Michael A. Lapré

1.4k citations
22 papers · 1.0k indexed · h-index 11

Impact in

Papers in

Michael A. Lapré

20 papers receiving 975 citations

Peers

Michael A. Lapré
Comparison fields: 5 of 94
  • Management Information Systems 357
  • Strategy and Management 508
  • Management Science and Operations Research 213
  • Communication 117
  • Management of Technology and Innovation 112
Replace Markus Biehl with:
Markus Biehl Canada
Neil Turner United Kingdom
Yasmin Merali United Kingdom
Christopher Bamber United Kingdom
H. James Harrington United States
Andy Koronios Australia
Jamison M. Day United States
Scott Fernie United Kingdom
Brian Lehaney United Kingdom
Oya I. Tukel United States
Michael A. Lapré relative to Markus Biehl Canada Markus Biehl's profile →
Citations per field
00.5×1.5×2.4×
Markus Biehl · 1×
Citations per year

Countries citing papers authored by Michael A. Lapré

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Lapré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Michael A. Lapré, 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 A. Lapré Line = papers co-authored together Michael A. Lapré links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20235
4 20227
5 202212
6 201720
7 201169
8 201057
9 20106
10 201010
11 20101
12 20099
13 200627
14 20061
15 200343
16
Learning across Lines. The Secret to More Efficient Factories.
200229
17 2001150
18 20011
19 2000284
20 1998202

About Michael A. Lapré

Michael A. Lapré is a scholar working on Management Information Systems, Strategy and Management, Management Science and Operations Research, Organizational Behavior and Human Resource Management and Gender Studies, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Quality and Supply Management (8 papers), Innovation and Knowledge Management (8 papers), Complex Systems and Decision Making (5 papers), Sports Analytics and Performance (4 papers), Sports, Gender, and Society (3 papers), Organizational Learning and Leadership (3 papers), Sport and Mega-Event Impacts (3 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Management Information Systems (357 citations), Strategy and Management (508 citations), Management Science and Operations Research (213 citations), Communication (117 citations) and Management of Technology and Innovation (112 citations). Michael A. Lapré has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Luk N. Van Wassenhove, Gary D. Scudder, Nikos Tsikriktsis, Yasin Alan, Roger E. Bohn, Joseph D. Blackburn and Erol A. Peköz. Their work appears in journals such as Management Science, Production and Operations Management, Journal of Quantitative Analysis in Sports, Queueing Systems and California Management Review.

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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