Will Sutherland

29 papers receiving 3.3k citations

Will Sutherland's Hit Papers

Algorithmic management in a work context 2021 · 267 citations
2670+7+15Years since publication100200300400500

Peers

Will Sutherland
Comparison fields: 5 of 109
  • Instrumentation 641
  • Astronomy and Astrophysics 1.6k
  • Marketing 848
  • Nuclear and High Energy Physics 484
  • Sociology and Political Science 1.2k
Replace Cédric Moreau with:
Cédric Moreau United States
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Citations per field
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Citations per year

Countries citing papers authored by Will Sutherland

Since Specialization
Citations

This map shows the geographic impact of Will Sutherland'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 Will Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Sutherland more than expected).

Fields of papers citing papers by Will Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Sutherland. 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 Will Sutherland. The network helps show where Will Sutherland may publish in the future.

Co-authors

The 24 scholars most cited alongside Will Sutherland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Sutherland Line = papers co-authored together Will Sutherland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 2dF Galaxy Redshift Survey: correlation functions, peculiar velocities and the matter density of the Universe
Hit paper breakdown →
2003553
2
The sharing economy and digital platforms: A review and research agenda
Hit paper breakdown →
2018533
3 2002336
4
Algorithmic management in a work context
Hit paper breakdown →
2021267
5 2002219
6 2019183
7 2002174
8 2019151
9 2018147
10 2019138
11 201799
12 200478
13 201976
14 202168
15 200363
16 202061
17 201960
18 200456
19 200453
20 200442

About Will Sutherland

Will Sutherland is a scholar working on Information Systems and Management, Marketing, Astronomy and Astrophysics, Instrumentation and Information Systems, having authored 31 papers that have together received 3.5k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (10 papers), Digital Economy and Work Transformation (9 papers), Sharing Economy and Platforms (8 papers), Scientific Computing and Data Management (7 papers), Research Data Management Practices (5 papers), Stellar, planetary, and galactic studies (5 papers), Astronomy and Astrophysical Research (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). The work is most often cited by research in Instrumentation (641 citations), Astronomy and Astrophysics (1.6k citations), Marketing (848 citations), Nuclear and High Energy Physics (484 citations) and Sociology and Political Science (1.2k citations). Will Sutherland has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mohammad Hossein Jarrahi, Sarah Beth Nelson, Steve Sawyer, Michael Dunn, Min Kyung Lee, Christine T. Wolf, Gemma Newlands, Gabriela Phillips, David Ribes and Seyram Avle. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Proceedings of the ACM on Human-Computer Interaction, Computer Supported Cooperative Work (CSCW), Work Employment and Society and Human Behavior and Emerging Technologies.

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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