Don J. Webber

2.2k citations
98 papers · 1.3k · h-index 22

Impact in

Papers in

Don J. Webber

89 papers receiving 1.2k citations

Peers

Don J. Webber
Comparison fields: 5 of 111
  • Economics and Econometrics 504
  • Organizational Behavior and Human Resource Management 154
  • General Economics, Econometrics and Finance 123
  • Information Systems and Management 91
  • Management of Technology and Innovation 85
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Yushi Jiang China
Jolita Vveinhardt Lithuania
Bruce Lloyd United Kingdom
Sharon M. Oster United States
Shin‐Kap Han United States
Phuong V. Nguyen Vietnam
Nebojsa S. Davcik Portugal
Wilfred I. Ukpere South Africa
Ángeles López Cabarcos Spain
Fernando J. Garrigós‐Simón Spain
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Citations per year

Countries citing papers authored by Don J. Webber

Since Specialization
Citations

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

Fields of papers citing papers by Don J. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2 201873
3 200772
4 201162
5 200260
6 201258
7 201256
8 201552
9 201349
10 201145
11 201539
12 202132
13 201331
14 201630
15 201030
16 201125
17 201425
18 202125
19 201424
20 201724

About Don J. Webber

Don J. Webber is a scholar working on Economics and Econometrics, Sociology and Political Science, Education, Political Science and International Relations and General Health Professions, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Economic Growth and Productivity (15 papers), Fiscal Policy and Economic Growth (11 papers), Regional Development and Policy (9 papers), Urban, Neighborhood, and Segregation Studies (9 papers), Employment and Welfare Studies (9 papers), Regional Economics and Spatial Analysis (8 papers), Innovations in Educational Methods (7 papers) and Social and Cultural Dynamics (5 papers). The work is most often cited by research in Economics and Econometrics (504 citations), Organizational Behavior and Human Resource Management (154 citations), General Economics, Econometrics and Finance (123 citations), Information Systems and Management (91 citations) and Management of Technology and Innovation (85 citations). Don J. Webber has collaborated with scholars based in United Kingdom, New Zealand and Greece. Frequent co-authors include Gail Pacheco, Saten Kumar, Tim Hughes, Annie Tubadji, Steve Johnson, Gillian Bristow, Adrian Healy, Andrew Mearman, Eoin O’Leary and Paul White. Their work appears in journals such as Regional Studies, Journal of Economic Issues, The Economic Journal, Local Economy The Journal of the Local Economy Policy Unit and Environment and Planning A Economy and Space.

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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