Scott Sumner

818 citations
37 papers · 376 · h-index 11

Impact in

Papers in

Scott Sumner

33 papers receiving 316 citations

Peers

Scott Sumner
Comparison fields: 5 of 44
  • General Economics, Econometrics and Finance 201
  • Finance 131
  • Economics and Econometrics 193
  • Hepatology 50
  • Transplantation 12
Replace Marco Jacopo Lombardi with:
Marco Jacopo Lombardi Italy
Jim Love United Kingdom
Stefano Zedda Italy
Udo Emmanuel Samuel Nigeria
Marc H. Klau United States
Dimitra Dimitropoulou Greece
F. Carlos Mexico
Giovanni Verga Italy
John M. Fry United Kingdom
Yosuke Kido United States
Scott Sumner relative to Marco Jacopo Lombardi Italy Marco Jacopo Lombardi's profile →
Citations per field
00.5×2×4×5.6×
Marco Jacopo Lombardi · 1×
Citations per year

Countries citing papers authored by Scott Sumner

Since Specialization
Citations

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

Fields of papers citing papers by Scott Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Scott 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 Scott Sumner Line = papers co-authored together Scott Sumner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 198951
3
Nominal GDP Targeting: A Simple Rule to Improve Fed Performance
201428
4 198928
5 199326
6 201417
7 199316
8 199514
9 199114
10 199714
11 199011
12 199211
13 19999
14 20068
15 19955
16 20045
17
The Money Illusion: Market Monetarism, the Great Recession, and the Future of Monetary Policy
20215
18 20064
19
Some Observations on the Return of the Liquidity Trap
20024
20 19954

About Scott Sumner

Scott Sumner is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Hepatology and Management Science and Operations Research, having authored 37 papers that have together received 376 indexed citations. Recurring topics across this work include Economic Theory and Policy (20 papers), Monetary Policy and Economic Impact (18 papers), Global Financial Crisis and Policies (12 papers), Economic theories and models (6 papers), Economic Theory and Institutions (5 papers), Fiscal Policies and Political Economy (3 papers), Market Dynamics and Volatility (3 papers) and Economic Growth and Productivity (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (201 citations), Finance (131 citations), Economics and Econometrics (193 citations), Hepatology (50 citations) and Transplantation (12 citations). Scott Sumner has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephen Silver, Gwen Elise McNatt, Patrice C. Al-Saden, Michaël Abécassis, David A. Axelrod, Alan J. Koffron, Talia Baker, V. Miké, Jonathan Kirshner and Stephen G. Grubaugh. Their work appears in journals such as Journal of money credit and banking, Cato Journal, Economic Inquiry, Explorations in Economic History and Economics Letters.

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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