Lars Kaczmirek

1.1k total citations
28 papers, 635 citations indexed

About

Lars Kaczmirek is a scholar working on Sociology and Political Science, Communication and Information Systems. According to data from OpenAlex, Lars Kaczmirek has authored 28 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 6 papers in Communication and 4 papers in Information Systems. Recurrent topics in Lars Kaczmirek's work include Survey Methodology and Nonresponse (18 papers), Focus Groups and Qualitative Methods (7 papers) and Social Media and Politics (6 papers). Lars Kaczmirek is often cited by papers focused on Survey Methodology and Nonresponse (18 papers), Focus Groups and Qualitative Methods (7 papers) and Social Media and Politics (6 papers). Lars Kaczmirek collaborates with scholars based in Germany, United States and Austria. Lars Kaczmirek's co-authors include Timo Lenzner, Wolfgang Bandilla, Dorothée Behr, Michael Braun, Mick P. Couper, Mirta Galešić, Michael Bošnjak, Natalja Menold, Matthias Schonlau and Stefan H. Steiner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and Applied Cognitive Psychology.

In The Last Decade

Lars Kaczmirek

28 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Kaczmirek Germany 14 397 62 55 55 54 28 635
Tobias Gummer Germany 14 397 1.0× 42 0.7× 25 0.5× 45 0.8× 68 1.3× 57 631
Dorothée Behr Germany 14 324 0.8× 43 0.7× 42 0.8× 22 0.4× 45 0.8× 34 681
Timo Lenzner Germany 12 233 0.6× 46 0.7× 54 1.0× 36 0.7× 55 1.0× 33 488
Joss Roßmann Germany 11 257 0.6× 30 0.5× 20 0.4× 46 0.8× 49 0.9× 24 433
Troy Thomas Guyana 9 206 0.5× 29 0.5× 83 1.5× 21 0.4× 45 0.8× 18 606
M. P. Couper United States 6 289 0.7× 37 0.6× 12 0.2× 33 0.6× 28 0.5× 6 542
Scott Fricker United States 9 319 0.8× 61 1.0× 14 0.3× 24 0.4× 10 0.2× 15 509
Mark Garner United Kingdom 12 114 0.3× 27 0.4× 47 0.9× 34 0.6× 9 0.2× 35 785
Eleanor Lockley United Kingdom 8 174 0.4× 10 0.2× 49 0.9× 22 0.4× 12 0.2× 13 443
Adam Beatty United States 12 100 0.3× 19 0.3× 24 0.4× 15 0.3× 73 1.4× 25 694

Countries citing papers authored by Lars Kaczmirek

Since Specialization
Citations

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

Fields of papers citing papers by Lars Kaczmirek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Kaczmirek

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Kaczmirek. A scholar is included among the top collaborators of Lars Kaczmirek 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 Lars Kaczmirek. Lars Kaczmirek 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.
Kaczmirek, Lars, et al.. (2020). EOSC-Pillar D3.1 Summary report of the EOSC-Pillar National Initiatives Survey. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
2.
Roßmann, Joss, Tobias Gummer, & Lars Kaczmirek. (2020). Working with User Agent Strings in Stata: The parseuas Command. Journal of Statistical Software. 92(Code Snippet 1). 8 indexed citations
3.
Kaczmirek, Lars, Katharina Meitinger, & Dorothée Behr. (2017). Higher data quality in web probing with EvalAnswer: a tool for identifying and reducing nonresponse in openended questions. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 28. 2 indexed citations
4.
Schonlau, Matthias, et al.. (2017). Three Methods for Occupation Coding Based on Statistical Learning. Journal of Official Statistics. 33(1). 101–122. 30 indexed citations
5.
Behr, Dorothée, Katharina Meitinger, Michael Braun, & Lars Kaczmirek. (2017). Web probing – implementing probing techniques from cognitive, interviewing in web surveys with the goal to assess the validity of survey questions (GESIS Survey Guidelines). Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 18. 17 indexed citations
6.
Struminskaya, Bella, Edith D. de Leeuw, & Lars Kaczmirek. (2016). Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face-to-Face Reference Surveys. SHILAP Revista de lepidopterología. 6 indexed citations
7.
Schonlau, Matthias, et al.. (2016). Improving the Accuracy of Automated Occupation Coding at Any Production Rate. SSRN Electronic Journal. 1 indexed citations
8.
Kaczmirek, Lars & Philipp Mayr. (2015). Deutsche Bundestagswahl 2013: Nutzung von Twitter durch Kandidaten. GESIS Data Archive. 4 indexed citations
9.
Kaczmirek, Lars, et al.. (2014). GESIS Online Panel Pilot: einführende Mehrthemen-Welle (Umfrage 1). GESIS Data Archive. 2 indexed citations
10.
Behr, Dorothée, Wolfgang Bandilla, Lars Kaczmirek, & Michael Braun. (2013). Cognitive Probes in Web Surveys. Social Science Computer Review. 32(4). 524–533. 13 indexed citations
11.
Pampel, Heinz, et al.. (2012). Umgang mit Open-Access-Publikationsgebühren – die Situation in Deutschland in 2010. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Behr, Dorothée, Lars Kaczmirek, Wolfgang Bandilla, & Michael Braun. (2012). Asking Probing Questions in Web Surveys. Social Science Computer Review. 30(4). 487–498. 44 indexed citations
13.
Behr, Dorothée, Michael Braun, Lars Kaczmirek, & Wolfgang Bandilla. (2012). Item comparability in cross-national surveys: results from asking probing questions in cross-national web surveys about attitudes towards civil disobedience. Quality & Quantity. 48(1). 127–148. 29 indexed citations
14.
Braun, Michael, Dorothée Behr, & Lars Kaczmirek. (2012). Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys. International Journal of Public Opinion Research. 25(3). 383–395. 38 indexed citations
15.
Bandilla, Wolfgang, Mick P. Couper, & Lars Kaczmirek. (2012). The Mode of Invitation for Web Surveys. Survey Practice. 5(3). 1–5. 19 indexed citations
16.
Behr, Dorothée, Michael Braun, Lars Kaczmirek, & Wolfgang Bandilla. (2012). Testing the Validity of Gender Ideology Items by Implementing Probing Questions in Web Surveys. Field Methods. 25(2). 124–141. 20 indexed citations
17.
Lenzner, Timo, et al.. (2009). Cognitive burden of survey questions and response times: A psycholinguistic experiment. Applied Cognitive Psychology. 24(7). 1003–1020. 129 indexed citations
18.
Kaczmirek, Lars, et al.. (2007). Universal Acess in Human Computer Interaction. Coping with Diversity. Lecture notes in computer science. 19 indexed citations
19.
Bošnjak, Michael, et al.. (2007). Prenotification in Web-Based Access Panel Surveys. Social Science Computer Review. 26(2). 213–223. 51 indexed citations
20.
Kaczmirek, Lars. (2005). Web Surveys. A Brief Guide on Usability and Implementation Issues.. 102–106. 10 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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