Scott Sumner

734 citations
50 papers · 481 · h-index 12

Impact in

Papers in

Scott Sumner

42 papers receiving 407 citations

Peers

Scott Sumner
Comparison fields: 5 of 44
  • General Economics, Econometrics and Finance 303
  • Finance 191
  • Economics and Econometrics 248
  • Hepatology 44
  • Transplantation 12
Replace Marco M. Sorge with:
Marco M. Sorge Italy
Stefano Zedda Italy
Jim Love United Kingdom
Marc Klau United States
F. Carlos Mexico
Dimitris Papageorgiou Greece
Giovanni Verga Italy
Luigi Ventura Italy
Elena Bobeica Germany
Jesús Vázquez Spain
Scott Sumner relative to Marco M. Sorge Italy Marco M. Sorge's profile →
Citations per field
00.5×8.8×
Marco M. Sorge · 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 12 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200570
2 198956
3 201241
4 198940
5
Nominal GDP Targeting: A Simple Rule to Improve Fed Performance
201436
6 199326
7 201421
8 199520
9 199320
10 200616
11 201314
12 199713
13 199011
14 199710
15 19959
16
The Money Illusion: Market Monetarism, the Great Recession, and the Future of Monetary Policy
20218
17 19997
18 20066
19
Some Observations on the Return of the Liquidity Trap
20025
20 19915

About Scott Sumner

Scott Sumner is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Surgery and Political Science and International Relations, having authored 50 papers that have together received 481 indexed citations. Recurring topics across this work include Economic Theory and Policy (24 papers), Monetary Policy and Economic Impact (23 papers), Global Financial Crisis and Policies (15 papers), Economic theories and models (7 papers), Economic Theory and Institutions (5 papers), Fiscal Policies and Political Economy (3 papers), Market Dynamics and Volatility (3 papers) and Banking stability, regulation, efficiency (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (303 citations), Finance (191 citations), Economics and Econometrics (248 citations), Hepatology (44 citations) and Transplantation (12 citations). Scott Sumner has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Stephen Silver, Patrice Al‐Saden, David A. Axelrod, Michaël Abécassis, Gwen McNatt, Talia Baker, V. Miké, Alan J. Koffron, 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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