Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The COVID-19 pandemic and subjective well-being: longitudinal evidence on satisfaction with work and family
2020253 citationsKatja Möhring, Elias Naumann et al.European Societiesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Carina Cornesse
Since
Specialization
Citations
This map shows the geographic impact of Carina Cornesse'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 Carina Cornesse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carina Cornesse more than expected).
This network shows the impact of papers produced by Carina Cornesse. 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 Carina Cornesse. The network helps show where Carina Cornesse may publish in the future.
Co-authorship network of co-authors of Carina Cornesse
This figure shows the co-authorship network connecting the top 25 collaborators of Carina Cornesse.
A scholar is included among the top collaborators of Carina Cornesse 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 Carina Cornesse. Carina Cornesse is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Möhring, Katja, Elias Naumann, Maximiliane Reifenscheid, et al.. (2020). The COVID-19 pandemic and subjective well-being: longitudinal evidence on satisfaction with work and family. European Societies. 23(sup1). S601–S617.253 indexed citations breakdown →
12.
Blom, Annelies G., Tobias Rettig, Maximiliane Reifenscheid, et al.. (2020). Die Mannheimer Corona-Studie: Das Leben in Deutschland im Ausnahmezustand : Bericht zur Lage vom 20. März bis 30. Juni 2020. MADOC (University of Mannheim).2 indexed citations
13.
Blom, Annelies G., Alexander Wenz, Carina Cornesse, et al.. (2020). Barriers to the Large-Scale Adoption of the COVID-19 Contact-Tracing App in Germany.1 indexed citations
14.
Möhring, Katja, Elias Naumann, Maximiliane Reifenscheid, et al.. (2020). Die Mannheimer Corona-Studie: Schwerpunktbericht zu Erwerbstätigkeit und Kinderbetreuung. MADOC (University of Mannheim).20 indexed citations
Lehrer, Roni, Annelies G. Blom, Alexander Wenz, et al.. (2020). Die Mannheimer Corona-Studie: Demokratische Kontrolle in der Corona-Krise. MADOC (University of Mannheim).2 indexed citations
17.
Möhring, Katja, Elias Naumann, Maximiliane Reifenscheid, et al.. (2020). Die Mannheimer Corona-Studie: Schwerpunktbericht zur Nutzung und Akzeptanz von Homeoffice in Deutschland während des Corona-Lockdowns. MADOC (University of Mannheim).1 indexed citations
Lehrer, Roni, Annelies G. Blom, Alexander Wenz, et al.. (2020). Die Mannheimer Corona-Studie: Die vier Phasen des Social Distancing in Deutschland. MADOC (University of Mannheim).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.