Thomas Wu

448 citations
16 papers · 233 · h-index 9

Impact in

Papers in

Thomas Wu

16 papers receiving 225 citations

Peers

Thomas Wu
Comparison fields: 5 of 35
  • Finance 156
  • General Economics, Econometrics and Finance 82
  • Accounting 68
  • Economics and Econometrics 148
  • General Decision Sciences 5
Replace Nicholas Vause with:
Nicholas Vause United Kingdom
Christian Heyerdahl-Larsen United States
Rosanne Vanpée Belgium
Christos I. Giannikos United States
Herakles Polemarchakis United Kingdom
Job Swank Netherlands
Harald Benink Netherlands
Thomas F. Gosnell United States
José Fajardo Brazil
Giuseppe Cappelletti Italy
Thomas Wu relative to Nicholas Vause United Kingdom Nicholas Vause's profile →
Citations per field
00.5×1.5×2.5×
Nicholas Vause · 1×
Citations per year

Countries citing papers authored by Thomas Wu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Thomas Wu, 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 Thomas Wu Line = papers co-authored together Thomas Wu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201044
2 201240
3 202039
4 200718
5 200618
6 201117
7 201317
8 201213
9 20068
10 20216
11 20044
12 20023
13 20142
14 20102
15
Câmbio, juros e o movimento de reservas: Faz sentido o uso de um "quebra-molas"?
20021
16 20081

About Thomas Wu

Thomas Wu is a scholar working on Finance, General Economics, Econometrics and Finance, Economics and Econometrics, Management Science and Operations Research and Accounting, having authored 16 papers that have together received 233 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (9 papers), Financial Markets and Investment Strategies (8 papers), Global Financial Crisis and Policies (5 papers), Economic Theory and Policy (4 papers), Market Dynamics and Volatility (4 papers), Banking stability, regulation, efficiency (2 papers), Stock Market Forecasting Methods (2 papers) and Fiscal Policy and Economic Growth (2 papers). The work is most often cited by research in Finance (156 citations), General Economics, Econometrics and Finance (82 citations), Accounting (68 citations), Economics and Econometrics (148 citations) and General Decision Sciences (5 citations). Thomas Wu has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Jordi Mondria, Rasmus Fatum, Michael M. Hutchison, Péter Cziráki, Yi Zhang and Xin Wang. Their work appears in journals such as Review of Development Economics, Journal of Economic Dynamics and Control, Journal of the Japanese and International Economies, Management Science and Canadian Journal of Economics/Revue canadienne d économique.

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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