Malcolm Abbott

2.0k citations
108 papers · 1.3k · h-index 17

Impact in

Papers in

Malcolm Abbott

92 papers receiving 1.1k citations

Peers

Malcolm Abbott
Comparison fields: 5 of 102
  • Management Science and Operations Research 414
  • Economics and Econometrics 463
  • Strategy and Management 261
  • Ocean Engineering 214
  • General Economics, Econometrics and Finance 97
Replace Dieter Helm with:
Dieter Helm United Kingdom
David S. Saal United Kingdom
Willem Moesen Belgium
Seema Sharma India
Michel Moreaux France
John Besant-Jones United States
Ralph Turvey United Kingdom
Glenn P. Jenkins Canada
Atsushi Iimi United States
Andrés Gómez‐Lobo Chile
Malcolm Abbott relative to Dieter Helm United Kingdom Dieter Helm's profile →
Citations per field
00.5×4.2×
Dieter Helm · 1×
Citations per year

Countries citing papers authored by Malcolm Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Malcolm Abbott, 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 Malcolm Abbott Line = papers co-authored together Malcolm Abbott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009237
2 2005101
3 200891
4 200461
5 201760
6 201150
7 201946
8 200145
9 201236
10 200029
11 201525
12 201522
13 201022
14 200522
15 200220
16 201617
17 201416
18 200716
19 200215
20 200614

About Malcolm Abbott

Malcolm Abbott is a scholar working on Economics and Econometrics, Strategy and Management, Education, Sociology and Political Science and Management Science and Operations Research, having authored 108 papers that have together received 1.3k indexed citations. Recurring topics across this work include Education Systems and Policy (15 papers), Efficiency Analysis Using DEA (13 papers), Fiscal Policy and Economic Growth (12 papers), Australian History and Society (12 papers), Electric Power System Optimization (11 papers), Transport and Economic Policies (10 papers), Housing Market and Economics (10 papers) and Higher Education Governance and Development (8 papers). The work is most often cited by research in Management Science and Operations Research (414 citations), Economics and Econometrics (463 citations), Strategy and Management (261 citations), Ocean Engineering (214 citations) and General Economics, Econometrics and Finance (97 citations). Malcolm Abbott has collaborated with scholars based in Australia, China and New Zealand. Frequent co-authors include Bruce Cohen, Hristos Doucouliagos, Wei Wang, Chris Carson, Hien Thu Tran, Phuong Anh Nguyen, Magdalena Kapelko, J. Stephen Brewer, Xiaoying Ma and Hanoku Bathula. Their work appears in journals such as Utilities Policy, The Electricity Journal, Australian Economic History Review, Labour History and Australian Journal of Public Administration.

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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