Christina Patterson
- Economics and Econometrics top 0.5%
- General Economics, Econometrics and Finance top 1%
- Accounting top 5%
- Strategy and Management top 5%
- Finance top 5%
- Co-authors
- John Van ReenenDavid AutorDavid DornLawrence F. KatzMarco Del NegroMarc GiannoniAyşegül ŞahinToshihiko Mukoyama
- Topics
- Fiscal Policy and Economic Growth (8 papers)Face Recognition and Perception (6 papers)Economic theories and models (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceAmerican Economic Review
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christina Patterson
37 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Economics and Econometrics 1.2k
- General Economics, Econometrics and Finance 567
- Accounting 216
- Strategy and Management 215
- Finance 195
Countries citing papers authored by Christina Patterson
This map shows the geographic impact of Christina Patterson'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 Christina Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Patterson more than expected).
Fields of papers citing papers by Christina Patterson
This network shows the impact of papers produced by Christina Patterson. 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 Christina Patterson. The network helps show where Christina Patterson may publish in the future.
Co-authorship network of co-authors of Christina Patterson
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Patterson. A scholar is included among the top collaborators of Christina Patterson 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 Christina Patterson. Christina Patterson 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | The Fall of the Labor Share and the Rise of Superstar Firms*breakdown → | 947 |
| 17 | 6 | |
| 18 | 15 | |
| 19 | 27 | |
| 20 | Concentrating on the Fall of the Labor Sharebreakdown → | 272 |
About Christina Patterson
Christina Patterson is a scholar working on General Economics, Econometrics and Finance, Cognitive Neuroscience and Economics and Econometrics, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (8 papers), Face Recognition and Perception (6 papers) and Economic theories and models (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (567 citations), Economics and Econometrics (1.2k citations) and Finance (195 citations). Christina Patterson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John Van Reenen, David Autor, David Dorn, Lawrence F. Katz, Marco Del Negro, Marc Giannoni, Ayşegül Şahin, Toshihiko Mukoyama, Marlene Behrmann and Erez Freud. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and American Economic Review.
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.