Mikael Bask

880 citations
43 papers · 556 · h-index 16

Impact in

Papers in

Mikael Bask

41 papers receiving 529 citations

Peers

Mikael Bask
Comparison fields: 5 of 73
  • General Economics, Econometrics and Finance 208
  • Finance 185
  • Economics and Econometrics 382
  • Statistical and Nonlinear Physics 87
  • General Decision Sciences 9
Replace Alexis Akira Toda with:
Alexis Akira Toda United States
Epaminondas Panas Greece
Seung-Mook Choi United States
Zhentao Shi Hong Kong
Jean-Marie Dufour Canada
Bryan W. Brown United States
Ruipeng Liu Australia
Sónia R. Bentes Portugal
Bas van Aarle Belgium
Jochen Jungeilges Norway
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Citations per field
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Alexis Akira Toda · 1×
Citations per year

Countries citing papers authored by Mikael Bask

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Bask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200457
2 200243
3 200633
4 199832
5 200928
6 199628
7 200627
8 200725
9 200722
10 200321
11 200821
12 200619
13 200218
14 200618
15 200616
16 200715
17 200714
18 200714
19 201113
20 200712

About Mikael Bask

Mikael Bask is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Statistical and Nonlinear Physics and Accounting, having authored 43 papers that have together received 556 indexed citations. Recurring topics across this work include Economic theories and models (21 papers), Monetary Policy and Economic Impact (21 papers), Complex Systems and Time Series Analysis (12 papers), Economic Theory and Policy (7 papers), Market Dynamics and Volatility (7 papers), Financial Markets and Investment Strategies (6 papers), Chaos control and synchronization (5 papers) and Corporate Finance and Governance (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (208 citations), Finance (185 citations), Economics and Econometrics (382 citations), Statistical and Nonlinear Physics (87 citations) and General Decision Sciences (9 citations). Mikael Bask has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include Tung Liu, Ramazan Gençay, Jarko Fidrmuc, Niklas Rudholm, Xavier de Luna, Miia Bask, Christian R. Proaño, Lars Forsberg, Matteo Magnani and Ilkka Mäkinen. Their work appears in journals such as Journal of Economics and Business, Chaos Solitons & Fractals, Energy Economics, PLoS ONE and Physica A Statistical Mechanics and its Applications.

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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