Donal Byard

1.9k citations
33 papers · 1.4k indexed · h-index 13
Topics
Auditing, Earnings Management, Governance (31 papers)Financial Markets and Investment Strategies (22 papers)Financial Reporting and Valuation Research (12 papers)

In The Last Decade

Donal Byard

29 papers receiving 1.3k citations

Peers

Donal Byard
Comparison fields: 5 of 41
  • Accounting 1.3k
  • Finance 664
  • Strategy and Management 630
  • Economics and Econometrics 127
  • Management Information Systems 96
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Citations per field
00.5×2.6×
Kenneth W. Shaw · 1×
Citations per year

Countries citing papers authored by Donal Byard

Since Specialization
Citations

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

Fields of papers citing papers by Donal Byard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donal Byard

This figure shows the co-authorship network connecting the top 25 collaborators of Donal Byard. A scholar is included among the top collaborators of Donal Byard 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 Donal Byard. Donal Byard 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
#WorkIndexed citations
1 0
2 0
3 3
4 16
5 3
6 10
7 16
8 1
9
Alternative Evidence on Financial Analysts' Use of Financial Statement Information
0
10
U.S. Oil Companies' Earnings Management in Response to Hurricanes Katrina and Rita
2
11
Earnings Surprises that Motivate Analysts to Reduce Average Forecast Error
9
12 49
13 10
14
The informational role of financial analysts: Interpreting public disclosures
1
15 6
16 0
17
Changes in Analysts' Information around Earnings Announcements
21
18 196
19 14
20
High-Technology Intangibles and Analysts' Forecasts
25

About Donal Byard

Donal Byard is a scholar working on Accounting, Finance and Strategy and Management, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (31 papers), Financial Markets and Investment Strategies (22 papers) and Financial Reporting and Valuation Research (12 papers). The work is most often cited by research in Accounting (1.3k citations), Finance (664 citations) and Strategy and Management (630 citations). Donal Byard has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Orie E. Barron, Yong Yu, Ying Li Compton, Li Y, Charles Owen Kile, Edward J. Riedl, Joseph Weintrop, Oliver Kim, Kenneth W. Shaw and Mahmud Hossain. Their work appears in journals such as Journal of Accounting Research, The Accounting Review and Contemporary Accounting 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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