Pedro Albarrán

52 total papers · 736 total citations
26 papers, 434 citations indexed

About

Pedro Albarrán is a scholar working on Economics and Econometrics, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Pedro Albarrán has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 7 papers in Statistics, Probability and Uncertainty and 4 papers in Sociology and Political Science. Recurrent topics in Pedro Albarrán's work include scientometrics and bibliometrics research (7 papers), Fiscal Policy and Economic Growth (4 papers) and Labor market dynamics and wage inequality (3 papers). Pedro Albarrán is often cited by papers focused on scientometrics and bibliometrics research (7 papers), Fiscal Policy and Economic Growth (4 papers) and Labor market dynamics and wage inequality (3 papers). Pedro Albarrán collaborates with scholars based in Spain, United States and United Kingdom. Pedro Albarrán's co-authors include Javier Ruiz‐Castillo, Ignacio Ortuño‐Ortín, Juan A. Crespo, Orazio Attanasio, Raquel Carrasco, Adelheid Holl, Antonio Perianes‐Rodríguez, Iñigo Iturbe-Ormaetxe, Maite Martínez‐Granado and Jesús M. Carro and has published in prestigious journals such as Social Science & Medicine, The Economic Journal and Applied Soft Computing.

In The Last Decade

Pedro Albarrán

23 papers receiving 412 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro Albarrán 205 167 64 50 36 26 434
M. Ryan Haley 82 0.4× 79 0.5× 54 0.8× 29 0.6× 20 0.6× 47 397
George B. Shepherd 85 0.4× 127 0.8× 36 0.6× 21 0.4× 37 1.0× 32 371
John Tressler 71 0.3× 179 1.1× 32 0.5× 23 0.5× 16 0.4× 23 373
Tudorel Andrei 71 0.3× 83 0.5× 72 1.1× 81 1.6× 28 0.8× 57 406
Raúl Sierra 31 0.2× 82 0.5× 176 2.8× 49 1.0× 14 0.4× 16 371
Zacharias Maniadis 63 0.3× 153 0.9× 59 0.9× 163 3.3× 19 0.5× 20 435
Paul Wilson 183 0.9× 44 0.3× 57 0.9× 5 0.1× 22 0.6× 23 439
Marcelo Perlin 61 0.3× 177 1.1× 26 0.4× 10 0.2× 25 0.7× 42 422
Michaël Bikard 120 0.6× 159 1.0× 45 0.7× 24 0.5× 213 5.9× 24 493
Laurent Linnemer 48 0.2× 258 1.5× 32 0.5× 41 0.8× 98 2.7× 23 380

Countries citing papers authored by Pedro Albarrán

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Albarrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Albarrán

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Albarrán. A scholar is included among the top collaborators of Pedro Albarrán 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 Pedro Albarrán. Pedro Albarrán 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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