Kevin Daly

2.7k citations
102 papers · 1.8k · h-index 21

Impact in

Papers in

    • Banking stability, regulation, efficiency 22
    • Global Financial Crisis and Policies 16
    • Financial Risk and Volatility Modeling 12
    • Market Dynamics and Volatility 16

Kevin Daly

97 papers receiving 1.7k citations

Peers

Kevin Daly
Comparison fields: 5 of 128
  • Finance 651
  • General Economics, Econometrics and Finance 533
  • Economics and Econometrics 896
  • Accounting 353
  • General Energy 20
Replace Alessandro Rebucci with:
Alessandro Rebucci United States
Richard J. Sweeney United States
K.P. Prabheesh India
Hakan Yilmazkuday United States
Tapas Mishra United Kingdom
Seppo Pynnönen Finland
Athanasios Vamvakidis United States
Jiandong Ju United States
Bihong Huang China
Francisco González Spain
Kevin Daly relative to Alessandro Rebucci United States Alessandro Rebucci's profile →
Citations per field
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Alessandro Rebucci · 1×
Citations per year

Countries citing papers authored by Kevin Daly

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011171
2 2010127
3 2010103
4 200698
5 198283
6 201871
7 200966
8 199861
9 200357
10 201956
11 201955
12 201655
13 200751
14 200751
15 200849
16 200442
17 200934
18 200731
19 201228
20 199825

About Kevin Daly

Kevin Daly is a scholar working on Finance, Economics and Econometrics, Accounting, General Economics, Econometrics and Finance and Strategy and Management, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Banking stability, regulation, efficiency (22 papers), Global Financial Crisis and Policies (16 papers), Market Dynamics and Volatility (16 papers), Financial Risk and Volatility Modeling (12 papers), Global trade and economics (11 papers), Corporate Finance and Governance (10 papers), Monetary Policy and Economic Impact (10 papers) and International Business and FDI (8 papers). The work is most often cited by research in Finance (651 citations), General Economics, Econometrics and Finance (533 citations), Economics and Econometrics (896 citations), Accounting (353 citations) and General Energy (20 citations). Kevin Daly has collaborated with scholars based in Australia, United Kingdom and Vietnam. Frequent co-authors include Xiaoxi Zhang, Anil V. Mishra, Xuan Vinh Vo, Asghar Ali, Colm Kearney, Charles McCollum, Wasim Ahmad, Kelly H. Liu, Tonmoy Choudhury and Nitin Purandare. Their work appears in journals such as Emerging Markets Review, International Review of Financial Analysis, Cerebrovascular Diseases, Research in International Business and Finance and Modern Applied 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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