Orie E. Barron

3.2k total citations
36 papers, 2.4k citations indexed

About

Orie E. Barron is a scholar working on Accounting, Finance and Strategy and Management. According to data from OpenAlex, Orie E. Barron has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Accounting, 26 papers in Finance and 13 papers in Strategy and Management. Recurrent topics in Orie E. Barron's work include Auditing, Earnings Management, Governance (34 papers), Financial Markets and Investment Strategies (26 papers) and Financial Reporting and Valuation Research (12 papers). Orie E. Barron is often cited by papers focused on Auditing, Earnings Management, Governance (34 papers), Financial Markets and Investment Strategies (26 papers) and Financial Reporting and Valuation Research (12 papers). Orie E. Barron collaborates with scholars based in United States, Canada and Singapore. Orie E. Barron's co-authors include Linda Smith Bamber, Douglas E. Stevens, Donal Byard, Oliver Kim, Charles Owen Kile, Thomas Stöber, Steve C. Lim, Pamela S. Stuerke, Edward J. Riedl and Terrence B. O'Keefe and has published in prestigious journals such as Journal of Accounting Research, Journal of Banking & Finance and The Accounting Review.

In The Last Decade

Orie E. Barron

35 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Orie E. Barron United States 19 2.1k 1.6k 768 293 140 36 2.4k
Stephen P. Baginski United States 20 2.1k 1.0× 1.2k 0.8× 858 1.1× 246 0.8× 102 0.7× 41 2.3k
Senyo Y. Tse United States 18 2.3k 1.1× 1.7k 1.1× 794 1.0× 304 1.0× 201 1.4× 41 2.6k
Donna R. Philbrick United States 11 2.3k 1.1× 1.4k 0.9× 850 1.1× 410 1.4× 165 1.2× 13 2.6k
Ravi Bhushan United States 9 2.3k 1.1× 1.8k 1.1× 680 0.9× 284 1.0× 117 0.8× 13 2.5k
Stanimir Markov United States 20 1.6k 0.8× 1.3k 0.8× 418 0.5× 231 0.8× 194 1.4× 54 2.0k
Joseph Gerakos United States 20 1.6k 0.8× 1.1k 0.7× 596 0.8× 445 1.5× 153 1.1× 59 2.0k
Hemang Desai United States 18 2.7k 1.3× 1.9k 1.2× 893 1.2× 579 2.0× 137 1.0× 37 3.1k
Tzachi Zach United States 20 1.5k 0.7× 884 0.6× 617 0.8× 353 1.2× 103 0.7× 42 1.8k
Mei Feng United States 17 2.1k 1.0× 893 0.6× 747 1.0× 237 0.8× 81 0.6× 29 2.3k
Guojin Gong United States 20 1.8k 0.9× 932 0.6× 746 1.0× 263 0.9× 67 0.5× 39 2.0k

Countries citing papers authored by Orie E. Barron

Since Specialization
Citations

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

Fields of papers citing papers by Orie E. Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Orie E. Barron. 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 Orie E. Barron. The network helps show where Orie E. Barron may publish in the future.

Co-authorship network of co-authors of Orie E. Barron

This figure shows the co-authorship network connecting the top 25 collaborators of Orie E. Barron. A scholar is included among the top collaborators of Orie E. Barron 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 Orie E. Barron. Orie E. Barron 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
1.
Barron, Orie E., Richard A. Schneible, & Douglas E. Stevens. (2021). The Increasing Usefulness of Annual Earnings Announcements: An Examination of Changes in Disagreement Using Analyst Forecasts. SSRN Electronic Journal. 1 indexed citations
2.
Barron, Orie E., Richard A. Schneible, & Douglas E. Stevens. (2017). The Changing Behavior of Trading Volume Reactions to Earnings Announcements: Evidence of the Increasing Use of Accounting Earnings News by Investors. Contemporary Accounting Research. 35(4). 1651–1674. 21 indexed citations
3.
Barron, Orie E., Donal Byard, & Lihong Liang. (2013). Analyst Pessimism and Forecast Timing. Journal of Business Finance & Accounting. 40(5-6). 719–739. 16 indexed citations
4.
Bamber, Linda Smith, Orie E. Barron, & Douglas E. Stevens. (2010). Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research. SSRN Electronic Journal. 70 indexed citations
5.
Barron, Orie E., Donal Byard, & Yong Yu. (2008). Earnings Announcement Disclosures that Help Analysts Forecast Earnings. SSRN Electronic Journal. 1 indexed citations
6.
Barron, Orie E., Donal Byard, & Yong Yu. (2007). Earnings Surprises that Motivate Analysts to Reduce Average Forecast Error. SSRN Electronic Journal. 9 indexed citations
7.
Barron, Orie E., David G. Harris, & Mary Harris Stanford. (2005). Evidence That Investors Trade on Private Event-Period Information around Earnings Announcements. The Accounting Review. 80(2). 403–421. 83 indexed citations
8.
Barron, Orie E., David G. Harris, & Mary Harris Stanford. (2004). Evidence that Investors Trade on Private Event-Period Information Around Earnings Announcements. SSRN Electronic Journal. 8 indexed citations
9.
Barron, Orie E., et al.. (2003). Leveling the Informational Playing Field. SSRN Electronic Journal.
10.
Barron, Orie E., Donal Byard, & Oliver Kim. (2002). Changes in Analysts' Information around Earnings Announcements. SSRN Electronic Journal. 21 indexed citations
11.
Barron, Orie E., Donal Byard, & Oliver Kim. (2002). Changes in Analysts' Information around Earnings Announcements. The Accounting Review. 77(4). 821–846. 196 indexed citations
12.
Barron, Orie E., Donal Byard, Charles Owen Kile, & Edward J. Riedl. (2001). High-Technology Intangibles and Analysts' Forecasts. SSRN Electronic Journal. 25 indexed citations
13.
Barron, Orie E., Jamie Pratt, & James D. Stice. (2001). Misstatement Direction, Litigation Risk, and Planned Audit Investment. Journal of Accounting Research. 39(3). 449–462. 75 indexed citations
14.
Bamber, Linda Smith, Orie E. Barron, & Thomas Stöber. (1999). Differential Interpretations and Trading Volume. Journal of Financial and Quantitative Analysis. 34(3). 369–369. 168 indexed citations
15.
Barron, Orie E., Oliver Kim, Steve C. Lim, & Douglas E. Stevens. (1998). Using analysts' forecasts to measure properties of analysts' information environment.. The Accounting Review. 73(4). 421–433. 377 indexed citations
16.
Barron, Orie E. & Pamela S. Stuerke. (1998). Dispersion in Analysts' Earnings Forecasts as a Measure of Uncertainty. Journal of Accounting Auditing & Finance. 13(3). 245–270. 183 indexed citations
17.
Bamber, Linda Smith & Orie E. Barron. (1997). Trading volume and different aspects of disagreement. 72(4). 575–597. 5 indexed citations
18.
Bamber, Linda Smith, Orie E. Barron, & Thomas Stöber. (1997). Trading Volume and Different Aspects of Disagreement Coincident with Earnings Announcements.. The Accounting Review. 72(4). 575–597. 175 indexed citations
19.
Barron, Orie E. & Jonathan M. Karpoff. (1997). Information Precision, Transaction Costs, and Trading Volume. SSRN Electronic Journal. 13 indexed citations
20.
Barron, Orie E.. (1993). Costly trading : the relation between disagreement (or information asymmetries) and trading in a world with trading costs. University Microfilms International eBooks. 2 indexed citations

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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