Marco Bee

794 total citations
53 papers, 457 citations indexed

About

Marco Bee is a scholar working on Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Marco Bee has authored 53 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Finance, 23 papers in Economics and Econometrics and 22 papers in Statistics and Probability. Recurrent topics in Marco Bee's work include Financial Risk and Volatility Modeling (22 papers), Statistical Methods and Inference (13 papers) and Statistical Distribution Estimation and Applications (11 papers). Marco Bee is often cited by papers focused on Financial Risk and Volatility Modeling (22 papers), Statistical Methods and Inference (13 papers) and Statistical Distribution Estimation and Applications (11 papers). Marco Bee collaborates with scholars based in Italy, Belgium and Canada. Marco Bee's co-authors include Stefano Schiavo, Massimo Riccaboni, Giuseppe Espa, Debbie J. Dupuis, Roberto Benedetti, Giuseppe Arbia, M. Manfredi, Mauro Cozzani, Sabrina Mutinelli and Nikolai Leonenko and has published in prestigious journals such as Neurobiology of Aging, Physica A Statistical Mechanics and its Applications and Economics Letters.

In The Last Decade

Marco Bee

51 papers receiving 439 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Bee Italy 12 202 136 87 59 48 53 457
Nikolay Robinzonov Germany 5 94 0.5× 74 0.5× 63 0.7× 48 0.8× 55 1.1× 8 324
Gerd Ronning Germany 8 121 0.6× 53 0.4× 105 1.2× 83 1.4× 35 0.7× 32 398
Wei Lan China 12 114 0.6× 66 0.5× 131 1.5× 47 0.8× 26 0.5× 54 392
Sophia Zhengzi Li United States 9 364 1.8× 477 3.5× 35 0.4× 40 0.7× 105 2.2× 21 628
Alex Lenkoski Germany 12 125 0.6× 46 0.3× 135 1.6× 140 2.4× 20 0.4× 17 665
Kuo‐Jung Lee Taiwan 8 115 0.6× 107 0.8× 52 0.6× 36 0.6× 27 0.6× 28 266
Manuel Ferreira Portugal 7 122 0.6× 131 1.0× 15 0.2× 13 0.2× 172 3.6× 165 521

Countries citing papers authored by Marco Bee

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Bee

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Bee. A scholar is included among the top collaborators of Marco Bee 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 Marco Bee. Marco Bee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bee, Marco. (2024). A parsimonious dynamic mixture for heavy-tailed distributions. Mathematics and Computers in Simulation. 230. 193–206.
2.
Bee, Marco, et al.. (2023). Machine learning techniques for default prediction: an application to small Italian companies. Risk Management. 26(1). 3 indexed citations
3.
Bee, Marco. (2023). Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance. Computational Statistics & Data Analysis. 185. 107764–107764. 3 indexed citations
4.
Bee, Marco. (2022). On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach. Advances in Data Analysis and Classification. 18(2). 251–269. 5 indexed citations
5.
Bee, Marco, et al.. (2022). Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination?. Risks. 10(9). 169–169. 19 indexed citations
6.
Bee, Marco, et al.. (2022). Some analytical results on bivariate stable distributions with an application in operational risk. Quantitative Finance. 22(7). 1355–1369. 1 indexed citations
7.
Bee, Marco, et al.. (2018). Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review. Risks. 6(2). 45–45. 11 indexed citations
8.
Arbia, Giuseppe, et al.. (2017). Fitting spatial regressions to large datasets using unilateral approximations. Communication in Statistics- Theory and Methods. 47(1). 222–238. 4 indexed citations
9.
Lattante, Serena, Maria Grazia Pomponi, Amelia Conte, et al.. (2017). ATXN1 intermediate-length polyglutamine expansions are associated with amyotrophic lateral sclerosis. Neurobiology of Aging. 64. 157.e1–157.e5. 31 indexed citations
10.
Bee, Marco & Stefano Schiavo. (2017). Powerless: gains from trade when firm productivity is not Pareto distributed. Review of World Economics. 154(1). 15–45. 6 indexed citations
11.
Arbia, Giuseppe, et al.. (2017). A frequency domain test for isotropy in spatial data models. Spatial Statistics. 21. 262–278. 5 indexed citations
12.
Bee, Marco, et al.. (2015). Realized peaks over threshold: A high-frequency extreme value approach for financial time series. Les Cahiers du GERAD. 1–23. 2 indexed citations
13.
Bee, Marco. (2013). A Maximum Entropy Approach to Loss Distribution Analysis. Entropy. 15(3). 1100–1117. 5 indexed citations
14.
Bee, Marco, Massimo Riccaboni, & Stefano Schiavo. (2011). Pareto versus lognormal: A maximum entropy test. Physical Review E. 84(2). 26104–26104. 23 indexed citations
15.
Taufer, Emanuele, Nikolai Leonenko, & Marco Bee. (2011). Characteristic function estimation of Ornstein–Uhlenbeck-based stochastic volatility models. Computational Statistics & Data Analysis. 55(8). 2525–2539. 11 indexed citations
16.
Benedetti, Roberto, Marco Bee, & Giuseppe Espa. (2010). A framework for cut-off sampling in business survey design. Journal of Official Statistics. 26(4). 651–671. 13 indexed citations
17.
Bee, Marco, et al.. (2010). Influence of anterior tooth alignment on peer perception in 8- to 10-year-old children. European Journal of Orthodontics. 33(2). 155–160. 13 indexed citations
18.
Mutinelli, Sabrina, et al.. (2008). Dental arch changes following rapid maxillary expansion. European Journal of Orthodontics. 30(5). 469–476. 34 indexed citations
19.
Bee, Marco, Roberto Benedetti, & Giuseppe Espa. (2008). Spatial models for flood risk assessment. Environmetrics. 19(7). 725–741. 7 indexed citations
20.
Bee, Marco. (2004). Modelling credit default swap spreads by means of normal mixtures and copulas. Applied Mathematical Finance. 11(2). 125–146. 6 indexed citations

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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