Marco van der Leij
- Economics and Econometrics top 2%
- Finance top 5%
- Statistical and Nonlinear Physics top 5%
- Sociology and Political Science top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Sanjeev GoyalSerafín Martínez-JaramilloSebastian PolednaStefan ThurnerMarcel FafchampsJosé Luis Molina-BorboaCars HommesLorenzo Ductor
- Topics
- Complex Systems and Time Series Analysis (8 papers)Complex Network Analysis Techniques (6 papers)Banking stability, regulation, efficiency (5 papers)
- Partner nations
- NetherlandsUnited KingdomCanada
In The Last Decade
Marco van der Leij
28 papers receiving 793 citations
Peers
Comparison fields: 5 of 78
- Economics and Econometrics 424
- Finance 251
- Statistical and Nonlinear Physics 190
- Sociology and Political Science 132
- Statistics, Probability and Uncertainty 126
Countries citing papers authored by Marco van der Leij
This map shows the geographic impact of Marco van der Leij'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 Marco van der Leij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco van der Leij more than expected).
Fields of papers citing papers by Marco van der Leij
This network shows the impact of papers produced by Marco van der Leij. 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 Marco van der Leij. The network helps show where Marco van der Leij may publish in the future.
Co-authorship network of co-authors of Marco van der Leij
This figure shows the co-authorship network connecting the top 25 collaborators of Marco van der Leij. A scholar is included among the top collaborators of Marco van der Leij 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 Marco van der Leij. Marco van der Leij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 22 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 196 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 68 | |
| 12 | A social network analysis of occupational segregation | 9 |
| 13 | A Simple Test for GARCH Against a Stochastic Volatility Model | 2 |
| 14 | 6 | |
| 15 | The Economics of Networks: theory and empirics | 10 |
| 16 | 10 | |
| 17 | Economics : an emerging small world? | 261 |
| 18 | 25 | |
| 19 | An Emerging Small World | 7 |
| 20 | Modeling and forecasting outliers and level shifts in absolute returns | 1 |
About Marco van der Leij
Marco van der Leij is a scholar working on Finance, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 28 papers that have together received 837 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 papers), Complex Network Analysis Techniques (6 papers) and Banking stability, regulation, efficiency (5 papers). The work is most often cited by research in Finance (251 citations), Statistics, Probability and Uncertainty (126 citations) and Statistical and Nonlinear Physics (190 citations). Marco van der Leij has collaborated with scholars based in Netherlands, United Kingdom and Canada. Frequent co-authors include Sanjeev Goyal, Serafín Martínez-Jaramillo, Sebastian Poledna, Stefan Thurner, Marcel Fafchamps, José Luis Molina-Borboa, Sanjeev Goyal, Cars Hommes, Lorenzo Ductor and Cees Diks. Their work appears in journals such as PLoS ONE, Journal of Political Economy and The Review of Economics and Statistics.
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.