Mark Freel

48 papers receiving 3.6k citations

Peers

Mark Freel
Comparison fields: 5 of 83
  • Management of Technology and Innovation 1.6k
  • Business and International Management 303
  • Strategy and Management 2.0k
  • Accounting 886
  • Economics and Econometrics 1.7k
Replace Janet E. L. Bercovitz with:
Janet E. L. Bercovitz United States
Paul Robson United Kingdom
Brett Anitra Gilbert United States
Christos N. Pitelis United Kingdom
Mirjam Knockaert Belgium
Johan Bruneel Belgium
Timothy B. Folta United States
Maurizio Sobrero Italy
Steven C. Michael United States
Esteban Lafuente Spain
Mark Freel relative to Janet E. L. Bercovitz United States Janet E. L. Bercovitz's profile →
Citations per field
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Janet E. L. Bercovitz · 1×
Citations per year

Countries citing papers authored by Mark Freel

Since Specialization
Citations

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

Fields of papers citing papers by Mark Freel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mark Freel, 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 Mark Freel Line = papers co-authored together Mark Freel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003458
2 1998380
3 2003298
4 2000266
5 2004224
6 2006192
7 2000190
8 2000190
9 2006179
10 2009177
11 2005169
12 2010164
13 2006146
14 201695
15 200084
16 201982
17 201581
18
Knowledge-Intensive Business Services: Geography and Innovation
201071
19 199969
20 200959

About Mark Freel

Mark Freel is a scholar working on Management of Technology and Innovation, Strategy and Management, Accounting, Economics and Econometrics and Organizational Behavior and Human Resource Management, having authored 50 papers that have together received 4.0k indexed citations. Recurring topics across this work include Entrepreneurship Studies and Influences (25 papers), Firm Innovation and Growth (23 papers), Innovation and Knowledge Management (19 papers), Corporate Finance and Governance (10 papers), Private Equity and Venture Capital (10 papers), Family Business Performance and Succession (5 papers), Innovation Policy and R&D (5 papers) and Business Strategy and Innovation (4 papers). The work is most often cited by research in Management of Technology and Innovation (1.6k citations), Business and International Management (303 citations), Strategy and Management (2.0k citations), Accounting (886 citations) and Economics and Econometrics (1.7k citations). Mark Freel has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include David Deakins, Paul Robson, Jeroen P.J. de Jong, Richard Harrison, Stephen K. Tagg, Colin M. Mason, Sara Carter, Heidi Wiig Aslesen, David Doloreux and Richard Shearmur. Their work appears in journals such as Small Business Economics, Entrepreneurship and Regional Development, International Small Business Journal Researching Entrepreneurship, Technovation and Research Policy.

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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