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.
Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy
20181.0k citationsAlex J. Wood, Mark Graham et al.Work Employment and Societyprofile →
Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods
2017591 citationsMark Graham, Isis Hjorth et al.Transfer European Review of Labour and Researchprofile →
Networked but Commodified: The (Dis)Embeddedness of Digital Labour in the Gig Economy
2019220 citationsAlex J. Wood, Mark Graham et al.Sociologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Isis Hjorth'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 Isis Hjorth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isis Hjorth more than expected).
This network shows the impact of papers produced by Isis Hjorth. 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 Isis Hjorth. The network helps show where Isis Hjorth may publish in the future.
Co-authorship network of co-authors of Isis Hjorth
This figure shows the co-authorship network connecting the top 25 collaborators of Isis Hjorth.
A scholar is included among the top collaborators of Isis Hjorth 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 Isis Hjorth. Isis Hjorth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wood, Alex J., Mark Graham, Vili Lehdonvirta, & Isis Hjorth. (2019). Networked but Commodified: The (Dis)Embeddedness of Digital Labour in the Gig Economy. Sociology. 53(5). 931–950.220 indexed citations breakdown →
Wood, Alex J., Mark Graham, Vili Lehdonvirta, & Isis Hjorth. (2018). Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy. Work Employment and Society. 33(1). 56–75.1018 indexed citations breakdown →
Graham, Mark, Isis Hjorth, & Vili Lehdonvirta. (2017). Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer European Review of Labour and Research. 23(2). 135–162.591 indexed citations breakdown →
7.
Graham, Mark, et al.. (2017). The Risks and Rewards of Online Gig Work At the Global Margins. Oxford University Research Archive (ORA) (University of Oxford).63 indexed citations
kässi, otto, et al.. (2016). “Not a Lot of People Know Where It Is”: Liabilities of Origin in Online Contract Work. Oxford University Research Archive (ORA) (University of Oxford).2 indexed citations
10.
Graham, Matt W., et al.. (2014). Online labour markets - levelling the playing field for international service markets?.8 indexed citations
Oostveen, Anne‐Marie, Éric P. Meyer, Cristóbal Cobo, et al.. (2011). First Year Report on Scientific Workshop. SESERV Deliverable D1.2, Socio-Economic Services for European Research Projects FP7-2010-ICT-258138-CSA..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.