Joss Roßmann

670 total citations
24 papers, 433 citations indexed

About

Joss Roßmann is a scholar working on Sociology and Political Science, Communication and Statistics and Probability. According to data from OpenAlex, Joss Roßmann has authored 24 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 5 papers in Communication and 5 papers in Statistics and Probability. Recurrent topics in Joss Roßmann's work include Survey Methodology and Nonresponse (16 papers), Social Media and Politics (5 papers) and Behavioral Health and Interventions (3 papers). Joss Roßmann is often cited by papers focused on Survey Methodology and Nonresponse (16 papers), Social Media and Politics (5 papers) and Behavioral Health and Interventions (3 papers). Joss Roßmann collaborates with scholars based in Germany, Austria and Spain. Joss Roßmann's co-authors include Tobias Gummer, Henning Silber, Christof Wolf, Stephen Quinlan, Markus Steinbrecher, Lars Kaczmirek, Jan Karem Höhne, Tobias Rettig, Stefan Zins and Michael Bergmann and has published in prestigious journals such as Journal of Statistical Software, Journal of the Royal Statistical Society Series A (Statistics in Society) and Sociological Methods & Research.

In The Last Decade

Joss Roßmann

22 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joss Roßmann Germany 11 257 71 49 46 41 24 433
Tobias Gummer Germany 14 397 1.5× 87 1.2× 68 1.4× 45 1.0× 60 1.5× 57 631
Lars Kaczmirek Germany 14 397 1.5× 52 0.7× 54 1.1× 55 1.2× 44 1.1× 28 635
Henning Silber Germany 11 258 1.0× 34 0.5× 49 1.0× 28 0.6× 29 0.7× 43 450
Timo Lenzner Germany 12 233 0.9× 21 0.3× 55 1.1× 36 0.8× 33 0.8× 33 488
Aigul Mavletova Russia 8 271 1.1× 63 0.9× 33 0.7× 82 1.8× 23 0.6× 13 355
Wolfgang Bandilla Germany 10 239 0.9× 31 0.4× 22 0.4× 34 0.7× 21 0.5× 21 327
Jan Karem Höhne Germany 13 246 1.0× 73 1.0× 56 1.1× 48 1.0× 17 0.4× 49 406
David McElhattan United States 5 316 1.2× 37 0.5× 18 0.4× 15 0.3× 41 1.0× 7 476
Scott Fricker United States 9 319 1.2× 45 0.6× 10 0.2× 24 0.5× 81 2.0× 15 509
Marek Fuchs Germany 11 195 0.8× 21 0.3× 13 0.3× 12 0.3× 31 0.8× 39 299

Countries citing papers authored by Joss Roßmann

Since Specialization
Citations

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

Fields of papers citing papers by Joss Roßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joss Roßmann

This figure shows the co-authorship network connecting the top 25 collaborators of Joss Roßmann. A scholar is included among the top collaborators of Joss Roßmann 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 Joss Roßmann. Joss Roßmann 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
2.
Roßmann, Joss, et al.. (2023). Using Eye-Tracking Methodology to Study Grid Question Designs in Web Surveys. Journal of Official Statistics. 39(1). 79–101.
3.
Gummer, Tobias, et al.. (2023). Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany. Quality & Quantity. 57(6). 5333–5353. 12 indexed citations
4.
Silber, Henning, Joss Roßmann, & Tobias Gummer. (2022). The Issue of Noncompliance in Attention Check Questions: False Positives in Instructed Response Items. Field Methods. 34(4). 346–360. 16 indexed citations
5.
Silber, Henning, et al.. (2021). The Effects of Question, Respondent and Interviewer Characteristics on Two Types of Item Nonresponse. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(3). 1052–1069. 10 indexed citations
6.
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
7.
Gummer, Tobias & Joss Roßmann. (2018). The effects of propensity score weighting on attrition biases in attitudinal, behavioral, and socio-demographic variables in a short-term web-based panel survey. International Journal of Social Research Methodology. 22(1). 81–95. 5 indexed citations
8.
Gummer, Tobias, et al.. (2018). Does Increasing Mobile Device Coverage Reduce Heterogeneity in Completing Web Surveys on Smartphones?. Social Science Computer Review. 37(3). 371–384. 26 indexed citations
9.
Gummer, Tobias, Joss Roßmann, & Henning Silber. (2018). Using Instructed Response Items as Attention Checks in Web Surveys: Properties and Implementation. Sociological Methods & Research. 50(1). 238–264. 125 indexed citations
10.
Gummer, Tobias, et al.. (2018). Learning effects in coders and their implications for managing content analyses. International Journal of Social Research Methodology. 22(2). 139–152. 4 indexed citations
11.
Roßmann, Joss, Tobias Gummer, & Henning Silber. (2017). Mitigating Satisficing in Cognitively Demanding Grid Questions: Evidence from Two Web-Based Experiments. Journal of Survey Statistics and Methodology. 6(3). 376–400. 40 indexed citations
12.
Roßmann, Joss. (2017). Satisficing in Befragungen. DIAL (Catholic University of Leuven). 7 indexed citations
13.
Silber, Henning, Joss Roßmann, & Tobias Gummer. (2017). When near means related: evidence from three web survey experiments on inter-item correlations in grid questions. International Journal of Social Research Methodology. 21(3). 275–288. 11 indexed citations
14.
Roßmann, Joss. (2015). RSPEEDINDEX: Stata module to compute a response speed index and perform outlier identification. RePEc: Research Papers in Economics. 4 indexed citations
15.
Roßmann, Joss & Tobias Gummer. (2015). Using Paradata to Predict and Correct for Panel Attrition. Social Science Computer Review. 34(3). 312–332. 28 indexed citations
16.
Steinbrecher, Markus, Joss Roßmann, & Michael Bergmann. (2015). The Short-term Campaign Panel of the German Longitudinal Election Study 2009: Design, Implementation, Data Preparation, and Archiving; Version 5.0.0. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 64. 4 indexed citations
17.
Roßmann, Joss & Tobias Gummer. (2014). PARSEUAS: Stata module to extract detailed information from user agent strings. RePEc: Research Papers in Economics. 1 indexed citations
18.
Steinbrecher, Markus, et al.. (2014). Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys. International Journal of Public Opinion Research. 27(2). 289–302. 21 indexed citations
19.
Gummer, Tobias & Joss Roßmann. (2014). Explaining Interview Duration in Web Surveys. Social Science Computer Review. 33(2). 217–234. 42 indexed citations
20.
Gummer, Tobias & Joss Roßmann. (2013). Good questions, bad questions? A Post-Survey Evaluation Strategy Based on Item Nonresponse. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 10. 2 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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