Vanesa Jordá
- Economics and Econometrics top 10%
- Sociology and Political Science top 10%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Finance top 10%
- Co-authors
- José Marı́a SarabiaFaustino PrietoJosé M. AlonsoEmilio Gómez–DénizRhys AndrewsMiguel Niño‐ZarazúaMontserrat GuillénMarkus Jäntti
- Topics
- Income, Poverty, and Inequality (17 papers)Economic theories and models (8 papers)Statistical Distribution Estimation and Applications (5 papers)
- Journals
- World DevelopmentPhysica A Statistical Mechanics and its ApplicationsJournal of Urban Economics
- Partner nations
- SpainFinlandUnited Kingdom
In The Last Decade
Vanesa Jordá
28 papers receiving 293 citations
Peers
Comparison fields: 5 of 73
- Economics and Econometrics 139
- Sociology and Political Science 119
- Statistics and Probability 59
- Management Science and Operations Research 45
- Finance 43
Countries citing papers authored by Vanesa Jordá
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | Aggregation of Dependent Risks in Mixtures of Exponential Distributions and Extensions | 19 |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 36 | |
| 15 | 24 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 5 |
About Vanesa Jordá
Vanesa Jordá is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Economics and Econometrics, having authored 29 papers that have together received 314 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (17 papers), Economic theories and models (8 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (59 citations), Economics and Econometrics (139 citations) and Finance (43 citations). Vanesa Jordá has collaborated with scholars based in Spain, Finland and United Kingdom. Frequent co-authors include José Marı́a Sarabia, Faustino Prieto, José M. Alonso, Emilio Gómez–Déniz, Rhys Andrews, Miguel Niño‐Zarazúa, Montserrat Guillén, Markus Jäntti, Stefan Sperlich and Finn Tarp. Their work appears in journals such as World Development, Physica A Statistical Mechanics and its Applications and Journal of Urban Economics.
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.