Jessica Daikeler

589 total citations · 1 hit paper
18 papers, 310 citations indexed

About

Jessica Daikeler is a scholar working on Sociology and Political Science, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Jessica Daikeler has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 3 papers in General Health Professions and 3 papers in Economics and Econometrics. Recurrent topics in Jessica Daikeler's work include Survey Methodology and Nonresponse (10 papers), Focus Groups and Qualitative Methods (5 papers) and Privacy, Security, and Data Protection (3 papers). Jessica Daikeler is often cited by papers focused on Survey Methodology and Nonresponse (10 papers), Focus Groups and Qualitative Methods (5 papers) and Privacy, Security, and Data Protection (3 papers). Jessica Daikeler collaborates with scholars based in Germany, United States and Switzerland. Jessica Daikeler's co-authors include Michael Bošnjak, Katja Lozar Manfreda, Henning Silber, Stephanie Eckman, Tobias Gummer, Ruben L. Bach, Débora B. Maehler, Howard Ramos, Bernd Weiß and Katrin Weller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Social Science Computer Review.

In The Last Decade

Jessica Daikeler

15 papers receiving 302 citations

Hit Papers

Web Versus Other Survey Modes: An Updated and Extended Me... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates
    2019 223 citations Jessica Daikeler, Michael Bošnjak et al. Journal of Survey Statistics and Methodology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jessica Daikeler Germany 6 155 54 42 35 32 18 310
Michael Weinhardt Germany 8 91 0.6× 62 1.1× 31 0.7× 17 0.5× 20 0.6× 22 311
Darren Pennay Australia 11 159 1.0× 59 1.1× 106 2.5× 37 1.1× 37 1.2× 22 419
David Sterrett United States 7 223 1.4× 36 0.7× 24 0.6× 34 1.0× 26 0.8× 9 367
Haydar HOŞGÖR Türkiye 10 147 0.9× 66 1.2× 102 2.4× 33 0.9× 31 1.0× 46 306
José de São José Portugal 8 149 1.0× 137 2.5× 41 1.0× 30 0.9× 99 3.1× 25 441
Gabriele Plickert United States 7 168 1.1× 87 1.6× 44 1.0× 30 0.9× 104 3.3× 17 402
Patrick Carter United States 7 84 0.5× 41 0.8× 26 0.6× 58 1.7× 31 1.0× 27 293
Ashley K. Barrett United States 12 146 0.9× 67 1.2× 44 1.0× 9 0.3× 20 0.6× 31 382
Reginald P. Baker Netherlands 3 108 0.7× 31 0.6× 28 0.7× 32 0.9× 21 0.7× 3 212
Lara Carminati Netherlands 6 77 0.5× 78 1.4× 47 1.1× 16 0.5× 15 0.5× 14 325

Countries citing papers authored by Jessica Daikeler

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Daikeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Daikeler

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Daikeler. A scholar is included among the top collaborators of Jessica Daikeler 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 Jessica Daikeler. Jessica Daikeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Silber, Henning, Johannes Breuer, Frederic Gerdon, et al.. (2024). Asking for Traces: A Vignette Study on Acceptability Norms and Personal Willingness to Donate Digital Trace Data. Social Science Computer Review. 43(6). 1196–1221. 2 indexed citations
3.
Daikeler, Jessica, Tobias Gummer, Henning Silber, et al.. (2024). Assessing Data Quality in the Age of Digital Social Research: A Systematic Review. Social Science Computer Review. 43(5). 943–979. 4 indexed citations
4.
Maehler, Débora B. & Jessica Daikeler. (2024). The cultural identity of first-generation adult immigrants: A meta-analysis. Self and Identity. 23(5-6). 450–483. 3 indexed citations
5.
6.
Daikeler, Jessica, Tobias Gummer, Henning Silber, et al.. (2023). Assessing Data Quality in the Age of Digital Social Research: A Systematic Review. SocArXiv (OSF Preprints). 1 indexed citations
7.
Bach, Ruben L., Carina Cornesse, & Jessica Daikeler. (2023). Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference?. Journal of Survey Statistics and Methodology. 12(1). 80–93. 2 indexed citations
8.
Daikeler, Jessica, et al.. (2023). Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection. International Journal of Market Research. 66(1). 14–26.
9.
Daikeler, Jessica, Henning Silber, & Michael Bošnjak. (2021). A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates. International Journal of Market Research. 64(3). 306–333. 34 indexed citations
10.
Gummer, Tobias, Ruben L. Bach, Jessica Daikeler, & Stephanie Eckman. (2020). The Relationship Between Response Probabilities and Data Quality in Grid Questions. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Silber, Henning, et al.. (2020). Interviewer Training Guidelines of Multinational Survey Programs: A Total Survey Error Perspective. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 14(1). 26. 2 indexed citations
12.
Daikeler, Jessica, Ruben L. Bach, Henning Silber, & Stephanie Eckman. (2020). Motivated Misreporting in Smartphone Surveys. Social Science Computer Review. 40(1). 95–107. 7 indexed citations
13.
Maehler, Débora B., et al.. (2020). The cultural identity of first-generation immigrant children and youth: Insights from a meta-analysis. Self and Identity. 20(6). 715–740. 8 indexed citations
14.
Daikeler, Jessica, Michael Bošnjak, & Katja Lozar Manfreda. (2019). Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates. Journal of Survey Statistics and Methodology. 8(3). 513–539. 223 indexed citations breakdown →
15.
Daikeler, Jessica, et al.. (2019). What’s my wage again? Comparing survey and administrative data to validate earning measures. International Journal of Social Research Methodology. 23(2). 215–228. 3 indexed citations
16.
Bach, Ruben L., Stephanie Eckman, & Jessica Daikeler. (2019). Misreporting Among Reluctant Respondents. Journal of Survey Statistics and Methodology. 8(3). 566–588. 11 indexed citations
17.
Struminskaya, Bella, et al.. (2018). Survey Data Documentation. Data Archiving and Networked Services (DANS). 7. 1 indexed citations
18.
Gummer, Tobias & Jessica Daikeler. (2018). A Note on How Prior Survey Experience With Self-Administered Panel Surveys Affects Attrition in Different Modes. Social Science Computer Review. 38(4). 490–498. 8 indexed citations

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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