Frank McGroarty

1.8k citations
69 papers · 1.2k · h-index 17

Impact in

  • Finance top 1%
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling
    • Market Dynamics and Volatility
    • Complex Systems and Time Series Analysis
    • Energy, Environment, Economic Growth

Papers in

    • Financial Markets and Investment Strategies 38
    • Financial Risk and Volatility Modeling 10
    • Market Dynamics and Volatility 21
    • Complex Systems and Time Series Analysis 20
    • Sports Analytics and Performance 7

Frank McGroarty

62 papers receiving 1.1k citations

Peers

Frank McGroarty
Comparison fields: 5 of 95
  • Finance 645
  • Economics and Econometrics 770
  • Management Science and Operations Research 301
  • General Economics, Econometrics and Finance 138
  • Accounting 107
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Citations per year

Countries citing papers authored by Frank McGroarty

Since Specialization
Citations

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

Fields of papers citing papers by Frank McGroarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016123
2 2014113
3 2013110
4 201997
5 201395
6 201984
7 202046
8 201744
9 201841
10 202039
11 201835
12 201733
13 200830
14 201722
15 201720
16 201819
17 201416
18 200615
19 201413
20 201211

About Frank McGroarty

Frank McGroarty is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance and Accounting, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (38 papers), Market Dynamics and Volatility (21 papers), Complex Systems and Time Series Analysis (20 papers), Stock Market Forecasting Methods (18 papers), Financial Risk and Volatility Modeling (10 papers), Monetary Policy and Economic Impact (10 papers), Sports Analytics and Performance (7 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Finance (645 citations), Economics and Econometrics (770 citations), Management Science and Operations Research (301 citations), General Economics, Econometrics and Finance (138 citations) and Accounting (107 citations). Frank McGroarty has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include Andrew Urquhart, Enrico Gerding, John W. Goodell, Richard McGee, Simon Wolfe, Owain ap Gwilym, Tiejun Ma, Stephen Thomas, Gbenga Ibikunle and Mahesan Niranjan. Their work appears in journals such as International Review of Financial Analysis, Journal of International Financial Markets Institutions and Money, Physica A Statistical Mechanics and its Applications, Finance research letters 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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