Oliver Lipps

1.0k total citations
55 papers, 617 citations indexed

About

Oliver Lipps is a scholar working on Sociology and Political Science, General Health Professions and Gender Studies. According to data from OpenAlex, Oliver Lipps has authored 55 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Sociology and Political Science, 11 papers in General Health Professions and 11 papers in Gender Studies. Recurrent topics in Oliver Lipps's work include Survey Methodology and Nonresponse (26 papers), Gender, Labor, and Family Dynamics (10 papers) and Employment and Welfare Studies (8 papers). Oliver Lipps is often cited by papers focused on Survey Methodology and Nonresponse (26 papers), Gender, Labor, and Family Dynamics (10 papers) and Employment and Welfare Studies (8 papers). Oliver Lipps collaborates with scholars based in Switzerland, United States and Italy. Oliver Lipps's co-authors include Marieke Voorpostel, Stephen P. Jenkins, Dean R. Lillard, Mark Wooden, Joachim R. Frick, Daniel Oesch, Michael Grätz, Florence Lebert, Valérie-Anne Ryser and Ursina Kuhn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marriage and the Family and Social Indicators Research.

In The Last Decade

Oliver Lipps

50 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Lipps Switzerland 13 364 156 107 107 96 55 617
Denise Hawkes United Kingdom 14 275 0.8× 137 0.9× 107 1.0× 154 1.4× 77 0.8× 44 735
Margherita Fort Italy 11 373 1.0× 201 1.3× 187 1.7× 166 1.6× 119 1.2× 39 847
Jan Marcus Germany 14 184 0.5× 137 0.9× 63 0.6× 181 1.7× 65 0.7× 49 630
Aaron Maitland United States 13 292 0.8× 113 0.7× 78 0.7× 64 0.6× 68 0.7× 25 600
Gregori Baetschmann Switzerland 8 155 0.4× 148 0.9× 114 1.1× 160 1.5× 52 0.5× 15 548
Alita Nandi United Kingdom 15 346 1.0× 122 0.8× 105 1.0× 51 0.5× 42 0.4× 26 531
Meredith Kleykamp United States 16 245 0.7× 254 1.6× 50 0.5× 155 1.4× 142 1.5× 33 790
Silke Anger Germany 12 265 0.7× 112 0.7× 64 0.6× 137 1.3× 49 0.5× 45 562
Olof Bäckman Sweden 19 537 1.5× 367 2.4× 139 1.3× 48 0.4× 63 0.7× 54 894
Annette Scherpenzeel Netherlands 10 279 0.8× 111 0.7× 162 1.5× 79 0.7× 27 0.3× 23 674

Countries citing papers authored by Oliver Lipps

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Lipps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Lipps

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Lipps. A scholar is included among the top collaborators of Oliver Lipps 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 Oliver Lipps. Oliver Lipps 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.
Oesch, Daniel, et al.. (2025). Occupational earning potential: a new measure of social hierarchy in Europe and the US. European Sociological Review.
2.
Sommet, Nicolas & Oliver Lipps. (2025). A Primer on Fixed Effects and Fixed-Effects Panel Modeling Using R, Stata, and SPSS. Advances in Methods and Practices in Psychological Science. 8(4). 1 indexed citations
3.
Lipps, Oliver, et al.. (2024). How loneliness increased among different age groups during COVID-19: a longitudinal analysis. European Journal of Ageing. 21(1). 2–2. 1 indexed citations
4.
Lipps, Oliver, et al.. (2023). How much his or her job loss influences fertility: A couple approach. Journal of Marriage and the Family. 85(4). 873–897. 7 indexed citations
5.
Lipps, Oliver, et al.. (2022). Overwhelmed by Learning in Lockdown: Effects of Covid-19-enforced Homeschooling on Parents’ Wellbeing. Social Indicators Research. 164(1). 323–343. 8 indexed citations
6.
Lipps, Oliver, et al.. (2022). Health and labor force participation among older workers in Switzerland: a growth curve analysis. European Journal of Ageing. 19(4). 1395–1406. 1 indexed citations
7.
Lipps, Oliver, et al.. (2021). The effect of unemployment on couples separating in Germany and the UK. Journal of Marriage and the Family. 84(1). 310–329. 20 indexed citations
8.
Kuhn, Ursina, Hannah S. Klaas, Florence Lebert, et al.. (2020). Who is most affected by the Corona crisis? An analysis of changes in stress and well-being in Switzerland. European Societies. 23(S1). S942–S956. 52 indexed citations
9.
Lipps, Oliver, et al.. (2020). The effect of unemployment on couples separating. Panel evidence for Germany, Switzerland and the United Kingdom. SERVAL (Université de Lausanne). 1–41.
10.
Grätz, Michael & Oliver Lipps. (2020). Large loss in studying time during the closure of schools in Switzerland in 2020. Research in Social Stratification and Mobility. 71. 100554–100554. 37 indexed citations
11.
Lipps, Oliver & Marieke Voorpostel. (2020). Can Interviewer Evaluations Predict Short-Term and Long-Term Participation in Telephone Panels?. Journal of Official Statistics. 36(1). 117–136. 2 indexed citations
12.
Oesch, Daniel, et al.. (2017). The wage penalty for motherhood: Evidence on discrimination from panel data and a survey experiment for Switzerland. Demographic Research. 37. 1793–1824. 36 indexed citations
13.
Lipps, Oliver & Florence Lebert. (2016). Attrition when dropping CAPI from a CATI/CAPI panel survey. Survey Practice. 9(3). 1–5. 1 indexed citations
14.
Lipps, Oliver, et al.. (2016). Sample Representation and Substantive Outcomes Using Web With and Without Incentives Compared to Telephone in an Election Survey. Journal of Official Statistics. 32(1). 165–186. 9 indexed citations
15.
Voorpostel, Marieke & Oliver Lipps. (2011). Attrition in the Swiss Household Panel: Is change associated with later drop-out?. Journal of Official Statistics. 27(2). 301–318. 19 indexed citations
16.
17.
Lipps, Oliver, et al.. (2009). Change of individual BMI in Switzerland and the USA: a multilevel model for growth. International Journal of Public Health. 55(4). 299–306. 4 indexed citations
18.
Frick, Joachim R., Stephen P. Jenkins, Dean R. Lillard, Oliver Lipps, & Mark Wooden. (2007). European Data Watch: The Cross-National Equivalent File (CNEF) and its Member Country Household Panel Studies. RePEc: Research Papers in Economics. 127(4). 627–654. 21 indexed citations
19.
Frick, Joachim R., Stephen P. Jenkins, Dean R. Lillard, Oliver Lipps, & Mark Wooden. (2007). The Cross-National Equivalent File (CNEF) and its Member Country Household Panel Studies. Journal of Contextual Economics – Schmollers Jahrbuch. 127(4). 627–654. 115 indexed citations
20.
Chlond, Bastian, Oliver Lipps, & Dirk Zumkeller. (2002). Der Anpassungsprozess von Ost an West - schnell aber nicht homogen : Zweiter Teil der Serie: Entwicklung der Mobilität im vereinigten Deutschland. Internationales Verkehrswesen. 54(11). 523–528. 1 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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