Nuno Azevedo

14 total papers · 667 total citations
6 papers, 519 citations indexed

About

Nuno Azevedo is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Nuno Azevedo has authored 6 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 4 papers in Economics and Econometrics and 2 papers in General Economics, Econometrics and Finance. Recurrent topics in Nuno Azevedo's work include Stochastic processes and financial applications (4 papers), Economic theories and models (3 papers) and Game Theory and Voting Systems (2 papers). Nuno Azevedo is often cited by papers focused on Stochastic processes and financial applications (4 papers), Economic theories and models (3 papers) and Game Theory and Voting Systems (2 papers). Nuno Azevedo collaborates with scholars based in Portugal, United States and Greece. Nuno Azevedo's co-authors include Maria Joana Soares, Luís Aguiar‐Conraria, Gerhard‐Wilhelm Weber, Luís Madeira and Athanasios N. Yannacopoulos and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Annals of Operations Research and Journal of Computational and Applied Mathematics.

In The Last Decade

Nuno Azevedo

6 papers receiving 494 citations

Hit Papers

Using wavelets to decompo... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nuno Azevedo 426 148 141 58 34 6 519
Tao Zhang 486 1.1× 185 1.3× 175 1.2× 85 1.5× 18 0.5× 9 543
Bernhard Pfaff 255 0.6× 124 0.8× 104 0.7× 32 0.6× 17 0.5× 10 587
Zhonglu Chen 459 1.1× 87 0.6× 116 0.8× 132 2.3× 20 0.6× 15 513
Tong Su 556 1.3× 92 0.6× 167 1.2× 141 2.4× 16 0.5× 13 591
Niyati Bhanja 534 1.3× 240 1.6× 159 1.1× 92 1.6× 30 0.9× 32 575
Mei‐Chu W. Hsiao 372 0.9× 251 1.7× 105 0.7× 140 2.4× 33 1.0× 15 600
William J. Glynn 247 0.6× 81 0.5× 84 0.6× 50 0.9× 31 0.9× 11 520
Junhao Zhong 318 0.7× 57 0.4× 66 0.5× 96 1.7× 19 0.6× 16 455
Xiao Jing Cai 414 1.0× 167 1.1× 149 1.1× 84 1.4× 20 0.6× 10 450
Mehmet Yörükoğlu 339 0.8× 121 0.8× 49 0.3× 107 1.8× 8 0.2× 19 569

Countries citing papers authored by Nuno Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno Azevedo

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

All Works

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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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