Hess Chung

972 citations
23 papers · 483 · h-index 11

Impact in

Papers in

Hess Chung

21 papers receiving 427 citations

Peers

Hess Chung
Comparison fields: 5 of 29
  • General Economics, Econometrics and Finance 430
  • Finance 199
  • Economics and Econometrics 347
  • Accounting 20
  • Development 6
Replace Sandeep Mazumder with:
Sandeep Mazumder United States
Jean‐Philippe Laforte United States
Javier García-Cicco Argentina
Charles L. Weise United States
Jonathan Kearns Switzerland
Güneş Kamber New Zealand
Olesya V. Grishchenko United States
André Minella Brazil
Erdal Özmen Türkiye
Tino Berger Germany
Hess Chung relative to Sandeep Mazumder United States Sandeep Mazumder's profile →
Citations per field
00.5×1.5×
Sandeep Mazumder · 1×
Citations per year

Countries citing papers authored by Hess Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hess Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012185
2 200783
3 200733
4
Estimating the macroeconomic effects of the Fed’s asset purchases
201125
5 200425
6 201023
7 201120
8 201119
9 202016
10 201914
11 201013
12 20155
13 20204
14 20143
15 20143
16 20213
17 20182
18 20142
19 20142
20 20181

About Hess Chung

Hess Chung is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, General Health Professions, Finance and Artificial Intelligence, having authored 23 papers that have together received 483 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (17 papers), Economic Theory and Policy (12 papers), Fiscal Policies and Political Economy (6 papers), Economic theories and models (5 papers), Labor market dynamics and wage inequality (4 papers), Employment and Welfare Studies (2 papers), Economic, financial, and policy analysis (2 papers) and Market Dynamics and Volatility (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (430 citations), Finance (199 citations), Economics and Econometrics (347 citations), Accounting (20 citations) and Development (6 citations). Hess Chung has collaborated with scholars based in United States and Poland. Frequent co-authors include Jean‐Philippe Laforte, David Reifschneider, John C. Williams, Eric M. Leeper, Troy Davig, Michael T. Kiley, Martin Bodenstein, Andrea Raffo, Matthias Paustian and David Ratner. Their work appears in journals such as Journal of money credit and banking, Journal of Economic Dynamics and Control, NBER Macroeconomics Annual, Finance and Economics Discussion Series and SSRN Electronic Journal.

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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