Te Bao

1.1k citations
63 papers · 595 · h-index 15

Impact in

Papers in

    • Complex Systems and Time Series Analysis 22
    • Economic theories and models 12
    • Housing Market and Economics 10
    • Financial Markets and Investment Strategies 26

Te Bao

56 papers receiving 587 citations

Peers

Te Bao
Comparison fields: 5 of 64
  • General Decision Sciences 91
  • Finance 257
  • Economics and Econometrics 410
  • General Economics, Econometrics and Finance 126
  • Safety Research 119
Replace Serena Guarnaschelli with:
Serena Guarnaschelli United States
Christoph Merkle Germany
Changcheng Song Singapore
David Disatnik Israel
Yuval Salant United States
Edoardo Rainone Italy
Christopher Buccafusco United States
James E. Hartley United States
Brian J. Glenn United States
Michael W.K. Malouf United States
Te Bao relative to Serena Guarnaschelli United States Serena Guarnaschelli's profile →
Citations per field
00.5×6.4×
Serena Guarnaschelli · 1×
Citations per year

Countries citing papers authored by Te Bao

Since Specialization
Citations

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

Fields of papers citing papers by Te Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201288
2 201763
3 201359
4 201629
5 201223
6 201720
7 202318
8 202118
9 201918
10 201917
11 201917
12 202316
13 201116
14 202116
15 201915
16 201913
17 201512
18 201712
19 201612
20 20219

About Te Bao

Te Bao is a scholar working on Economics and Econometrics, Finance, Safety Research, General Decision Sciences and Management Science and Operations Research, having authored 63 papers that have together received 595 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (26 papers), Complex Systems and Time Series Analysis (22 papers), Experimental Behavioral Economics Studies (18 papers), Decision-Making and Behavioral Economics (14 papers), Economic theories and models (12 papers), Housing Market and Economics (10 papers), Forecasting Techniques and Applications (5 papers) and Monetary Policy and Economic Impact (5 papers). The work is most often cited by research in General Decision Sciences (91 citations), Finance (257 citations), Economics and Econometrics (410 citations), General Economics, Econometrics and Finance (126 citations) and Safety Research (119 citations). Te Bao has collaborated with scholars based in Singapore, Netherlands and China. Frequent co-authors include Cars Hommes, Jan Tuinstra, John Duffy, Joep Sonnemans, Mikhail Anufriev, Yohanes E. Riyanto, Xiaohua Yu, Yonggang Wen, Bin Liang and Li Ding. Their work appears in journals such as Journal of Economic Dynamics and Control, Journal of Economic Behavior & Organization, China Economic Review, Journal of Behavioral and Experimental Finance and Management Science.

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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