Andrew Urquhart

7.8k citations
127 papers · 4.8k indexed · 5 hit papers · h-index 29
Topics
Market Dynamics and Volatility (64 papers)Blockchain Technology Applications and Security (59 papers)Financial Markets and Investment Strategies (48 papers)

In The Last Decade

Andrew Urquhart

116 papers receiving 4.6k citations

Hit Papers

The inefficiency of Bitcoin201620262019202220162019201820172018250500750

Peers

Andrew Urquhart
Comparison fields: 5 of 98
  • Economics and Econometrics 3.8k
  • Information Systems 2.8k
  • Finance 2.0k
  • Management Science and Operations Research 552
  • Accounting 344
Replace Shaen Corbet with:
Shaen Corbet Ireland
Dehua Shen China
Ahmet Şensoy Türkiye
Tālis J. Putniņš Australia
Tomasz Piotr Wisniewski United Kingdom
Zhi Da United States
Paul C. Tetlock United States
Jonathan Brogaard United States
Bruno Biais France
Itay Goldstein United States
Andrew Urquhart relative to Shaen Corbet Ireland Shaen Corbet's profile →
Citations per field
00.5×10×20×34×
Shaen Corbet · 1×
Citations per year

Countries citing papers authored by Andrew Urquhart

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Urquhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Urquhart

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Urquhart. A scholar is included among the top collaborators of Andrew Urquhart 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 Andrew Urquhart. Andrew Urquhart 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 10
2 4
3 4
4 6
5 1
6 48
7 3
8 0
9 1
10 13
11 12
12 4
13 5
14 2
15 15
16 40
17
Uncertainty of Uncertainty and Firm Cash Holdings
1
18
Optimal vs. Naïve Diversification in Cryptocurrencies
0
19
Cryptocurrencies as a financial asset: A systematic analysis
11
20 86

About Andrew Urquhart

Andrew Urquhart is a scholar working on Finance, Economics and Econometrics and Information Systems, having authored 127 papers that have together received 4.8k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (64 papers), Blockchain Technology Applications and Security (59 papers) and Financial Markets and Investment Strategies (48 papers). The work is most often cited by research in Finance (2.0k citations), Economics and Econometrics (3.8k citations) and Information Systems (2.8k citations). Andrew Urquhart has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include Hanxiong Zhang, Robert Hudson, Pengfei Wang, Frank McGroarty, Emmanouil Platanakis, Dehua Shen, Kun Duan, Brian M. Lucey, Lisa Schopohl and Larisa Yarovaya. Their work appears in journals such as Nature, PLoS ONE and European Journal of Operational 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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