Fernando Sanz

959 total citations
54 papers, 695 citations indexed

About

Fernando Sanz is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Political Science and International Relations. According to data from OpenAlex, Fernando Sanz has authored 54 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Economics and Econometrics, 15 papers in General Economics, Econometrics and Finance and 8 papers in Political Science and International Relations. Recurrent topics in Fernando Sanz's work include Regional Economics and Spatial Analysis (27 papers), Spatial and Panel Data Analysis (15 papers) and Global trade and economics (14 papers). Fernando Sanz is often cited by papers focused on Regional Economics and Spatial Analysis (27 papers), Spatial and Panel Data Analysis (15 papers) and Global trade and economics (14 papers). Fernando Sanz collaborates with scholars based in Spain, United Kingdom and United States. Fernando Sanz's co-authors include Daniel Arribas‐Bel, Rafael González‐Val, Arturo Ramos, Fernando Pueyo, Antonio Montañés, Sergio Llorente, Carlos Sagüés, Ángel Antonio Martı́nez, Juan J. Rodrigo and José María Gil Roig and has published in prestigious journals such as The Review of Economics and Statistics, IEEE Transactions on Industry Applications and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Fernando Sanz

54 papers receiving 619 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Sanz Spain 14 450 120 106 87 65 54 695
Eckhardt Bode Germany 11 394 0.9× 68 0.6× 57 0.5× 77 0.9× 69 1.1× 28 557
Jordi Martí‐Henneberg Spain 14 166 0.4× 118 1.0× 176 1.7× 41 0.5× 74 1.1× 39 521
Michał Gluszak Poland 14 374 0.8× 47 0.4× 63 0.6× 79 0.9× 43 0.7× 59 609
Qin Cheng-lin China 9 232 0.5× 189 1.6× 203 1.9× 61 0.7× 53 0.8× 24 583
Marco Gonzalez-Navarro United States 10 214 0.5× 35 0.3× 88 0.8× 100 1.1× 136 2.1× 18 639
Yoshitsugu Kanemoto Japan 15 636 1.4× 66 0.6× 180 1.7× 29 0.3× 57 0.9× 37 804
Weiyang Zhang China 13 222 0.5× 41 0.3× 220 2.1× 121 1.4× 71 1.1× 30 600
Leo Sveikauskas United States 13 748 1.7× 302 2.5× 41 0.4× 26 0.3× 58 0.9× 20 972
Peter Abelson Australia 14 414 0.9× 56 0.5× 40 0.4× 38 0.4× 86 1.3× 69 639
Rafal Raciborski United States 9 290 0.6× 59 0.5× 29 0.3× 39 0.4× 102 1.6× 12 490

Countries citing papers authored by Fernando Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Sanz. A scholar is included among the top collaborators of Fernando Sanz 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 Fernando Sanz. Fernando Sanz 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
1.
González‐Val, Rafael, et al.. (2024). A long-term, regional-level analysis of Zipf's and Gibrat's laws in the United States. Cities. 149. 104946–104946. 3 indexed citations
2.
Ramos, Arturo, et al.. (2021). Log-growth rates of CO2: An empirical analysis. Physica A Statistical Mechanics and its Applications. 588. 126550–126550. 7 indexed citations
3.
Ramos, Arturo, et al.. (2020). Is there a universal parametric city size distribution? Empirical evidence for 70 countries. The Annals of Regional Science. 65(3). 727–741. 9 indexed citations
4.
González‐Val, Rafael, et al.. (2015). Size distributions for all cities: Which one is best?. Papers of the Regional Science Association. 94(1). 177–197. 39 indexed citations
5.
Sanz, Fernando, et al.. (2009). The home market effect in the Spanish industry, 1965–1995. The Annals of Regional Science. 46(2). 379–396. 4 indexed citations
6.
Pueyo, Fernando, et al.. (2004). The provision of public services and industrial location. Annals of Economics and Statistics. 181–197. 1 indexed citations
7.
Sanz, Fernando, et al.. (2004). LA DISTRIBUCIÓN DEL TAMAÑO DE LAS CIUDADES EN ESPAÑA, 1900-1999 *. Revista de economía aplicada. 12(34). 5–16. 11 indexed citations
8.
Montañés, Antonio, et al.. (2002). Changing the economic landscape: The phenomenon of regional inversion in the US manufacturing sector. Papers of the Regional Science Association. 81(4). 461–482. 2 indexed citations
9.
Montañés, Antonio, et al.. (2002). Changing the economic landscape: The phenomenon of regional inversion in the US manufacturing sector. Papers of the Regional Science Association. 81(4). 461–482. 6 indexed citations
10.
Sanz, Fernando, et al.. (2001). Multiple equilibria, stability, and asymmetries in Krugman's core‐periphery model. Papers of the Regional Science Association. 80(4). 425–438. 6 indexed citations
11.
Pueyo, Fernando, et al.. (2001). The Public Sector and Core-Periphery Models. Urban Studies. 38(10). 1639–1649. 12 indexed citations
12.
Sanz, Fernando. (2000). A Kalman filter-gravity equation approach to assess the trade impact of economic integration..... 136(1). 84. 3 indexed citations
13.
Martı́nez, Ángel Antonio, Fernando Sanz, & Juan J. Rodrigo. (2000). Asymmetrical bilateral traumatic hip dislocation with ipsilateral acetabular fracture. Journal of Orthopaedic Science. 5(3). 307–309. 27 indexed citations
14.
Sanz, Fernando, et al.. (1999). La investigación en economía en España: mercado nacional ¿versus? mercado internacional. Revista de economía aplicada. 7(20). 167–187. 13 indexed citations
15.
Sanz, Fernando, et al.. (1999). Producción científica en economía según publicaciones en revistas internacionales: el caso de España. Papeles de economía española. 24(81). 49–57. 9 indexed citations
16.
Sanz, Fernando. (1994). Integración en Europa y déficit comercial (1986-1990): Una estimación. Revista de economía aplicada. 2(5). 5–26. 3 indexed citations
17.
Sanz, Fernando, et al.. (1991). Flujos bilaterales de comercio internacional, ecuación de gravedad y forma funcional. 8(2). 331–348. 1 indexed citations
18.
Sanz, Fernando, et al.. (1991). Las importaciones españolas de manufacturas y la integración en la CEE. Investigación Económica. 15(1). 121–142. 4 indexed citations
19.
Sanz, Fernando, et al.. (1990). Flujos españoles de comercio internacional y ecuación de gravedad: Una aplicación para el período 1960-1985. Investigación Económica. 14(3). 425–456. 3 indexed citations
20.
Sanz, Fernando, et al.. (1989). Flujos bilaterales de comercio internacional, ecuación de gravedad y teoría Heckscher-Ohlin. Investigación Económica. 13(1). 155–166. 5 indexed citations

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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