research, Structural Equation Modeling A Multidisciplinary Journal, Journal of Multivariate Analysis and Annals of the Institute of Statistical Mathematics.

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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