Mark Trappmann

1.4k total citations
57 papers, 825 citations indexed

About

Mark Trappmann is a scholar working on Sociology and Political Science, General Health Professions and Political Science and International Relations. According to data from OpenAlex, Mark Trappmann has authored 57 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Sociology and Political Science, 25 papers in General Health Professions and 12 papers in Political Science and International Relations. Recurrent topics in Mark Trappmann's work include Survey Methodology and Nonresponse (15 papers), Social and Demographic Issues in Germany (12 papers) and Employment and Welfare Studies (12 papers). Mark Trappmann is often cited by papers focused on Survey Methodology and Nonresponse (15 papers), Social and Demographic Issues in Germany (12 papers) and Employment and Welfare Studies (12 papers). Mark Trappmann collaborates with scholars based in Germany, United States and Bulgaria. Mark Trappmann's co-authors include Frauke Kreuter, Gerrit Müller, Sebastian Bähr, Florian Keusch, Stefanie Gundert, Ivar Krumpal, Antje Kirchner, Ben Jann, Brady T. West and Rainer Schnell and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Epidemiology and Public Opinion Quarterly.

In The Last Decade

Mark Trappmann

53 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Trappmann Germany 15 401 268 148 117 99 57 825
Ulrich Krieger Germany 13 494 1.2× 213 0.8× 198 1.3× 86 0.7× 61 0.6× 38 987
Alexander Wenz Germany 15 418 1.0× 239 0.9× 156 1.1× 51 0.4× 25 0.3× 32 981
Heather Laurie United Kingdom 13 342 0.9× 89 0.3× 84 0.6× 45 0.4× 31 0.3× 18 587
Annette Jäckle United Kingdom 15 427 1.1× 93 0.3× 194 1.3× 25 0.2× 91 0.9× 35 672
Linda Piekarski United States 6 357 0.9× 78 0.3× 85 0.6× 69 0.6× 35 0.4× 8 565
Christian Brzinsky-Fay Germany 9 453 1.1× 258 1.0× 202 1.4× 155 1.3× 19 0.2× 16 832
Andy Peytchev United States 19 833 2.1× 157 0.6× 286 1.9× 35 0.3× 258 2.6× 40 1.2k
Rebecca Maynard United States 19 308 0.8× 325 1.2× 193 1.3× 54 0.5× 217 2.2× 51 1.6k
Bella Struminskaya Netherlands 10 411 1.0× 54 0.2× 66 0.4× 43 0.4× 51 0.5× 29 621
Ethan Cohen‐Cole United States 14 260 0.6× 97 0.4× 369 2.5× 18 0.2× 36 0.4× 42 993

Countries citing papers authored by Mark Trappmann

Since Specialization
Citations

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

Fields of papers citing papers by Mark Trappmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Trappmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Trappmann. A scholar is included among the top collaborators of Mark Trappmann 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 Mark Trappmann. Mark Trappmann 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.
Sakshaug, Joseph W., et al.. (2023). Effects of mixing modes on nonresponse and measurement error in an economic panel survey. Journal for Labour Market Research. 57(1). 1 indexed citations
2.
Trappmann, Mark, et al.. (2023). Zahlreiche Faktoren verringern die Erfolgs-aussichten von Grundsicherungsbeziehenden. Wirtschaftsdienst. 103(2). 123–129. 3 indexed citations
3.
Bossler, Mario, et al.. (2023). Free riding on short‐time work allowances? Results from an experimental survey design. Kyklos. 76(4). 882–901.
4.
Abraham, Martin, Matthias Collischon, Veronika Grimm, et al.. (2022). COVID-19, normative attitudes and pluralistic ignorance in employer-employee relationships. Journal for Labour Market Research. 56(1). 19–19. 1 indexed citations
5.
Bähr, Sebastian, et al.. (2022). COVID-19, subjective well-being and basic income support in Germany. Zeitschrift für Sozialreform. 68(1). 85–117. 5 indexed citations
6.
Bähr, Sebastian, et al.. (2020). Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data. Social Science Computer Review. 40(1). 212–235. 29 indexed citations
7.
Krug, Gerhard, Christof Wolf, & Mark Trappmann. (2019). Soziale Netzwerke Langzeitarbeitsloser und die Aufnahme einer Erwerbstätigkeit. Zeitschrift für Soziologie. 48(5-6). 349–365. 2 indexed citations
9.
Trappmann, Mark, et al.. (2018). Sozialer Arbeitsmarkt für Langzeiterwerbslose: Wer für eine Förderung infrage kommt. Econstor (Econstor). 2 indexed citations
10.
Kreuter, Frauke, et al.. (2018). Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent. Social Science Computer Review. 38(5). 533–549. 91 indexed citations
11.
Brüderl, Josef & Mark Trappmann. (2017). Data Collection in Panel Surveys. 11(1). 3. 1 indexed citations
12.
Schnell, Rainer, et al.. (2017). A New Name-Based Sampling Method for Migrants. City Research Online (City University London). 8 indexed citations
13.
Gschwind, Lutz, et al.. (2016). Wenig gebildet, viel sanktioniert? Zur Selektivität von Sanktionen in der Grundsicherung des SGB II. Zeitschrift für Sozialreform. 62(2). 141–179. 16 indexed citations
14.
Trappmann, Mark, et al.. (2016). Interviewer Effects on a Network-Size Filter Question. Journal of Official Statistics. 32(2). 349–373. 24 indexed citations
15.
Fuchs, Benjamin, et al.. (2016). Codebook and documentation of the panel study Labour Market and Social Security (PASS) : Datenreport wave 3. RePEc: Research Papers in Economics. 2 indexed citations
16.
Hasselhorn, Hans Martin, Richard Peter, Angela Rauch, et al.. (2014). Cohort profile: The lidA Cohort Study--a German Cohort Study on Work, Age, Health and Work Participation. International Journal of Epidemiology. 43(6). 1736–1749. 77 indexed citations
17.
Schnell, Rainer, et al.. (2014). A Study of Assimilation Bias in Name-Based Sampling of Migrants. Journal of Official Statistics. 30(2). 231–249. 15 indexed citations
18.
Trappmann, Mark, et al.. (2010). PASS – A Household Panel Survey for Research on Unemployment and Poverty. Journal of Contextual Economics – Schmollers Jahrbuch. 130(4). 609–622. 48 indexed citations
19.
Achatz, Juliane & Mark Trappmann. (2009). Befragung von Arbeitslosengeld-II-Beziehern: Wege aus der Grundsicherung. Econstor (Econstor). 5 indexed citations
20.
Trappmann, Mark. (2005). Strukturanalyse sozialer Netzwerke : Konzepte, Modelle, Methoden. DIAL (Catholic University of Leuven). 9 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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