László Mátyás

2.9k citations
56 papers · 1.7k indexed · h-index 18

László Mátyás

47 papers receiving 1.5k citations

Peers

László Mátyás
Comparison fields: 5 of 115
  • General Economics, Econometrics and Finance 879
  • Economics and Econometrics 1.1k
  • Strategy and Management 441
  • Development 86
  • Finance 235
Replace Jan F. Kiviet with:
Jan F. Kiviet Netherlands
R. G. D. Allen Canada
Boriss Siliverstovs Switzerland
John W. Galbraith Canada
Seung C. Ahn United States
Peter Burridge United Kingdom
Michael Funke Germany
John Kennan United States
Vasco M. Carvalho United Kingdom
José Luís Raymond Bara Spain
László Mátyás relative to Jan F. Kiviet Netherlands Jan F. Kiviet's profile →
Citations per field
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Citations per year

Countries citing papers authored by László Mátyás

Since Specialization
Citations

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

Fields of papers citing papers by László Mátyás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20221
4 20170
5 20161
6 20160
7
A közgazdasági adatforradalom és a panelökonometria
20142
8 201210
9 200887
10 200825
11 200486
12
Modelling the Impact of Environmental Regulations on Bilateral Trade Flows: OECD 1990-96
20005
13
Modelling Export Activity of Eleven APEC Countries
20004
14 199993
15 1998162
16 19971
17 1996120
18 1994102
19 19929
20 19672

About László Mátyás

László Mátyás is a scholar working on General Economics, Econometrics and Finance, Geography, Planning and Development, Economics and Econometrics, Statistical and Nonlinear Physics and Political Science and International Relations, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (11 papers), Global trade and economics (9 papers), Fiscal Policy and Economic Growth (8 papers), Regional Development and Policy (7 papers), Hungarian Social, Economic and Educational Studies (6 papers), Economic Growth and Productivity (6 papers), Monetary Policy and Economic Impact (6 papers) and Global Trade and Competitiveness (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (879 citations), Economics and Econometrics (1.1k citations), Strategy and Management (441 citations), Development (86 citations) and Finance (235 citations). László Mátyás has collaborated with scholars based in Australia, Hungary and France. Frequent co-authors include Patrick Sevestre, Mark N. Harris, Guido M. Kuersteiner, László Kónya, Max Gillman, Hedley Rees, Imre Ferenc Barna, Tom Wansbeek, János Kornai and Gérard Roland. Their work appears in journals such as World Economy, Chaos Solitons & Fractals, Economics Letters, Empirical Economics and International Journal of Mass Spectrometry.

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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