Timo Lenzner

782 citations
34 papers · 555 · h-index 13

Impact in

Papers in

Timo Lenzner

33 papers receiving 513 citations

Peers

Timo Lenzner
Comparison fields: 5 of 100
  • Applied Psychology 56
  • Computer Science Applications 38
  • Statistics and Probability 51
  • Sociology and Political Science 272
  • Statistics, Probability and Uncertainty 23
Replace Lars Kaczmirek with:
Lars Kaczmirek Germany
Jan Karem Höhne Germany
Henning Silber Germany
Dagmar Krebs Germany
Troy Thomas Guyana
Yongwei Yang United States
M. P. Couper United States
Janina M. Jolley United States
Tobias Gummer Germany
Joss Roßmann Germany
Timo Lenzner relative to Lars Kaczmirek Germany Lars Kaczmirek's profile →
Citations per field
00.5×1.5×
Lars Kaczmirek · 1×
Citations per year

Countries citing papers authored by Timo Lenzner

Since Specialization
Citations

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

Fields of papers citing papers by Timo Lenzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Timo Lenzner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timo Lenzner Line = papers co-authored together Timo Lenzner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009135
2 201160
3 201259
4 201342
5 201341
6 201527
7 201724
8 201719
9 201517
10 201617
11 201814
12 201412
13 201512
14 201512
15
Wie gestalte ich gute Items und Interviewfragen
20128
16 20227
17 20197
18 20147
19 20226
20 20195

About Timo Lenzner

Timo Lenzner is a scholar working on Sociology and Political Science, Information Systems, General Health Professions, Communication and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 555 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (18 papers), Expert finding and Q&A systems (6 papers), Social and Intergroup Psychology (4 papers), Focus Groups and Qualitative Methods (4 papers), Survey Sampling and Estimation Techniques (3 papers), Delphi Technique in Research (3 papers), Reliability and Agreement in Measurement (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Applied Psychology (56 citations), Computer Science Applications (38 citations), Statistics and Probability (51 citations), Sociology and Political Science (272 citations) and Statistics, Probability and Uncertainty (23 citations). Timo Lenzner has collaborated with scholars based in Germany, Spain and Luxembourg. Frequent co-authors include Lars Kaczmirek, Jan Karem Höhne, Mirta Galešić, Natalja Menold, Mélanie Revilla, Matthias Ziegler, Christoph J. Kemper, Meinald T. Thielsch, Ting Yan and Konstantin Gavras. Their work appears in journals such as Social Science Computer Review, Journal of Survey Statistics and Methodology, International Journal of Social Research Methodology, Field Methods and International Journal of Market Research.

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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