Marco Reale

974 total citations
50 papers, 584 citations indexed

About

Marco Reale is a scholar working on Economics and Econometrics, Finance and Numerical Analysis. According to data from OpenAlex, Marco Reale has authored 50 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 13 papers in Finance and 11 papers in Numerical Analysis. Recurrent topics in Marco Reale's work include Financial Risk and Volatility Modeling (12 papers), Advanced Optimization Algorithms Research (10 papers) and Complex Systems and Time Series Analysis (9 papers). Marco Reale is often cited by papers focused on Financial Risk and Volatility Modeling (12 papers), Advanced Optimization Algorithms Research (10 papers) and Complex Systems and Time Series Analysis (9 papers). Marco Reale collaborates with scholars based in New Zealand, Italy and United Kingdom. Marco Reale's co-authors include Jennifer Brown, C. J. Price, B. L. Robertson, Carl Scarrott, G. Tunnicliffe Wilson, Les Oxley, Håkan Lindström, Ben Darlow, S.L. Goldson and Federico Tomasetto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Marco Reale

44 papers receiving 544 citations

Peers

Marco Reale
Comparison fields: 5 of 105
  • Finance 121
  • Economics and Econometrics 121
  • Artificial Intelligence 112
  • Global and Planetary Change 100
  • Statistics and Probability 66
Replace Pedro Galeano with:
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Ionuţ Florescu United States
J. Koerts Netherlands
Alan M. Polansky United States
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Pedro Galeano Spain View profile →
Citations per field, relative to Marco Reale
Marco Reale · 1×
Citations per year, relative to Marco Reale
Marco Reale · 1×

Countries citing papers authored by Marco Reale

Since Specialization
Citations

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

Fields of papers citing papers by Marco Reale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Reale

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Reale. A scholar is included among the top collaborators of Marco Reale 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 Reale. Marco Reale 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
# Work Indexed citations
1 0
2 2
3 2
4 1
5 5
6 2
7 50
8 1
9 5
10 4
11 3
12
A Hooke and Jeeves—CARTopt hybrid method for nonsmooth optimization
0
13 16
14 13
15 15
16
A New Procedure for Discriminating Between Long Memory and Shifting Means Alternatives
1
17
Long Memory or Structural Breaks in Temperature and Proxy Time Series
2
18
Identification of level shifts in stationary processes
0
19
Finding directed acyclic graphs for vector autoregressions.
6
20
Using graphical modelling in official statistics
3

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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