Justin van de Ven
- Economics and Econometrics top 10%
- Accounting top 10%
- Gender Studies top 10%
- General Health Professions
- Sociology and Political Science
- Co-authors
- John CreedyJames SeftonMartin WealePeter J. LambertSarah VoitchovskyNicolas HéraultFrancisco AzpitarteMatteo Richiardi
- Topics
- Gender, Labor, and Family Dynamics (14 papers)Financial Literacy, Pension, Retirement Analysis (12 papers)demographic modeling and climate adaptation (9 papers)
- Journals
- The Economic JournalJournal of Economic Behavior & OrganizationResearch in Higher Education
- Partner nations
- United KingdomAustraliaSwitzerland
In The Last Decade
Justin van de Ven
24 papers receiving 185 citations
Peers
Comparison fields: 5 of 31
- Economics and Econometrics 120
- Accounting 100
- Gender Studies 65
- General Health Professions 58
- Sociology and Political Science 56
Countries citing papers authored by Justin van de Ven
This map shows the geographic impact of Justin van de Ven'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 Justin van de Ven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin van de Ven more than expected).
Fields of papers citing papers by Justin van de Ven
This network shows the impact of papers produced by Justin van de Ven. 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 Justin van de Ven. The network helps show where Justin van de Ven may publish in the future.
Co-authorship network of co-authors of Justin van de Ven
This figure shows the co-authorship network connecting the top 25 collaborators of Justin van de Ven. A scholar is included among the top collaborators of Justin van de Ven 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 Justin van de Ven. Justin van de Ven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | Modelling myopic responses to policy: an enhancement to the NIBAX model | 1 |
| 14 | 15 | |
| 15 | 50 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 10 |
About Justin van de Ven
Justin van de Ven is a scholar working on Gender Studies, Accounting and Demography, having authored 29 papers that have together received 220 indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (14 papers), Financial Literacy, Pension, Retirement Analysis (12 papers) and demographic modeling and climate adaptation (9 papers). The work is most often cited by research in Accounting (100 citations), Gender Studies (65 citations) and Economics and Econometrics (120 citations). Justin van de Ven has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include John Creedy, James Sefton, Martin Weale, Peter J. Lambert, Sarah Voitchovsky, Nicolas Hérault, Francisco Azpitarte, Matteo Richiardi, Paul S. Noakes and Hielke Buddelmeyer. Their work appears in journals such as The Economic Journal, Journal of Economic Behavior & Organization and Research in Higher Education.
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.