Christina Patterson

93 total papers · 3.9k total citations
40 papers, 1.6k citations indexed

About

Christina Patterson is a scholar working on Economics and Econometrics, Cognitive Neuroscience and General Economics, Econometrics and Finance. According to data from OpenAlex, Christina Patterson has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 12 papers in Cognitive Neuroscience and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Christina Patterson's work include Fiscal Policy and Economic Growth (8 papers), Face Recognition and Perception (6 papers) and Economic theories and models (6 papers). Christina Patterson is often cited by papers focused on Fiscal Policy and Economic Growth (8 papers), Face Recognition and Perception (6 papers) and Economic theories and models (6 papers). Christina Patterson collaborates with scholars based in United States, United Kingdom and Canada. Christina Patterson's co-authors include John Van Reenen, David Autor, Lawrence F. Katz, David Dorn, Marco Del Negro, Marc Giannoni, Ayşegül Şahin, Toshihiko Mukoyama, Marlene Behrmann and Erez Freud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and American Economic Review.

In The Last Decade

Christina Patterson

37 papers receiving 1.5k citations

Hit Papers

The Fall of the Labor Sha... 2017 2026 2020 2023 2020 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christina Patterson 1.1k 562 213 212 192 40 1.6k
Ádám Szeidl 1.4k 1.3× 811 1.4× 486 2.3× 616 2.9× 304 1.6× 30 2.3k
William Fellner 1.3k 1.1× 733 1.3× 154 0.7× 127 0.6× 263 1.4× 64 2.0k
Olivier Armantier 936 0.8× 537 1.0× 281 1.3× 138 0.7× 370 1.9× 75 1.7k
Ioana Marinescu 958 0.8× 148 0.3× 230 1.1× 102 0.5× 91 0.5× 79 1.5k
Joel Watson 1.2k 1.0× 416 0.7× 169 0.8× 103 0.5× 153 0.8× 55 1.7k
Josef Falkinger 869 0.8× 170 0.3× 229 1.1× 89 0.4× 64 0.3× 68 1.4k
Murray Milgate 997 0.9× 579 1.0× 90 0.4× 104 0.5× 167 0.9× 45 1.5k
Andrew Dickerson 747 0.7× 302 0.5× 255 1.2× 127 0.6× 289 1.5× 45 1.4k
Ian M. McDonald 1.1k 1.0× 451 0.8× 142 0.7× 86 0.4× 62 0.3× 78 1.5k
Christophe Chamley 1.8k 1.6× 391 0.7× 620 2.9× 79 0.4× 322 1.7× 39 2.3k

Countries citing papers authored by Christina Patterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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