Malcolm Sawyer

5.8k citations
309 papers · 3.7k · h-index 32

Impact in

Papers in

Malcolm Sawyer

272 papers receiving 2.8k citations

Peers

Malcolm Sawyer
Comparison fields: 5 of 94
  • General Economics, Econometrics and Finance 2.3k
  • Finance 1.2k
  • Economics and Econometrics 2.2k
  • Accounting 201
  • Public Administration 62
Replace Thomas I. Palley with:
Thomas I. Palley United States
Engelbert Stockhammer United Kingdom
Mark Bils United States
Lee E. Ohanian United States
Gerald Epstein United States
Jaume Ventura Spain
D. E. Moggridge Canada
Michael Bleaney United Kingdom
Paul Davidson United States
Ludger Schuknecht Germany
Malcolm Sawyer relative to Thomas I. Palley United States Thomas I. Palley's profile →
Citations per field
00.5×1.5×
Thomas I. Palley · 1×
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 309 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013147
2
Theories of the firm
1979100
3 201598
4 198595
5 200884
6 198683
7 200581
8 200775
9 200471
10 197666
11 200365
12 200462
13 199854
14 197452
15 198551
16 198949
17 200248
18 198842
19 201041
20 200040

About Malcolm Sawyer

Malcolm Sawyer is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Sociology and Political Science and Political Science and International Relations, having authored 309 papers that have together received 3.7k indexed citations. Recurring topics across this work include Economic Theory and Policy (142 papers), Monetary Policy and Economic Impact (60 papers), Global Financial Crisis and Policies (52 papers), Economic theories and models (39 papers), Political Economy and Marxism (36 papers), Fiscal Policies and Political Economy (32 papers), Housing, Finance, and Neoliberalism (30 papers) and Economic Theory and Institutions (26 papers). The work is most often cited by research in General Economics, Econometrics and Finance (2.3k citations), Finance (1.2k citations), Economics and Econometrics (2.2k citations), Accounting (201 citations) and Public Administration (62 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, Michelle Baddeley, Gavin Reid, Paul A. Smith, S. G. B. Henry, John Foster and Andrew Brown. 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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