M.M.G. Fase

1.3k citations
72 papers · 704 indexed · h-index 14

M.M.G. Fase

57 papers receiving 561 citations

Peers

M.M.G. Fase
Comparison fields: 5 of 54
  • General Economics, Econometrics and Finance 362
  • Finance 236
  • Economics and Econometrics 457
  • Accounting 133
  • Visual Arts and Performing Arts 18
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Citations per year

Countries citing papers authored by M.M.G. Fase

Since Specialization
Citations

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

Fields of papers citing papers by M.M.G. Fase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.M.G. Fase. 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 M.M.G. Fase. The network helps show where M.M.G. Fase may publish in the future.

Co-authorship network

The 17 scholars most cited alongside M.M.G. Fase, 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 M.M.G. Fase Line = papers co-authored together M.M.G. Fase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20042
2
Investments in Painting: The interaction of monetary return and psychic income
20012
3
Measuring inflations: testing Carl Menger's concept of the inner value of money
20012
4
THE FEDERAL RESERVE SYSTEM DISCUSSED: A comparative analysis
20007
5
Wage moderation, innovation and labour productivity: myths and facts revisited
20000
6
Economics, welfare policy and the history of economic thought : essays in honour of Arnold Heertje
19992
7 19901
8 199011
9 19871
10 19851
11 198539
12 19833
13 198135
14 19798
15
Contributed Comments to "Seasonal Analysis of Economic Time Series"
19780
16
The endogeneity of monetary policy in the Netherlands
19773
17 19755
18 197318
19 197113
20
An econometric model of age-income profiles : a statistical analysis of Dutch income data 1958-1967
19702

About M.M.G. Fase

M.M.G. Fase is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 72 papers that have together received 704 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (24 papers), Economic Theory and Policy (19 papers), Economic theories and models (9 papers), Fiscal Policies and Political Economy (5 papers), Economic Growth and Productivity (5 papers), Housing Market and Economics (5 papers), Fiscal Policy and Economic Growth (5 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (362 citations), Finance (236 citations) and Economics and Econometrics (457 citations). M.M.G. Fase has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include W. C. Boeschoten, F.A.G. den Butter, Peter Krämer, Peter Vlaar, M. Nerlove, Jaap de Koning, David M. Grether, Jacob A. Bikker, Gabe de Bondt and Donald A. Walker. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Marketing Research.

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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