New Technology Work and Employment

620 papers and 15.5k indexed citations i.

About

The 620 papers published in New Technology Work and Employment in the last decades have received a total of 15.5k indexed citations. Papers published in New Technology Work and Employment usually cover Sociology and Political Science (362 papers), General Health Professions (122 papers) and Public Administration (118 papers) specifically the topics of Digital Economy and Work Transformation (195 papers), Employment and Welfare Studies (115 papers) and Labor Movements and Unions (110 papers). The most active scholars publishing in New Technology Work and Employment are Sonia Yeh, Vili Lehdonvirta, Phil Taylor, Alan Felstead, Golo Henseke, Peter Bain, Susan Halford, Debra Howcroft, Cath Sullivan and Lynn Holdsworth.

In The Last Decade

Fields of papers published in New Technology Work and Employment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in New Technology Work and Employment. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in New Technology Work and Employment.

Countries where authors publish in New Technology Work and Employment

Since Specialization
Citations

This map shows the geographic impact of research published in New Technology Work and Employment. 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 papers published in New Technology Work and Employment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New Technology Work and Employment more than expected).

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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