Guy Moors

46 papers receiving 1.2k citations

Peers

Guy Moors
Comparison fields: 5 of 121
  • Demography 220
  • Applied Psychology 78
  • Gender Studies 145
  • Management Science and Operations Research 196
  • Statistics and Probability 108
Replace Paul Allison with:
Paul Allison United States
Robert Pryor Australia
Lauress L. Wise United States
Bart Golsteyn Netherlands
David J. Jackson United States
Scott Carrell United States
Edward R. Kemery United States
Jill E. Ellingson United States
Jessica Keeney United States
Tim Kautz United States
Guy Moors relative to Paul Allison United States Paul Allison's profile →
Citations per field
00.5×3.1×
Paul Allison · 1×
Citations per year

Countries citing papers authored by Guy Moors

Since Specialization
Citations

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

Fields of papers citing papers by Guy Moors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Guy Moors, 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 Guy Moors Line = papers co-authored together Guy Moors links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007103
2 201376
3 201471
4 200370
5 201862
6 201161
7 201057
8 200457
9 201154
10 200951
11 199547
12 201345
13 201445
14 201044
15 201143
16 200838
17 200735
18 200333
19 200932
20 200331

About Guy Moors

Guy Moors is a scholar working on Sociology and Political Science, Social Psychology, Demography, Gender Studies and General Health Professions, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (10 papers), Cultural Differences and Values (8 papers), Family Dynamics and Relationships (7 papers), Survey Methodology and Nonresponse (6 papers), Gender, Labor, and Family Dynamics (5 papers), Psychometric Methodologies and Testing (4 papers), Employment and Welfare Studies (4 papers) and Social and Cultural Dynamics (4 papers). The work is most often cited by research in Demography (220 citations), Applied Psychology (78 citations), Gender Studies (145 citations), Management Science and Operations Research (196 citations) and Statistics and Probability (108 citations). Guy Moors has collaborated with scholars based in Netherlands, Belgium and Spain. Frequent co-authors include Miloš Kankaraš, Jeroen K. Vermunt, Ronny Lesthaeghe, Christophe Vanroelen, Katia Levecque, Karen Van Aerden, Éva Bernhardt, Birgit Schyns, Brigitte Kroon and Fred Louckx. Their work appears in journals such as Quality & Quantity, Methodology, Sociological Methods & Research, European Sociological Review and International Journal of Public Opinion Research.

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.

Explore authors with similar magnitude of impact