Jeremy Ferwerda
- Sociology and Political Science top 5%
- Economics and Econometrics top 10%
- Political Science and International Relations top 10%
- Clinical Psychology
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Chad HazlettJens HainmuellerCarlos CinelliYusaku HoriuchiDuncan LawrenceJeremy M. WeinsteinDominik HangartnerKirk Bansak
- Topics
- Migration, Refugees, and Integration (6 papers)Migration and Labor Dynamics (5 papers)Migration, Health and Trauma (4 papers)
- Cited by
- Sociology and Political ScienceEconomics and EconometricsPolitical Science and International Relations
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeremy Ferwerda
12 papers receiving 494 citations
Peers
Comparison fields: 5 of 94
- Sociology and Political Science 272
- Economics and Econometrics 123
- Political Science and International Relations 88
- Clinical Psychology 77
- Renewable Energy, Sustainability and the Environment 45
Countries citing papers authored by Jeremy Ferwerda
This map shows the geographic impact of Jeremy Ferwerda'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 Jeremy Ferwerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Ferwerda more than expected).
Fields of papers citing papers by Jeremy Ferwerda
This network shows the impact of papers produced by Jeremy Ferwerda. 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 Jeremy Ferwerda. The network helps show where Jeremy Ferwerda may publish in the future.
Co-authorship network of co-authors of Jeremy Ferwerda
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Ferwerda. A scholar is included among the top collaborators of Jeremy Ferwerda 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 Jeremy Ferwerda. Jeremy Ferwerda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | SENSEMAKR: Stata module to provide sensitivity tools for OLS | 3 |
| 4 | Sensitivity Analysis Tools for Regression Models [R package sensemakr version 0.1.3] | 1 |
| 5 | 97 | |
| 6 | 45 | |
| 7 | 186 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 86 | |
| 11 | 58 | |
| 12 | Comparative Analysis of Cybersecurity Metrics to Develop New Hypotheses | 2 |
About Jeremy Ferwerda
Jeremy Ferwerda is a scholar working on Clinical Psychology, Sociology and Political Science and Statistics and Probability, having authored 12 papers that have together received 522 indexed citations. Recurring topics across this work include Migration, Refugees, and Integration (6 papers), Migration and Labor Dynamics (5 papers) and Migration, Health and Trauma (4 papers). The work is most often cited by research in Sociology and Political Science (272 citations), Economics and Econometrics (123 citations) and Political Science and International Relations (88 citations). Jeremy Ferwerda has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Chad Hazlett, Jens Hainmueller, Carlos Cinelli, Yusaku Horiuchi, Duncan Lawrence, Jeremy M. Weinstein, Dominik Hangartner, Kirk Bansak, D.J. Flynn and Katherine Clayton. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Science Advances.
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.