Stephanie Eckman

1.9k total citations · 1 hit paper
57 papers, 1.2k citations indexed

About

Stephanie Eckman is a scholar working on Sociology and Political Science, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Stephanie Eckman has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Sociology and Political Science, 19 papers in Statistics and Probability and 16 papers in Economics and Econometrics. Recurrent topics in Stephanie Eckman's work include Survey Methodology and Nonresponse (31 papers), Survey Sampling and Estimation Techniques (11 papers) and Urban, Neighborhood, and Segregation Studies (8 papers). Stephanie Eckman is often cited by papers focused on Survey Methodology and Nonresponse (31 papers), Survey Sampling and Estimation Techniques (11 papers) and Urban, Neighborhood, and Segregation Studies (8 papers). Stephanie Eckman collaborates with scholars based in United States, Germany and United Kingdom. Stephanie Eckman's co-authors include Colm O’Muircheartaigh, Frauke Kreuter, Stephen M. Smith, C. Schneider, Bernhard Lehner, Mark R. Montgomery, Robert I. McDonald, Timothy Boucher, Pamela Green and T. P. Gleeson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Stephanie Eckman

54 papers receiving 1.1k citations

Hit Papers

Water on an urban planet: Urbanization and the reach of u... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Eckman United States 15 446 231 223 189 166 57 1.2k
George Van Houtven United States 27 183 0.4× 111 0.5× 265 1.2× 355 1.9× 1.1k 6.6× 62 1.8k
John Butterworth United States 29 240 0.5× 180 0.8× 278 1.2× 122 0.6× 74 0.4× 149 2.4k
Johannes Hoogeveen United States 14 344 0.8× 84 0.4× 44 0.2× 73 0.4× 183 1.1× 55 892
John Allan Australia 15 189 0.4× 476 2.1× 305 1.4× 70 0.4× 45 0.3× 41 1.1k
Jeremy R. Porter United States 18 750 1.7× 119 0.5× 27 0.1× 543 2.9× 182 1.1× 95 1.6k
Stanley K. Smith United States 24 422 0.9× 19 0.1× 112 0.5× 238 1.3× 305 1.8× 54 1.5k
Tarek Mostafa United Kingdom 16 217 0.5× 204 0.9× 9 0.0× 455 2.4× 96 0.6× 39 1.3k
W. Douglass Shaw United States 25 356 0.8× 77 0.3× 233 1.0× 259 1.4× 1.3k 7.6× 85 1.9k
Karyn Morrissey United Kingdom 27 267 0.6× 38 0.2× 39 0.2× 283 1.5× 352 2.1× 107 2.3k
Philip S. Brenner United States 18 486 1.1× 114 0.5× 16 0.1× 28 0.1× 37 0.2× 53 1.4k

Countries citing papers authored by Stephanie Eckman

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Eckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Eckman

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

All Works

20 of 20 papers shown
1.
Evenson, Kelly R., et al.. (2023). Data of worldwide observational studies of adults with accelerometry-measured physical activity and sedentary behavior. Data in Brief. 47. 109020–109020. 1 indexed citations
2.
Kern, Christoph, et al.. (2023). Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. MADOC (University of Mannheim). 14874–14886. 1 indexed citations
3.
Cernat, Alexandru, et al.. (2022). Impact of question topics and filter question formats on web survey breakoffs. International Journal of Market Research. 64(6). 710–726. 4 indexed citations
5.
Konitzer, Tobias, Jennifer Allen, Stephanie Eckman, et al.. (2020). Measuring News Consumption With Behavioral Versus Survey Data. SSRN Electronic Journal. 4 indexed citations
6.
Frasier, Alicia M., et al.. (2020). Design for a Mail Survey to Determine Prevalence of SARS-CoV-2 (COVID-19) Antibodies in the United States. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Eckman, Stephanie. (2017). Interviewers' expectations of response propensity can introduce nonresponse bias in survey data. Statistical Journal of the IAOS. 33(1). 231–234. 1 indexed citations
8.
Sakshaug, Joseph W. & Stephanie Eckman. (2016). Following Up with Nonrespondents via Mode Switch and Shortened Questionnaire in an Economic Survey: Evaluating Nonresponse Bias, Measurement Error Bias, and Total Bias. Journal of Survey Statistics and Methodology. 5(4). 454–479. 7 indexed citations
9.
Eckman, Stephanie, et al.. (2016). ASSESSING THE MECHANISMS OF MISREPORTING TO FILTER QUESTIONS IN SURVEYS. Insecta mundi.
10.
Himelein, Kristen, et al.. (2016). Second-Stage Sampling for Conflict Areas: Methods and Implications. World Bank, Washington, DC eBooks. 10 indexed citations
11.
Eckman, Stephanie, et al.. (2015). Using Call-Level Interviewer Observations to Improve Response Propensity Models. Public Opinion Quarterly. 79(4). 976–993. 6 indexed citations
12.
Eckman, Stephanie. (2015). Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?. Social Science Computer Review. 34(1). 41–58. 30 indexed citations
13.
Kosyakova, Yuliya, Jan Škopek, & Stephanie Eckman. (2014). Do Interviewers Manipulate Responses to Filter Questions? Evidence from a Multilevel Approach. International Journal of Public Opinion Research. 27(3). 417–431. 16 indexed citations
14.
McDonald, Robert I., J. Padowski, Martina Flörke, et al.. (2014). Water on an urban planet: Urbanization and the reach of urban water infrastructure. Global Environmental Change. 27. 96–105. 493 indexed citations breakdown →
15.
Eckman, Stephanie & Frauke Kreuter. (2013). Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing. Sociological Methods & Research. 42(3). 264–293. 13 indexed citations
16.
Eckman, Stephanie & Ned English. (2012). Creating Housing Unit Frames from Address Databases. Field Methods. 24(4). 399–408. 7 indexed citations
17.
Tourangeau, Roger, Frauke Kreuter, & Stephanie Eckman. (2012). Motivated Underreporting in Screening Interviews. Public Opinion Quarterly. 76(3). 453–469. 29 indexed citations
18.
Eckman, Stephanie & Ned English. (2012). Geocoding to Create Survey Frames. Survey Practice. 5(4). 1–8. 3 indexed citations
19.
O’Muircheartaigh, Colm, Stephanie Eckman, & Stephen M. Smith. (2009). Statistical Design and Estimation for the National Social Life, Health, and Aging Project. The Journals of Gerontology Series B. 64B(Supplement 1). i12–i19. 154 indexed citations
20.
English, Ned, et al.. (2009). Modeling the Need for Traditional vs. Commercially- Available Address Listings for In-Person Surveys: Results from a National Validation of Addresses. 5 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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