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.
Mental Health During the First Year of the COVID-19 Pandemic: A Review and Recommendations for Moving Forward
2022272 citationsLara B. Aknin, Jan‐Emmanuel De Neve et al.Perspectives on Psychological Scienceprofile →
Policy stringency and mental health during the COVID-19 pandemic: a longitudinal analysis of data from 15 countries
2022132 citationsLara B. Aknin, Rafael Goldszmidt et al.The Lancet Public Healthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jan‐Emmanuel De Neve
Since
Specialization
Citations
This map shows the geographic impact of Jan‐Emmanuel De Neve'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 Jan‐Emmanuel De Neve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan‐Emmanuel De Neve more than expected).
Fields of papers citing papers by Jan‐Emmanuel De Neve
This network shows the impact of papers produced by Jan‐Emmanuel De Neve. 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 Jan‐Emmanuel De Neve. The network helps show where Jan‐Emmanuel De Neve may publish in the future.
Co-authorship network of co-authors of Jan‐Emmanuel De Neve
This figure shows the co-authorship network connecting the top 25 collaborators of Jan‐Emmanuel De Neve.
A scholar is included among the top collaborators of Jan‐Emmanuel De Neve 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 Jan‐Emmanuel De Neve. Jan‐Emmanuel De Neve is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Aknin, Lara B., Jan‐Emmanuel De Neve, Elizabeth W. Dunn, et al.. (2022). Mental Health During the First Year of the COVID-19 Pandemic: A Review and Recommendations for Moving Forward. Perspectives on Psychological Science. 17(4). 915–936.272 indexed citations breakdown →
Aknin, Lara B., Rafael Goldszmidt, John F. Helliwell, et al.. (2022). Policy stringency and mental health during the COVID-19 pandemic: a longitudinal analysis of data from 15 countries. The Lancet Public Health. 7(5). e417–e426.132 indexed citations breakdown →
Clark, Andrew E., Jan‐Emmanuel De Neve, Daisy Fancourt, et al.. (2020). When to release the lockdown: A wellbeing framework for analysing costs and benefits. LSE Research Online Documents on Economics.2 indexed citations
10.
Anand, Paul, Luc Bovens, Jan‐Emmanuel De Neve, et al.. (2020). Post-Covid 19 economic development and policy: submitted as recommendations to the Scottish economic recovery group. London School of Economics and Political Science Research Online (London School of Economics and Political Science).1 indexed citations
Neve, Jan‐Emmanuel De & George Ward. (2017). Happiness at work. LSE Research Online Documents on Economics.13 indexed citations
16.
Neve, Jan‐Emmanuel De, et al.. (2013). The Objective Benefits of Subjective Well-Being. London School of Economics and Political Science Research Online (London School of Economics and Political Science).211 indexed citations
Neve, Jan‐Emmanuel De. (2010). The Nature and Nurture of the Influence of Personality on Political Ideology and Electoral Turnout. SSRN Electronic Journal.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.