Maureen Meadows

3.1k citations
75 papers · 2.0k · h-index 24

Impact in

Papers in

Maureen Meadows

70 papers receiving 1.9k citations

Peers

Maureen Meadows
Comparison fields: 5 of 119
  • Management Information Systems 395
  • Strategy and Management 650
  • Marketing 364
  • Organizational Behavior and Human Resource Management 384
  • Management of Technology and Innovation 190
Replace Ana Isabel Canhoto with:
Ana Isabel Canhoto United Kingdom
Qing Cao United States
Chyan Yang Taiwan
Debidutta Pattnaik India
Torsten Oliver Salge Germany
Mirjana Pejić Bach Croatia
Prodromos Chatzoglou Greece
Sajjad M. Jasimuddin France
Wann‐Yih Wu Taiwan
Zhiqiang Zheng United States
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Citations per field
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Citations per year

Countries citing papers authored by Maureen Meadows

Since Specialization
Citations

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

Fields of papers citing papers by Maureen Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020190
2 2020167
3 2018157
4 2005115
5 2014114
6 200186
7 201274
8 199971
9 202361
10 201859
11 200351
12 201247
13 201744
14 200944
15 200444
16 201642
17 201041
18 200431
19 200028
20 200528

About Maureen Meadows

Maureen Meadows is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science, Management Information Systems and Marketing, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (12 papers), Customer Service Quality and Loyalty (8 papers), Big Data and Business Intelligence (6 papers), Accounting and Organizational Management (6 papers), Organizational Leadership and Management Strategies (6 papers), Corporate Finance and Governance (6 papers), Complex Systems and Decision Making (6 papers) and Management and Organizational Studies (5 papers). The work is most often cited by research in Management Information Systems (395 citations), Strategy and Management (650 citations), Marketing (364 citations), Organizational Behavior and Human Resource Management (384 citations) and Management of Technology and Innovation (190 citations). Maureen Meadows has collaborated with scholars based in United Kingdom, Brazil and Hong Kong. Frequent co-authors include Sally Dibb, Duncan Angwin, Frances A. O’Brien, Robert G. Dyson, Efstathios Tapinos, Dongmei Cao, Senmao Xia, Donna Wong, Emanuel Gomes and Qile He. Their work appears in journals such as Technological Forecasting and Social Change, Journal of the Operational Research Society, Journal of Strategic Marketing, European Management Journal and Long Range Planning.

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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