Javier Barbero

1.2k citations
50 papers · 765 · h-index 17

Impact in

Papers in

Javier Barbero

45 papers receiving 733 citations

Peers

Javier Barbero
Comparison fields: 5 of 88
  • General Economics, Econometrics and Finance 219
  • Economics and Econometrics 489
  • Strategy and Management 174
  • Development 37
  • Management Science and Operations Research 82
Replace Daniel Saslavsky with:
Daniel Saslavsky United States
Chandan Sharma India
Bernadette Andréosso-O’Callaghan Ireland
Marco R. Di Tommaso Italy
Elisa Barbieri Italy
Anasuya Raj France
Inmaculada Álvarez Ayuso Spain
Giuseppe Vittucci Marzetti Italy
Dan Peng China
Marcella Nicolini Italy
Javier Barbero relative to Daniel Saslavsky United States Daniel Saslavsky's profile →
Citations per field
00.5×9.1×
Daniel Saslavsky · 1×
Citations per year

Countries citing papers authored by Javier Barbero

Since Specialization
Citations

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

Fields of papers citing papers by Javier Barbero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Barbero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Barbero Line = papers co-authored together Javier Barbero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017147
2 201862
3 202150
4 202043
5 201733
6 201728
7 202126
8 201526
9 202026
10 202126
11 201823
12 201923
13 202121
14 202021
15 201620
16 202219
17 202216
18 202316
19 202011
20 202310

About Javier Barbero

Javier Barbero is a scholar working on Economics and Econometrics, Political Science and International Relations, General Economics, Econometrics and Finance, Management Science and Operations Research and Strategy and Management, having authored 50 papers that have together received 765 indexed citations. Recurring topics across this work include Regional Development and Policy (12 papers), Regional Economics and Spatial Analysis (12 papers), Global trade and economics (10 papers), Economic Growth and Productivity (9 papers), Fiscal Policy and Economic Growth (8 papers), Efficiency Analysis Using DEA (8 papers), Spatial and Panel Data Analysis (5 papers) and Regional resilience and development (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (219 citations), Economics and Econometrics (489 citations), Strategy and Management (174 citations), Development (37 citations) and Management Science and Operations Research (82 citations). Javier Barbero has collaborated with scholars based in Spain, Netherlands and Belgium. Frequent co-authors include José L. Zofío, Inmaculada Álvarez Ayuso, Ernesto Rodríguez‐Crespo, Andrés Rodríguez‐Pose, Jon Mikel Zabala‐Iturriagagoitia, Simone Salotti, Juan de Lucio, Damiaan Persyn, Charles Edquist and Juan Aparicio. Their work appears in journals such as Regional Studies, Economic Modelling, Journal of Statistical Software, The Annals of Regional Science and Journal of Regional Science.

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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