Leo Michelis

2.7k citations
23 papers · 1.9k indexed · 1 hit paper · h-index 10

Leo Michelis

20 papers receiving 1.7k citations

Hit Papers

Numerical distribution functions of likelihood ratio test...1.5k19992026200820174008001.2k

Peers

Leo Michelis
Comparison fields: 5 of 83
  • General Economics, Econometrics and Finance 1.1k
  • Finance 635
  • Economics and Econometrics 1.5k
  • Renewable Energy, Sustainability and the Environment 231
  • Accounting 140
Replace L. Vanessa Smith with:
L. Vanessa Smith United Kingdom
In-Moo Kim South Korea
Bahram Pesaran United Kingdom
Josep Lluís Carrion‐i‐Silvestre Spain
Elias Tzavalis Greece
Rocco Mosconi Italy
Abbas Valadkhani Australia
Lennart Hjalmarsson Sweden
Subrata Kumar Mitra India
Donggyu Sul United States
Leo Michelis relative to L. Vanessa Smith United Kingdom L. Vanessa Smith's profile →
Citations per field
00.5×1.6×
L. Vanessa Smith · 1×
Citations per year

Countries citing papers authored by Leo Michelis

Since Specialization
Citations

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

Fields of papers citing papers by Leo Michelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Leo Michelis, 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 Leo Michelis Line = papers co-authored together Leo Michelis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20190
2
The Greek Debt Crisis: Suggested Solutions and Reforms
20111
3 20102
4 20101
5 201024
6 20090
7 200812
8 20072
9 20063
10 20051
11 20051
12 200435
13 200414
14 200419
15 200347
16 200058
17 199910
18 1999185
19 19962
20 19951

About Leo Michelis

Leo Michelis is a scholar working on General Economics, Econometrics and Finance, Statistics and Probability and Finance, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (12 papers), Economic Growth and Productivity (6 papers), Economic theories and models (6 papers), Fiscal Policy and Economic Growth (5 papers), Global Financial Crisis and Policies (4 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Inference (4 papers) and Economic Theory and Policy (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.1k citations), Finance (635 citations) and Economics and Econometrics (1.5k citations). Leo Michelis has collaborated with scholars based in Canada, Greece and New Zealand. Frequent co-authors include Alfred A. Haug, James G. MacKinnon, Cathy Ning, Athanasios P. Papadopoulos, Gregory T. Papanikos, Simon Neaime, Arman Mansoorian, L. Yang, Mohammed Mohsin and Thanasis Stengos. Their work appears in journals such as Journal of Econometrics, Economics Letters and Journal of International Money and Finance.

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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