Stephen Flowers

17 papers receiving 383 citations

Peers

Stephen Flowers
Comparison fields: 5 of 74
  • Computer Science Applications 142
  • Business and International Management 45
  • Management of Technology and Innovation 95
  • Communication 59
  • Marketing 65
Replace Maha Shaikh with:
Maha Shaikh United Kingdom
Dirk Lüttgens Germany
Jeffrey Y. Kim United States
Éric Schenk France
Raffaele Ciriello Australia
Kari Liukkunen Finland
Pamela Abbott United Kingdom
Sridhar S. Papagari United States
Claude Guittard France
Elaine Ferneley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Flowers

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Stephen Flowers, 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 Stephen Flowers Line = papers co-authored together Stephen Flowers links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2012146
2 200868
3
Software Failure: Management Failure: Amazing Stories and Cautionary Tales
199666
4 201828
5 200421
6 199718
7 202015
8 201813
9 201011
10 201611
11 20008
12
Prevalence of User Innovation in the EU: Analysis based on the Innobarometer Surveys of 2007 and 2009
20094
13 20174
14
The New Inventors
20083
15 20232
16 20172
17 20111

About Stephen Flowers

Stephen Flowers is a scholar working on Strategy and Management, Management of Technology and Innovation, Computer Science Applications, Computer Networks and Communications and Political Science and International Relations, having authored 17 papers that have together received 421 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (6 papers), Open Source Software Innovations (5 papers), Innovative Approaches in Technology and Social Development (3 papers), University-Industry-Government Innovation Models (2 papers), Software System Performance and Reliability (2 papers), Regional Development and Policy (2 papers), Private Equity and Venture Capital (2 papers) and Innovation, Technology, and Society (1 paper). The work is most often cited by research in Computer Science Applications (142 citations), Business and International Management (45 citations), Management of Technology and Innovation (95 citations), Communication (59 citations) and Marketing (65 citations). Stephen Flowers has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jeroen P.J. de Jong, Eric von Hippel, Martin Meyer, Jari Kuusisto, Flis Henwood, Muthu De Silva, Kevin Grant, Parimal Patel, Andrew W. Lloyd and Sune Dueholm Müller. Their work appears in journals such as Research Policy, Industrial Marketing Management, R and D Management, International Journal of Innovation Management and British Journal of Educational Technology.

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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