Bita Mashayekhi

800 citations
33 papers · 618 indexed · h-index 9
Topics
Auditing, Earnings Management, Governance (12 papers)Corporate Finance and Governance (5 papers)Corporate Social Responsibility Reporting (4 papers)
Journals
SHILAP Revista de lepidopterologíaSustainabilitySustainable Development

In The Last Decade

Bita Mashayekhi

27 papers receiving 527 citations

Peers

Bita Mashayekhi
Comparison fields: 5 of 38
  • Accounting 533
  • Strategy and Management 256
  • Finance 85
  • Economics and Econometrics 64
  • Gender Studies 53
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Jonas Oliveira Portugal
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Richard Bozec Canada
Doaa Aly United Kingdom
Hedy Jiaying Huang New Zealand
Michail Nerantzidis Greece
Abhijit Barua United States
Ben Kwame Agyei-Mensah South Korea
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Citations per field
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Brian Tayan · 1×
Citations per year

Countries citing papers authored by Bita Mashayekhi

Since Specialization
Citations

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

Fields of papers citing papers by Bita Mashayekhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bita Mashayekhi

This figure shows the co-authorship network connecting the top 25 collaborators of Bita Mashayekhi. A scholar is included among the top collaborators of Bita Mashayekhi 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 Bita Mashayekhi. Bita Mashayekhi 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 5
3 1
4 17
5 6
6 7
7 4
8 23
9 20
10 1
11 21
12 0
13
CULTURAL VALUES AND CORPORATE GOVERNANCE
0
14
DETECTING EARNINGS MANAGEMENT USING NEURAL NETWORKS
4
15
The Relation between Corporate Governance Mechanisms and Earnings Quality
1
16
Capital Investments, Accruals, and Stock Returns
1
17
The Effects of Corporate Governance on Earnings Quality: Evidence from Iran
21
18
Accounting Conservatism, Earnings Persistence and Earnings Distribution
1
19 93
20
INFORMATION CONTENT OF CASH FLOWS AND ACCRUALS IN IRANIAN CAPITAL MARKETS
1

About Bita Mashayekhi

Bita Mashayekhi is a scholar working on Accounting, Strategy and Management and Management Information Systems, having authored 33 papers that have together received 618 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (12 papers), Corporate Finance and Governance (5 papers) and Corporate Social Responsibility Reporting (4 papers). The work is most often cited by research in Accounting (533 citations), Strategy and Management (256 citations) and Finance (85 citations). Bita Mashayekhi has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include Mohammad S. Bazaz, Graham Gal, Zabihollah Rezaee, Saeid Homayoun, Kaveh Asiaei, Shahrokh Akhlaghi and Reza Hesarzadeh. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Sustainable Development.

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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