Laura Gee

1.1k citations
33 papers · 545 · h-index 9

Impact in

Papers in

    • Law, Economics, and Judicial Systems 7
    • Taxation and Compliance Studies 3
    • Labor market dynamics and wage inequality 3
    • Experimental Behavioral Economics Studies 14

Laura Gee

25 papers receiving 513 citations

Peers

Laura Gee
Comparison fields: 5 of 81
  • Safety Research 203
  • General Decision Sciences 33
  • Human-Computer Interaction 58
  • Demography 79
  • Sociology and Political Science 250
Replace Nils Köbis with:
Nils Köbis Germany
Fabio Tufano United Kingdom
Simone Moran Israel
Erika Peterson United States
Tessa Haesevoets Belgium
Julia Müller Germany
Petia Petrova United States
Maria Tomprou United States
Ivan Soraperra Netherlands
Laura Gee relative to Nils Köbis Germany Nils Köbis's profile →
Citations per field
00.5×8.3×
Nils Köbis · 1×
Citations per year

Countries citing papers authored by Laura Gee

Since Specialization
Citations

This map shows the geographic impact of Laura Gee'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 Laura Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Gee more than expected).

Fields of papers citing papers by Laura Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Gee. 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 Laura Gee. The network helps show where Laura Gee may publish in the future.

Co-authors

The 20 scholars most cited alongside Laura Gee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura Gee Line = papers co-authored together Laura Gee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012134
2 201697
3 201891
4 201652
5 201841
6 201735
7 201723
8 201413
9 202011
10 20157
11 20207
12 20225
13 20235
14 20205
15 20154
16 20162
17 20212
18 20182
19
Assortative mating for autistic traits, systemizing, and theory of mind
20211
20 20241

About Laura Gee

Laura Gee is a scholar working on Economics and Econometrics, Safety Research, Sociology and Political Science, Gender Studies and Management Science and Operations Research, having authored 33 papers that have together received 545 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (14 papers), Law, Economics, and Judicial Systems (7 papers), Gender, Labor, and Family Dynamics (6 papers), Auction Theory and Applications (5 papers), Names, Identity, and Discrimination Research (4 papers), Culture, Economy, and Development Studies (4 papers), Taxation and Compliance Studies (3 papers) and Labor market dynamics and wage inequality (3 papers). The work is most often cited by research in Safety Research (203 citations), General Decision Sciences (33 citations), Human-Computer Interaction (58 citations), Demography (79 citations) and Sociology and Political Science (250 citations). Laura Gee has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include James Andreoni, Moira Burke, Jason Jones, Jason Tham, Ann Hill Duin, Christopher J. Fariss, James H. Fowler, Bo Cowgill, Amanda Agan and Gregory DeAngelo. Their work appears in journals such as Games and Economic Behavior, Experimental Economics, Scientific Reports, Management Science and IEEE Transactions on Professional Communication.

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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