Alberto Martín-Utrera

19 total papers · 566 total citations
13 papers, 333 citations indexed

About

Alberto Martín-Utrera is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Alberto Martín-Utrera has authored 13 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 6 papers in Management Science and Operations Research and 6 papers in Economics and Econometrics. Recurrent topics in Alberto Martín-Utrera's work include Financial Markets and Investment Strategies (11 papers), Risk and Portfolio Optimization (5 papers) and Stochastic processes and financial applications (4 papers). Alberto Martín-Utrera is often cited by papers focused on Financial Markets and Investment Strategies (11 papers), Risk and Portfolio Optimization (5 papers) and Stochastic processes and financial applications (4 papers). Alberto Martín-Utrera collaborates with scholars based in United Kingdom, United States and Spain. Alberto Martín-Utrera's co-authors include Victor DeMiguel, Francisco J. Nogales, Raman Uppal, Sicong Li, Ingmar Nolte, Sandra Nolte and Harald Lohre and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Review of Financial Studies.

In The Last Decade

Alberto Martín-Utrera

12 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Alberto Martín-Utrera 285 153 146 59 53 13 333
Matti Koivu 140 0.5× 181 1.2× 129 0.9× 36 0.6× 31 0.6× 21 324
Martín Egozcue 219 0.8× 179 1.2× 203 1.4× 21 0.4× 27 0.5× 39 368
Gaëlle Le Fol 255 0.9× 66 0.4× 167 1.1× 74 1.3× 40 0.8× 18 308
Almira Biglova 300 1.1× 265 1.7× 160 1.1× 49 0.8× 21 0.4× 14 368
Quan Gan 196 0.7× 51 0.3× 237 1.6× 27 0.5× 59 1.1× 24 353
Thomas Breuer 178 0.6× 104 0.7× 126 0.9× 60 1.0× 36 0.7× 33 370
Christian Bluhm 313 1.1× 51 0.3× 119 0.8× 23 0.4× 116 2.2× 7 375
Pavel A. Stoimenov 282 1.0× 56 0.4× 140 1.0× 36 0.6× 53 1.0× 15 369
An-Sing Chen 144 0.5× 269 1.8× 209 1.4× 36 0.6× 21 0.4× 8 372
Christoph Wagner 274 1.0× 51 0.3× 104 0.7× 23 0.4× 102 1.9× 5 331

Countries citing papers authored by Alberto Martín-Utrera

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Martín-Utrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Martín-Utrera. 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 Alberto Martín-Utrera. The network helps show where Alberto Martín-Utrera may publish in the future.

Co-authorship network of co-authors of Alberto Martín-Utrera

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Martín-Utrera. A scholar is included among the top collaborators of Alberto Martín-Utrera 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 Alberto Martín-Utrera. Alberto Martín-Utrera 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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