Michael T. Kiley

4.3k citations
120 papers · 2.2k · h-index 24

Impact in

Papers in

Michael T. Kiley

118 papers receiving 2.0k citations

Peers

Michael T. Kiley
Comparison fields: 5 of 58
  • General Economics, Econometrics and Finance 1.6k
  • Finance 720
  • Economics and Econometrics 1.7k
  • Accounting 139
  • Management Science and Operations Research 46
Replace Matteo Ciccarelli with:
Matteo Ciccarelli Germany
Eric Sims United States
Guido Ascari Italy
Saten Kumar New Zealand
Tommaso Monacelli Italy
Andrea Tambalotti United States
Benoı̂t Mojon France
Jesper Lindé Sweden
Daniel A. Dias United States
Pau Rabanal United States
Michael T. Kiley relative to Matteo Ciccarelli Germany Matteo Ciccarelli's profile →
Citations per field
00.5×1.6×
Matteo Ciccarelli · 1×
Citations per year

Countries citing papers authored by Michael T. Kiley

Since Specialization
Citations

This map shows the geographic impact of Michael T. Kiley'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. Kiley 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. Kiley more than expected).

Fields of papers citing papers by Michael T. Kiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999121
2 2007110
3 2017108
4 200787
5 201187
6 201084
7 200984
8 200276
9 201673
10 199656
11 201953
12 201550
13 200049
14 201447
15 201743
16 201543
17 200443
18 199939
19 201235
20 201334

About Michael T. Kiley

Michael T. Kiley is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Accounting and General Health Professions, having authored 120 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (95 papers), Economic Theory and Policy (51 papers), Economic theories and models (35 papers), Market Dynamics and Volatility (21 papers), Banking stability, regulation, efficiency (20 papers), Global Financial Crisis and Policies (20 papers), Fiscal Policies and Political Economy (13 papers) and Economic Growth and Productivity (11 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.6k citations), Finance (720 citations), Economics and Econometrics (1.7k citations), Accounting (139 citations) and Management Science and Operations Research (46 citations). Michael T. Kiley has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jean‐Philippe Laforte, Rochelle M. Edge, John M. Roberts, Jae Sim, Jinill Kim, Skander Van den Heuvel, Jane Dokko, Shane M. Sherlund, Ben Bernanke and Hess Chung. Their work appears in journals such as Journal of money credit and banking, Brookings Papers on Economic Activity, Economics Letters, Economic Inquiry and Journal of Economic Dynamics and Control.

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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