Gerdie Everaert

1.4k citations
35 papers · 933 · h-index 16

Impact in

Papers in

Gerdie Everaert

35 papers receiving 862 citations

Peers

Gerdie Everaert
Comparison fields: 5 of 64
  • General Economics, Econometrics and Finance 399
  • Economics and Econometrics 752
  • Finance 176
  • Accounting 79
  • Development 16
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Alexandru Minea France
Mark W. Frank United States
Oluwole Owoye United States
Tomás del Barrio Castro Spain
Marcelo Reyes Spain
Gulasekaran Rajaguru Australia
Emmanuel Anoruo United States
Olugbenga A. Onafowora United States
Henry Thompson United States
Kazuhiko Hayakawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gerdie Everaert

Since Specialization
Citations

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

Fields of papers citing papers by Gerdie Everaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Gerdie Everaert, 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 Gerdie Everaert Line = papers co-authored together Gerdie Everaert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 2005132
3 201481
4 200064
5 201561
6 201237
7 200537
8 200232
9 201631
10 200128
11 200120
12 201719
13 201419
14 200419
15 201916
16 200816
17 201115
18 201315
19 201414
20 201214

About Gerdie Everaert

Gerdie Everaert is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Political Science and International Relations and General Health Professions, having authored 35 papers that have together received 933 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (21 papers), Fiscal Policy and Economic Growth (18 papers), Economic Growth and Productivity (8 papers), Spatial and Panel Data Analysis (7 papers), Economic Policies and Impacts (6 papers), Labor market dynamics and wage inequality (6 papers), Global Financial Crisis and Policies (5 papers) and Italy: Economic History and Contemporary Issues (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (399 citations), Economics and Econometrics (752 citations), Finance (176 citations), Accounting (79 citations) and Development (16 citations). Gerdie Everaert has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Lorenzo Pozzi, Maarten Dossche, Freddy Heylen, Ilse Ruyssen, Tino Berger, Glenn Rayp, Markus Eberhardt and Vasilis Sarafidis. Their work appears in journals such as Journal of Applied Econometrics, Journal of Economic Dynamics and Control, Economic Modelling, Empirical Economics and Econometric Reviews.

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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