Jeffrey Chu

2.1k citations
31 papers · 1.5k indexed · 2 hit papers · h-index 16
Topics
Complex Systems and Time Series Analysis (16 papers)Market Dynamics and Volatility (11 papers)Financial Risk and Volatility Modeling (7 papers)

In The Last Decade

Jeffrey Chu

29 papers receiving 1.5k citations

Hit Papers

On the inefficiency of Bitcoin201620262019202220162017100200300400

Peers

Jeffrey Chu
Comparison fields: 5 of 94
  • Economics and Econometrics 1.2k
  • Information Systems 912
  • Finance 634
  • Management Science and Operations Research 184
  • Management Information Systems 75
Replace Stephen Chan with:
Stephen Chan United Kingdom
John Fry United Kingdom
Taisei Kaizoji Japan
Alessandro Spelta Italy
Johan Waldén United States
Hsin‐Min Lu Taiwan
Κωνσταντίνος Γκίλλας Greece
Paolo Pagnottoni Italy
Ahmed BenSaïda Tunisia
Nikola Gradojević Canada
Jeffrey Chu relative to Stephen Chan United Kingdom Stephen Chan's profile →
Citations per field
00.5×1.7×
Stephen Chan · 1×
Citations per year

Countries citing papers authored by Jeffrey Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Chu. A scholar is included among the top collaborators of Jeffrey Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey Chu. Jeffrey Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 1
5 16
6 13
7 54
8 34
9 30
10 25
11 23
12 1
13 136
14
GARCH Modelling of Cryptocurrenciesbreakdown →
249
15 9
16 8
17 6
18 131
19 2
20 5

About Jeffrey Chu

Jeffrey Chu is a scholar working on Finance, Statistics and Probability and Economics and Econometrics, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (16 papers), Market Dynamics and Volatility (11 papers) and Financial Risk and Volatility Modeling (7 papers). The work is most often cited by research in Finance (634 citations), Economics and Econometrics (1.2k citations) and Information Systems (912 citations). Jeffrey Chu has collaborated with scholars based in United Kingdom, United Arab Emirates and China. Frequent co-authors include Saralees Nadarajah, Stephen Chan, Joerg Osterrieder, Yuanyuan Zhang, Hana Sulieman, Xiao Jiang, Brandon Chan, Huwei Wen, Ying Xu and Nicholas Lord. Their work appears in journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications and Economics Letters.

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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