Mark J. McCabe

30 papers receiving 641 citations

Peers

Mark J. McCabe
Comparison fields: 5 of 88
  • Statistics, Probability and Uncertainty 315
  • Information Systems and Management 116
  • Marketing 129
  • History and Philosophy of Science 59
  • Strategy and Management 195
Replace Antonio Costantini with:
Antonio Costantini Italy
Linda Ellis Johnson United States
Armando Rungi Italy
Herman Manakyan United States
Julie Callaert Belgium
Dean M. Schroeder United States
Seongkyoon Jeong United States
Doh‐Shin Jeon France
Megan MacGarvie United States
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Citations per year

Countries citing papers authored by Mark J. McCabe

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mark J. McCabe, 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 J. McCabe Line = papers co-authored together Mark J. McCabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 2002104
3 200583
4 199378
5 201759
6 200731
7 200530
8
Information goods and endogenous pricing strategies: the case of academic journals
200427
9 201325
10 200122
11 200120
12 199619
13 201816
14 201012
15 200412
16 201411
17 201110
18
Pay It Forward: Investigating a Sustainable Model of Open Access Article Processing Charges for Large North American Research Institutions Survey Instrument
20169
19 20049
20 20128

About Mark J. McCabe

Mark J. McCabe is a scholar working on Strategy and Management, Statistics, Probability and Uncertainty, Marketing, Media Technology and Management Science and Operations Research, having authored 33 papers that have together received 727 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (12 papers), Digital Platforms and Economics (12 papers), Consumer Market Behavior and Pricing (8 papers), Auction Theory and Applications (5 papers), ICT Impact and Policies (5 papers), Business Strategy and Innovation (4 papers), Academic Publishing and Open Access (3 papers) and Copyright and Intellectual Property (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (315 citations), Information Systems and Management (116 citations), Marketing (129 citations), History and Philosophy of Science (59 citations) and Strategy and Management (195 citations). Mark J. McCabe has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Christopher M. Snyder, Richard K. Lester, Daniel L. Rubinfeld, MacKenzie Smith, Carol Tenopir, Aviv Nevo, Elizabeth D. Dalton, Lisa Christian, Dennis C. Mueller and Christopher M. Snyder. Their work appears in journals such as American Economic Review, Journal of Industrial Economics, The Serials Librarian, The Review of Economics and Statistics and Managerial and Decision Economics.

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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