A.A. Lonie

766 citations
21 papers · 558 indexed · h-index 11

A.A. Lonie

20 papers receiving 464 citations

Peers

A.A. Lonie
Comparison fields: 5 of 41
  • Accounting 450
  • Finance 196
  • Strategy and Management 232
  • Economics and Econometrics 118
  • Management Information Systems 28
Replace Charlie Charoenwong with:
Charlie Charoenwong Singapore
Kyonghee Kim United States
Donald H. Chew Germany
André Betzer Germany
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G. Meeks United Kingdom
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Harjeet S. Bhabra Canada
A.A. Lonie relative to Charlie Charoenwong Singapore Charlie Charoenwong's profile →
Citations per field
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Charlie Charoenwong · 1×
Citations per year

Countries citing papers authored by A.A. Lonie

Since Specialization
Citations

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

Fields of papers citing papers by A.A. Lonie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside A.A. Lonie, 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 A.A. Lonie Line = papers co-authored together A.A. Lonie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20030
2 200246
3 200130
4 200017
5 199913
6 19999
7 199961
8 19998
9 199861
10 19973
11 19975
12
The Influence of Company Financial Performance on the Interpretation of Dividend and Earnings Signals: A Study of Accounting- and Market-Based Data
19962
13 199684
14 19964
15 199611
16 1996156
17 19965
18 199312
19 199125
20 19912

About A.A. Lonie

A.A. Lonie is a scholar working on Accounting, Finance, General Decision Sciences, Strategy and Management and Economics and Econometrics, having authored 21 papers that have together received 558 indexed citations. Recurring topics across this work include Corporate Finance and Governance (14 papers), Financial Markets and Investment Strategies (9 papers), Financial Reporting and Valuation Research (8 papers), Auditing, Earnings Management, Governance (7 papers), Market Dynamics and Volatility (2 papers), Financial Risk and Volatility Modeling (2 papers), Capital Investment and Risk Analysis (2 papers) and Decision-Making and Behavioral Economics (2 papers). The work is most often cited by research in Accounting (450 citations), Finance (196 citations), Strategy and Management (232 citations), Economics and Econometrics (118 citations) and Management Information Systems (28 citations). A.A. Lonie has collaborated with scholars based in United Kingdom, Sri Lanka and Jordan. Frequent co-authors include David Power, Jay Dahya, C. D. Sinclair, Bruce Burton, Christine Helliar, Donald Sinclair, Suzanne Fifield and Martin Walker. Their work appears in journals such as The British Accounting Review, European Journal of Finance, Journal of Business Finance & Accounting, Accounting and Business Research and Journal of Economic Studies.

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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