Brian M. Lucey

29.7k citations
490 papers · 19.6k · 20 hit papers · h-index 67

Impact in

  • Finance top 0.05%
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling
    • Market Dynamics and Volatility
    • Energy, Environment, Economic Growth
    • Complex Systems and Time Series Analysis
    • COVID-19 Pandemic Impacts

Papers in

    • Market Dynamics and Volatility 275
    • Energy, Environment, Economic Growth 86
    • Complex Systems and Time Series Analysis 66
    • Financial Markets and Investment Strategies 105
    • Financial Risk and Volatility Modeling 61
    • Global Financial Crisis and Policies 38

Brian M. Lucey

453 papers receiving 18.9k citations

Brian M. Lucey's Hit Papers

ChatGPT for (Finance) research: The Bananarama Conjecture 2023 · 428 citations
4280+2+4Years since publication200400600

Peers

Brian M. Lucey
Comparison fields: 5 of 167
  • Finance 6.5k
  • Economics and Econometrics 15.3k
  • General Energy 421
  • General Economics, Econometrics and Finance 3.0k
  • Information Systems 4.9k
Replace Nicholas Bloom with:
Nicholas Bloom United States
John W. Goodell United States
Walter Enders United States
M. Kabir Hassan United States
Ender Demir Türkiye
John Van Reenen United Kingdom
Aviral Kumar Tiwari India
Elie Bouri Lebanon
Rangan Gupta South Africa
Christopher A. Sims United States
Brian M. Lucey relative to Nicholas Bloom United States Nicholas Bloom's profile →
Citations per field
00.5×5.2×
Nicholas Bloom · 1×
Citations per year

Countries citing papers authored by Brian M. Lucey

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Lucey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Lucey. 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 Brian M. Lucey. The network helps show where Brian M. Lucey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 490 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold
Hit paper breakdown →
20101721
2
Exploring the dynamic relationships between cryptocurrencies and other financial assets
Hit paper breakdown →
20181053
3
The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies
Hit paper breakdown →
2020711
4
Hedges and safe havens: An examination of stocks, bonds, gold, oil and exchange rates
Hit paper breakdown →
2012565
5
ChatGPT for (Finance) research: The Bananarama Conjecture
Hit paper breakdown →
2023428
6
Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis
Hit paper breakdown →
2020413
7
Is gold a hedge or a safe-haven asset in the COVID–19 crisis?
Hit paper breakdown →
2021367
8
Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests
Hit paper breakdown →
2022339
9 2006311
10 2005271
11 2015245
12 2014244
13 2009241
14
Volatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis
Hit paper breakdown →
2019238
15 2008231
16
Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies
Hit paper breakdown →
2022216
17
High frequency volatility co-movements in cryptocurrency markets
Hit paper breakdown →
2019216
18
Bitcoin Futures—What use are they?
Hit paper breakdown →
2018216
19
A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies
Hit paper breakdown →
2022211
20 2009206

About Brian M. Lucey

Brian M. Lucey is a scholar working on Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Information Systems and Accounting, having authored 490 papers that have together received 19.6k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (275 papers), Financial Markets and Investment Strategies (105 papers), Energy, Environment, Economic Growth (86 papers), Blockchain Technology Applications and Security (77 papers), Monetary Policy and Economic Impact (73 papers), Complex Systems and Time Series Analysis (66 papers), Financial Risk and Volatility Modeling (61 papers) and Global Financial Crisis and Policies (38 papers). The work is most often cited by research in Finance (6.5k citations), Economics and Econometrics (15.3k citations), General Energy (421 citations), General Economics, Econometrics and Finance (3.0k citations) and Information Systems (4.9k citations). Brian M. Lucey has collaborated with scholars based in Ireland, China and Vietnam. Frequent co-authors include Dirk G. Baur, Shaen Corbet, Larisa Yarovaya, Charles Larkin, Michael Dowling, Samuel A. Vigne, Cetin Ciner, Andrew Meegan, Sitara Karim and Edel Tully. Their work appears in journals such as Finance research letters, Research in International Business and Finance, Energy Economics, Journal of International Financial Markets Institutions and Money and International Review of Financial Analysis.

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.

Explore authors with similar magnitude of impact