Michael M. Crow

2.2k citations
56 papers · 1.3k indexed · h-index 16

Michael M. Crow

51 papers receiving 1.1k citations

Peers

Michael M. Crow
Comparison fields: 5 of 113
  • Management of Technology and Innovation 501
  • Strategy and Management 511
  • Public Administration 85
  • Business and International Management 48
  • Economics and Econometrics 571
Replace Branco Ponomariov with:
Branco Ponomariov United States
Philippe Larédo France
Magnus Gulbrandsen Norway
Merle Jacob Sweden
Federica Rossi United Kingdom
Julia Olmos‐Peñuela Spain
Mireille Matt France
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Benjamín Coriat France
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Citations per year

Countries citing papers authored by Michael M. Crow

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Crow. 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 Michael M. Crow. The network helps show where Michael M. Crow may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael M. Crow, 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 Michael M. Crow Line = papers co-authored together Michael M. Crow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20200
3 201922
4
A new model for the American Research University
20159
5 20139
6
"No More Excuses": Michael M. Crow on Analytics.
20124
7 20121
8 201113
9 201057
10 20103
11
The challenge for the Obama administration science team
20091
12
None dare call it hubris: The limits of knowledge
20079
13
Enterprise: The Path to Transformation for Emerging Public Universities.
20074
14 19946
15 198913
16 19890
17 19887
18 198723
19 19853
20 198415

About Michael M. Crow

Michael M. Crow is a scholar working on Information Systems and Management, Management of Technology and Innovation, Strategy and Management, Public Administration and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Research, Science, and Academia (13 papers), Innovation Policy and R&D (11 papers), Innovation and Knowledge Management (8 papers), Higher Education Governance and Development (6 papers), scientometrics and bibliometrics research (4 papers), University-Industry-Government Innovation Models (4 papers), Innovation Diffusion and Forecasting (3 papers) and Information Systems Theories and Implementation (3 papers). The work is most often cited by research in Management of Technology and Innovation (501 citations), Strategy and Management (511 citations), Public Administration (85 citations), Business and International Management (48 citations) and Economics and Econometrics (571 citations). Michael M. Crow has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Barry Bozeman, Nathan Rosenberg, Jeannette A. Colyvas, Annetine C. Gelijns, Roberto Mazzoleni, Bhaven N. Sampat, Richard R. Nelson, Jorge Niosi, Bertrand Bellon and Paolo Saviotti. Their work appears in journals such as Public Administration Review, Science and Public Policy, Issues in Science and Technology, Nature and Technovation.

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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