Malcolm Sawyer

5.7k citations
204 papers · 2.6k · h-index 26

Impact in

Papers in

Malcolm Sawyer

186 papers receiving 2.1k citations

Peers

Malcolm Sawyer
Comparison fields: 5 of 91
  • General Economics, Econometrics and Finance 1.6k
  • Finance 820
  • Economics and Econometrics 1.5k
  • Public Administration 56
  • Accounting 166
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Mark Bils United States
Engelbert Stockhammer United Kingdom
Lee E. Ohanian United States
Gerald Epstein United States
Romain Duval United States
Oleg Itskhoki United States
D. E. Moggridge Canada
Gilbert Cette France
Jaume Ventura Spain
Ludger Schuknecht Germany
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 201590
3
Theories of the firm
197978
4 200872
5 198667
6 198565
7 200764
8 200559
9 200355
10 198550
11 197446
12 198944
13 200243
14 199842
15 200438
16 197637
17 200036
18 201035
19 198835
20 201133

About Malcolm Sawyer

Malcolm Sawyer is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Sociology and Political Science and Strategy and Management, having authored 204 papers that have together received 2.6k indexed citations. Recurring topics across this work include Economic Theory and Policy (97 papers), Monetary Policy and Economic Impact (41 papers), Global Financial Crisis and Policies (35 papers), Economic theories and models (31 papers), Political Economy and Marxism (26 papers), Fiscal Policies and Political Economy (22 papers), Housing, Finance, and Neoliberalism (22 papers) and Economic Theory and Institutions (15 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.6k citations), Finance (820 citations), Economics and Econometrics (1.5k citations), Public Administration (56 citations) and Accounting (166 citations). Malcolm Sawyer has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Philip Arestis, Giuseppe Fontana, A. Asimakopulos, Keith Cowling, Gavin Reid, Michelle Baddeley, John Foster, Marco Veronese Passarella, Andrew Brown and Yew‐Kwang Ng. Their work appears in journals such as The Economic Journal, Review of Political Economy, Cambridge Journal of Economics, Economica and Oxford Economic Papers.

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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