Deirdre Giesen

29 total papers · 626 total citations
11 papers, 411 citations indexed

About

Deirdre Giesen is a scholar working on Sociology and Political Science, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Deirdre Giesen has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 3 papers in Statistics and Probability and 2 papers in Management Science and Operations Research. Recurrent topics in Deirdre Giesen's work include Survey Methodology and Nonresponse (5 papers), Census and Population Estimation (2 papers) and Gender, Labor, and Family Dynamics (2 papers). Deirdre Giesen is often cited by papers focused on Survey Methodology and Nonresponse (5 papers), Census and Population Estimation (2 papers) and Gender, Labor, and Family Dynamics (2 papers). Deirdre Giesen collaborates with scholars based in Netherlands, United States and Slovenia. Deirdre Giesen's co-authors include Judith Treas, Barry Schouten, Peter Lugtig, Vera Toepoel, Bella Struminskaya, Paul Brown, Matthijs Kalmijn, Paul A. Smith, Jan van den Brakel and Bart Buelens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marriage and the Family and Public Opinion Quarterly.

In The Last Decade

Deirdre Giesen

10 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Deirdre Giesen 238 155 143 116 93 11 411
Willard Waller 197 0.8× 78 0.5× 190 1.3× 103 0.9× 125 1.3× 10 471
Christine E. Stanik 232 1.0× 75 0.5× 189 1.3× 74 0.6× 84 0.9× 13 374
J. Patrick Schmitt 193 0.8× 52 0.3× 340 2.4× 110 0.9× 89 1.0× 11 446
Michael L. Barnes 155 0.7× 134 0.9× 276 1.9× 118 1.0× 76 0.8× 10 456
Majda T. Thurnher 148 0.6× 53 0.3× 167 1.2× 93 0.8× 93 1.0× 8 399
Monica A. Seff 220 0.9× 36 0.2× 153 1.1× 122 1.1× 95 1.0× 8 464
Helen J. Raschke 270 1.1× 52 0.3× 150 1.0× 119 1.0× 282 3.0× 7 459
Leland J. Axelson 231 1.0× 25 0.2× 105 0.7× 140 1.2× 98 1.1× 22 480
Gregory V. Donnenwerth 220 0.9× 59 0.4× 140 1.0× 54 0.5× 47 0.5× 14 439
K. Vaninadha Rao 216 0.9× 25 0.2× 103 0.7× 67 0.6× 265 2.8× 15 452

Countries citing papers authored by Deirdre Giesen

Since Specialization
Citations

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

Fields of papers citing papers by Deirdre Giesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deirdre Giesen

This figure shows the co-authorship network connecting the top 25 collaborators of Deirdre Giesen. A scholar is included among the top collaborators of Deirdre Giesen 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 Deirdre Giesen. Deirdre Giesen 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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