Thomas Conlon

3.4k total citations · 2 hit papers
92 papers, 2.4k citations indexed

About

Thomas Conlon is a scholar working on Economics and Econometrics, Finance and Information Systems. According to data from OpenAlex, Thomas Conlon has authored 92 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Economics and Econometrics, 44 papers in Finance and 22 papers in Information Systems. Recurrent topics in Thomas Conlon's work include Market Dynamics and Volatility (45 papers), Financial Markets and Investment Strategies (24 papers) and Blockchain Technology Applications and Security (21 papers). Thomas Conlon is often cited by papers focused on Market Dynamics and Volatility (45 papers), Financial Markets and Investment Strategies (24 papers) and Blockchain Technology Applications and Security (21 papers). Thomas Conlon collaborates with scholars based in Ireland, New Zealand and United States. Thomas Conlon's co-authors include Richard McGee, Shaen Corbet, John Cotter, Don Bredın, Valerio Potì, Heather J. Ruskin, Martin Crane, Muhammad Abubakr Naeem, Ramazan Gençay and Gazi Salah Uddin and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Journal of Environmental Management.

In The Last Decade

Thomas Conlon

79 papers receiving 2.3k citations

Hit Papers

Safe haven or risky hazard? Bitcoin during the Covid-19 b... 2020 2026 2022 2024 2020 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Conlon Ireland 21 2.1k 895 873 213 206 92 2.4k
Lee A. Smales Australia 25 1.9k 0.9× 436 0.5× 1.1k 1.2× 254 1.2× 464 2.3× 101 2.3k
Yang Hou New Zealand 22 1.3k 0.6× 378 0.4× 599 0.7× 221 1.0× 160 0.8× 64 1.6k
Shoaib Ali Pakistan 25 1.4k 0.7× 396 0.4× 751 0.9× 448 2.1× 153 0.7× 113 1.9k
Thomas Dimpfl Germany 21 1.7k 0.8× 896 1.0× 960 1.1× 89 0.4× 180 0.9× 62 2.1k
Khamis Hamed Al‐Yahyaee Oman 33 2.7k 1.3× 700 0.8× 1.1k 1.2× 650 3.1× 485 2.4× 83 3.3k
Thomas Walther Germany 14 1.1k 0.5× 604 0.7× 399 0.5× 53 0.2× 131 0.6× 49 1.3k
Constantin Gurdgiev United States 13 983 0.5× 287 0.3× 397 0.5× 115 0.5× 247 1.2× 59 1.3k
Dehua Shen China 31 2.2k 1.1× 928 1.0× 1.6k 1.8× 529 2.5× 108 0.5× 100 3.1k
Gerald P. Dwyer United States 20 1.3k 0.6× 499 0.6× 933 1.1× 344 1.6× 637 3.1× 81 1.9k
Paraskevi Katsiampa United Kingdom 17 1.9k 0.9× 1.4k 1.6× 882 1.0× 41 0.2× 62 0.3× 28 2.1k

Countries citing papers authored by Thomas Conlon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Conlon

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Conlon. A scholar is included among the top collaborators of Thomas Conlon 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 Thomas Conlon. Thomas Conlon 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
1.
Conlon, Thomas, et al.. (2025). Persistence and Market Timing Ability of Cryptocurrency Funds. Financial Management. 54(4). 791–816.
2.
Conlon, Thomas, et al.. (2025). Trends and key determinants of firm-level integration. Journal of International Money and Finance. 157. 103376–103376. 1 indexed citations
3.
Conlon, Thomas, et al.. (2025). Corporate reputational dynamics and their impact on global commodity markets. Journal of commodity markets. 37. 100459–100459.
4.
Conlon, Thomas, Shaen Corbet, & Les Oxley. (2024). The influence of European MiCa regulation on cryptocurrencies. Global Finance Journal. 63. 101040–101040. 2 indexed citations
5.
Conlon, Thomas, Shaen Corbet, Yang Hou, et al.. (2024). Understanding sentiment shifts in central bank digital currencies. Journal of Behavioral and Experimental Finance. 44. 100988–100988. 5 indexed citations
6.
Conlon, Thomas, et al.. (2024). The Influence of Social Media Emotions: Evidence from the Kodak Manic Episode. Journal of Behavioral Finance. 27(1). 13–40.
7.
Conlon, Thomas, et al.. (2024). Climate Risk and Financial Stability: Evidence from Syndicated Lending. SSRN Electronic Journal.
8.
Conlon, Thomas, Shaen Corbet, & Yang Hou. (2024). Navigating the green transition: the influence of energy volatility on green and sustainable ETFs. Applied Economics Letters. 32(18). 2619–2625. 4 indexed citations
9.
Conlon, Thomas, Shaen Corbet, & Richard McGee. (2024). Enduring relief or fleeting respite? Bitcoin as a hedge and safe haven for the US dollar. Annals of Operations Research. 337(1). 45–73. 4 indexed citations
10.
Conlon, Thomas, et al.. (2024). HACKED: Understanding the stock market response to cyberattacks. Journal of International Financial Markets Institutions and Money. 97. 102082–102082. 5 indexed citations
11.
Conlon, Thomas, et al.. (2023). A financial modeling approach to industry exchange-traded funds selection. Journal of Empirical Finance. 74. 101441–101441.
12.
Conlon, Thomas, et al.. (2023). Does national culture influence malfeasance in banks around the world?. Journal of International Financial Markets Institutions and Money. 90. 101888–101888. 4 indexed citations
13.
Conlon, Thomas, Shaen Corbet, & Yang Hu. (2023). The collapse of the FTX exchange: The end of cryptocurrency's age of innocence. The British Accounting Review. 101277–101277. 35 indexed citations
14.
Conlon, Thomas, Shaen Corbet, & Yang Hu. (2023). Understanding the Contagion Effects of the FTX Exchange Collapse. SSRN Electronic Journal.
15.
Conlon, Thomas, Shaen Corbet, & Richard McGee. (2023). The Bitcoin Volume-volatility Relationship: a High Frequency Analysis of Futures and Spot Exchanges. SSRN Electronic Journal.
16.
Conlon, Thomas, Shaen Corbet, John W. Goodell, Yang Hou, & Les Oxley. (2023). Financial market information flows when counteracting rogue states: The indirect effects of targeted sanction packages. Journal of Economic Behavior & Organization. 217. 32–62. 9 indexed citations
17.
Conlon, Thomas & Shaen Corbet. (2023). The Problem with NFTs. SSRN Electronic Journal. 2 indexed citations
18.
Conlon, Thomas, et al.. (2023). Understanding the FTX Exchange Collapse: A Dynamic Connectedness Approach. SSRN Electronic Journal. 3 indexed citations
19.
Conlon, Thomas, Shaen Corbet, & Richard McGee. (2020). Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic. Research in International Business and Finance. 54. 101248–101248. 454 indexed citations breakdown →
20.
Conlon, Thomas. (1977). The Aircraft Mortgages Convention: The United Kingdom Moves Toward Ratification. SMU Scholar (Southern Methodist University). 43(4). 731.

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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