Lorenzo Ductor
- Economics and Econometrics top 2%
- Information Systems top 5%
- Statistics, Probability and Uncertainty top 2%
- General Economics, Econometrics and Finance top 5%
- Accounting top 10%
- Co-authors
- Daryna GrechynaDanilo Leiva‐LeónM.J. HerreríasMarco van der LeijSanjeev GoyalMarcel FafchampsYann BramoulléBauke Visser
- Topics
- scientometrics and bibliometrics research (6 papers)Global Financial Crisis and Policies (4 papers)Corporate Finance and Governance (4 papers)
- Cited by
- Statistics, Probability and UncertaintyEconomics and EconometricsGeneral Economics, Econometrics and Finance
- Partner nations
- SpainUnited KingdomNetherlands
In The Last Decade
Lorenzo Ductor
19 papers receiving 724 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Economics and Econometrics 448
- Information Systems 129
- Statistics, Probability and Uncertainty 127
- General Economics, Econometrics and Finance 112
- Accounting 108
Countries citing papers authored by Lorenzo Ductor
This map shows the geographic impact of Lorenzo Ductor'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 Lorenzo Ductor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Ductor more than expected).
Fields of papers citing papers by Lorenzo Ductor
This network shows the impact of papers produced by Lorenzo Ductor. 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 Lorenzo Ductor. The network helps show where Lorenzo Ductor may publish in the future.
Co-authorship network of co-authors of Lorenzo Ductor
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Ductor. A scholar is included among the top collaborators of Lorenzo Ductor 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 Lorenzo Ductor. Lorenzo Ductor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 93 | |
| 8 | 6 | |
| 9 | Why are connections to editorial board members of economics journals valuable | 1 |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 48 | |
| 14 | 4 | |
| 15 | Financial development, real sector, and economic growthbreakdown → | 219 |
| 16 | Global Business Cycles Interdependence: Dynamics and Determinants ∗ | 2 |
| 17 | 156 | |
| 18 | 66 | |
| 19 | 13 | |
| 20 | 12 |
About Lorenzo Ductor
Lorenzo Ductor is a scholar working on Statistics, Probability and Uncertainty, General Economics, Econometrics and Finance and Finance, having authored 21 papers that have together received 753 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (6 papers), Global Financial Crisis and Policies (4 papers) and Corporate Finance and Governance (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (127 citations), Economics and Econometrics (448 citations) and General Economics, Econometrics and Finance (112 citations). Lorenzo Ductor has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Daryna Grechyna, Danilo Leiva‐León, M.J. Herrerías, Marco van der Leij, Sanjeev Goyal, Marcel Fafchamps, Yann Bramoullé and Bauke Visser. Their work appears in journals such as The Review of Economics and Statistics, Energy Economics and Journal of International 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.