Vanesa Jordá

541 total citations
29 papers, 314 citations indexed

About

Vanesa Jordá is a scholar working on Sociology and Political Science, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Vanesa Jordá has authored 29 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 15 papers in Economics and Econometrics and 6 papers in General Economics, Econometrics and Finance. Recurrent topics in Vanesa Jordá's work include Income, Poverty, and Inequality (17 papers), Economic theories and models (8 papers) and Statistical Distribution Estimation and Applications (5 papers). Vanesa Jordá is often cited by papers focused on Income, Poverty, and Inequality (17 papers), Economic theories and models (8 papers) and Statistical Distribution Estimation and Applications (5 papers). Vanesa Jordá collaborates with scholars based in Spain, Finland and United Kingdom. Vanesa Jordá's co-authors include José Marı́a Sarabia, Faustino Prieto, José M. Alonso, Rhys Andrews, Emilio Gómez–Déniz, Miguel Niño‐Zarazúa, Montserrat Guillén, Markus Jäntti, Finn Tarp and Stefan Sperlich and has published in prestigious journals such as World Development, Physica A Statistical Mechanics and its Applications and Journal of Urban Economics.

In The Last Decade

Vanesa Jordá

28 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanesa Jordá Spain 11 139 119 59 45 43 29 314
Christian Schlüter United Kingdom 13 199 1.4× 376 3.2× 34 0.6× 24 0.5× 65 1.5× 45 555
Luca Zanin United Kingdom 12 218 1.6× 66 0.6× 14 0.2× 13 0.3× 67 1.6× 41 396
Bruno Cheli Italy 6 105 0.8× 262 2.2× 13 0.2× 35 0.8× 21 0.5× 16 366
M. Ryan Haley United States 12 80 0.6× 53 0.4× 17 0.3× 123 2.7× 93 2.2× 47 397
Jeff B.Cromwell United States 6 99 0.7× 61 0.5× 21 0.4× 22 0.5× 50 1.2× 7 328
Tue Gørgens Australia 10 121 0.9× 89 0.7× 113 1.9× 20 0.4× 33 0.8× 26 422
Maria Grazia Pittau Italy 12 264 1.9× 227 1.9× 32 0.5× 21 0.5× 13 0.3× 37 539
Nripesh Podder Australia 10 271 1.9× 286 2.4× 27 0.5× 25 0.6× 52 1.2× 19 510
Michal Kolesár United States 9 156 1.1× 69 0.6× 144 2.4× 15 0.3× 42 1.0× 28 417
Christophe Muller Spain 10 258 1.9× 103 0.9× 18 0.3× 9 0.2× 57 1.3× 26 411

Countries citing papers authored by Vanesa Jordá

Since Specialization
Citations

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

Fields of papers citing papers by Vanesa Jordá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanesa Jordá

This figure shows the co-authorship network connecting the top 25 collaborators of Vanesa Jordá. A scholar is included among the top collaborators of Vanesa Jordá 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 Vanesa Jordá. Vanesa Jordá 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.
Jordá, Vanesa, et al.. (2024). The Lifespan Disparity Dataset: An open repository on inequality and polarization in length of life (1950–2021). Scientific Data. 11(1). 650–650. 1 indexed citations
2.
Jordá, Vanesa, José Marı́a Sarabia, & Markus Jäntti. (2021). Inequality Measurement with Grouped Data: Parametric and Non-Parametric Methods. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(3). 964–984. 9 indexed citations
3.
Gómez–Déniz, Emilio, José Marı́a Sarabia, & Vanesa Jordá. (2021). Parametric Lorenz curves based on the beta system of distributions. Communication in Statistics- Theory and Methods. 51(23). 8371–8390. 1 indexed citations
4.
Sarabia, José Marı́a, Faustino Prieto, Vanesa Jordá, & Stefan Sperlich. (2020). A Note on Combining Machine Learning with Statistical Modeling for Financial Data Analysis. Risks. 8(2). 32–32. 2 indexed citations
5.
6.
Sarabia, José Marı́a, Vanesa Jordá, Faustino Prieto, & Montserrat Guillén. (2020). Multivariate Classes of GB2 Distributions with Applications. Mathematics. 9(1). 72–72. 9 indexed citations
7.
Sarabia, José Marı́a & Vanesa Jordá. (2020). Lorenz Surfaces Based on the Sarmanov–Lee Distribution with Applications to Multidimensional Inequality in Well-Being. Mathematics. 8(11). 2095–2095. 3 indexed citations
8.
Alonso, José M., Rhys Andrews, & Vanesa Jordá. (2019). Do neighbourhood renewal programs reduce crime rates? Evidence from England. Journal of Urban Economics. 110. 51–69. 34 indexed citations
9.
Sarabia, José Marı́a, Emilio Gómez–Déniz, Faustino Prieto, & Vanesa Jordá. (2018). Aggregation of Dependent Risks in Mixtures of Exponential Distributions and Extensions. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 19 indexed citations
10.
Sarabia, José Marı́a, et al.. (2016). The Theil Indices in Parametric Families of Income Distributions—A Short Review. Review of Income and Wealth. 63(4). 867–880. 24 indexed citations
11.
Jordá, Vanesa & Miguel Niño‐Zarazúa. (2016). Global Inequality: How Large is the Effect of Top Incomes?. SSRN Electronic Journal. 1 indexed citations
12.
Sarabia, José Marı́a, Emilio Gómez–Déniz, Faustino Prieto, & Vanesa Jordá. (2016). Risk aggregation in multivariate dependent Pareto distributions. Insurance Mathematics and Economics. 71. 154–163. 22 indexed citations
13.
Sarabia, José Marı́a, Faustino Prieto, & Vanesa Jordá. (2015). About the hyperbolic Lorenz curve. Economics Letters. 136. 42–45. 6 indexed citations
14.
Jordá, Vanesa & José Marı́a Sarabia. (2014). International Convergence in Well-Being Indicators. Social Indicators Research. 120(1). 1–27. 36 indexed citations
15.
Sarabia, José Marı́a, Faustino Prieto, & Vanesa Jordá. (2014). Bivariate beta-generated distributions with applications to well-being data. UCrea (University of Cantabria). 1(1). 15–15. 24 indexed citations
16.
Sarabia, José Marı́a, et al.. (2014). The Lamé class of Lorenz curves. Communication in Statistics- Theory and Methods. 46(11). 5311–5326. 10 indexed citations
17.
Jordá, Vanesa, et al.. (2014). Evolution of global inequality in human well-being: a sensitivity analysis. International Journal of Computational Economics and Econometrics. 5(1). 108–108. 2 indexed citations
18.
Sarabia, José Marı́a & Vanesa Jordá. (2014). Explicit expressions of the Pietra index for the generalized function for the size distribution of income. Physica A Statistical Mechanics and its Applications. 416. 582–595. 21 indexed citations
19.
Jordá, Vanesa & José Marı́a Sarabia. (2014). Well-Being Distribution in the Globalization Era: 30 Years of Convergence. Applied Research in Quality of Life. 10(1). 123–140. 24 indexed citations
20.
Jordá, Vanesa, et al.. (2013). Assessing Global Inequality in Well-being Using Generalized Entropy Measures. Procedia Economics and Finance. 5. 361–367. 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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