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.
Revisiting the risk of automation
2017309 citationsMelanie Arntz, Terry Gregory et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Terry Gregory'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 Terry Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terry Gregory more than expected).
This network shows the impact of papers produced by Terry Gregory. 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 Terry Gregory. The network helps show where Terry Gregory may publish in the future.
Co-authorship network of co-authors of Terry Gregory
This figure shows the co-authorship network connecting the top 25 collaborators of Terry Gregory.
A scholar is included among the top collaborators of Terry Gregory 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 Terry Gregory. Terry Gregory is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pestel, Nico, Holger Bonin, Ingo E. Isphording, Terry Gregory, & Marco Caliendo. (2020). Auswirkungen des gesetzlichen Mindestlohns auf Beschäftigung und Arbeitslosigkeit. RePEc: Research Papers in Economics.1 indexed citations
5.
Arntz, Melanie, Katharina Dengler, Terry Gregory, et al.. (2020). Digitalisierung und Wandel der Beschäftigung (DIWABE): Eine Datengrundlage für die interdisziplinäre Sozialpolitikforschung. RePEc: Research Papers in Economics.1 indexed citations
Arntz, Melanie, Terry Gregory, Ulrich Zierahn, Florian Lehmer, & Britta Matthes. (2018). Digitalisierung und die Zukunft der Arbeit: Makroökonomische Auswirkungen auf Beschäftigung, Arbeitslosigkeit und Löhne von morgen. Econstor (Econstor).13 indexed citations
11.
Leber, Ute, et al.. (2018). Betriebe und Arbeitswelt 4.0: Mit Investitionen in die Digitalisierung steigt auch die Weiterbildung. Econstor (Econstor).3 indexed citations
12.
Arntz, Melanie, Terry Gregory, Ulrich Zierahn, et al.. (2017). Arbeitswelt 4.0: Wohlstandszuwachs oder Ungleichheit und Arbeitsplatzverlust – was bringt die Digitalisierung?. Econstor (Econstor). 70(7). 3–18.3 indexed citations
13.
Arntz, Melanie, et al.. (2016). Tätigkeitswandel und Weiterbildungsbedarf in der digitalen Transformation. Econstor (Econstor).8 indexed citations
14.
Bonin, Holger, Terry Gregory, & Ulrich Zierahn. (2015). Übertragung der Studie von Frey/Osborne (2013) auf Deutschland. Econstor (Econstor). 57.20 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.