Michael T. Sumner

751 citations
42 papers · 392 · h-index 9

Impact in

Papers in

Michael T. Sumner

36 papers receiving 274 citations

Peers

Michael T. Sumner
Comparison fields: 5 of 52
  • General Economics, Econometrics and Finance 166
  • Economics and Econometrics 276
  • General Decision Sciences 11
  • Finance 51
  • Public Administration 11
Replace Gardner Ackley with:
Gardner Ackley United States
John Fender United Kingdom
Joan Robinson United Kingdom
Peter N. Smith United Kingdom
Marcus Hagedorn United States
Subramanian Swamy United States
Geoff Hodgson United Kingdom
Yiannis P. Venieris United States
Daniel Heymann Argentina
Michel R. De Vroey Belgium
Michael T. Sumner relative to Gardner Ackley United States Gardner Ackley's profile →
Citations per field
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Gardner Ackley · 1×
Citations per year

Countries citing papers authored by Michael T. Sumner

Since Specialization
Citations

This map shows the geographic impact of Michael T. Sumner'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 Michael T. Sumner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Sumner more than expected).

Fields of papers citing papers by Michael T. Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Sumner. 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 Michael T. Sumner. The network helps show where Michael T. Sumner may publish in the future.

Co-authors

The 14 scholars most cited alongside Michael T. Sumner, 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 Michael T. Sumner Line = papers co-authored together Michael T. Sumner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197949
2 197346
3 198043
4 197937
5 198132
6 197630
7 197123
8 197515
9
Inflation in the United Kingdom
197815
10 19808
11 20028
12 19837
13 20046
14 19746
15 19825
16 20044
17 19734
18 20054
19 19914
20 19784

About Michael T. Sumner

Michael T. Sumner is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Accounting, Gender Studies and Finance, having authored 42 papers that have together received 392 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (14 papers), Economic Theory and Policy (8 papers), Monetary Policy and Economic Impact (8 papers), Gender, Labor, and Family Dynamics (4 papers), Corporate Taxation and Avoidance (4 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Economic theories and models (3 papers) and Global Financial Crisis and Policies (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (166 citations), Economics and Econometrics (276 citations), General Decision Sciences (11 citations), Finance (51 citations) and Public Administration (11 citations). Michael T. Sumner has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael Parkin, Takashi Negishi, Robert B. Ward, M. J. Artis, Werner Leinfellner, Hans W. Gottinger, Fred R. Hirsch, James A. Trevithick, John H. Goldthorpe and Robert Ward. Their work appears in journals such as The Economic Journal, Canadian Public Policy, Oxford Economic Papers, Journal of Political Economy and Journal of Public Economics.

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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