Tim Butcher

28 papers receiving 492 citations

Peers

Tim Butcher
Comparison fields: 5 of 89
  • Management Information Systems 156
  • Architecture 23
  • Strategy and Management 182
  • Industrial and Manufacturing Engineering 77
  • Management of Technology and Innovation 53
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Davi Nakano Brazil
Marjan Sarshar United Kingdom
Jan Bröchner Sweden
Carlos Olavo Quandt Brazil
Sven M. Laudien Germany
Scott Fernie United Kingdom
Eamon Fitzgerald United Kingdom
Staffan Brege Sweden
Sylvain Lenfle France
Matthew H. Roy United States
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Citations per year

Countries citing papers authored by Tim Butcher

Since Specialization
Citations

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

Fields of papers citing papers by Tim Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Tim Butcher, 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 Tim Butcher Line = papers co-authored together Tim Butcher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Logistics and Supply Chain Management
2008192
2 201676
3 201857
4 201751
5 201443
6 201318
7 201316
8 201315
9 200714
10
Blood River: A Journey to Africa's Broken Heart
200710
11 20129
12
Beyond Equality: The Place of Aboriginal Culture in the Australian Game of Football
20168
13 20098
14
Coworking: locating community at work
20135
15 20075
16 20104
17 20074
18 20234
19 20143
20
Logistics manager skill requirements: Comparing international practices
20092

About Tim Butcher

Tim Butcher is a scholar working on Sociology and Political Science, Management Information Systems, Strategy and Management, Urban Studies and Social Psychology, having authored 30 papers that have together received 555 indexed citations. Recurring topics across this work include Quality and Supply Management (4 papers), Outsourcing and Supply Chain Management (4 papers), Labor market dynamics and wage inequality (3 papers), Cultural Industries and Urban Development (3 papers), Sport and Mega-Event Impacts (3 papers), Facilities and Workplace Management (3 papers), Management and Organizational Studies (3 papers) and Health, Medicine and Society (2 papers). The work is most often cited by research in Management Information Systems (156 citations), Architecture (23 citations), Strategy and Management (182 citations), Industrial and Manufacturing Engineering (77 citations) and Management of Technology and Innovation (53 citations). Tim Butcher has collaborated with scholars based in Australia, United Kingdom and Spain. Frequent co-authors include John Mangan, Chandra Lalwani, Prem Chhetri, Jago Dodson, Julian Waters-Lynch, Joe Hurley, Jason Potts, Brian Corbitt, Gyöngyi Kovács and Peter Tatham. Their work appears in journals such as Australian aboriginal studies, International Journal of Agile Systems and Management, Journal of Applied Polymer Science, The International Journal of Logistics Management and Management Learning.

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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