Jay S. Rich

778 citations
15 papers · 607 indexed · h-index 8

Jay S. Rich

14 papers receiving 554 citations

Peers

Jay S. Rich
Comparison fields: 5 of 45
  • General Decision Sciences 128
  • Accounting 484
  • Management Information Systems 144
  • Safety Research 116
  • Information Systems and Management 50
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Countries citing papers authored by Jay S. Rich

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Rich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay S. Rich. 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 Jay S. Rich. The network helps show where Jay S. Rich may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Jay S. Rich, 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 Jay S. Rich Line = papers co-authored together Jay S. Rich links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20202
2 201943
3 201214
4
Cornerstones of financial and managerial accounting
20102
5
The Effects of a Supervisor’s Active Intervention in Subordinates’ Judgments, Directional Goals, and Perceived Technical Knowledge Advantage on Audit Team Judgments
20104
6 20105
7 201078
8
Cornerstones of Financial Accounting
20091
9 2006147
10 200448
11 200431
12
Reviewers' Responses to Expectations About the Client and the Preparer
20033
13 200023
14 1997205
15
Elaboration in Audit Financial-Statement Review: An Experimental Investigation From a Persuasion Perspective
19971

About Jay S. Rich

Jay S. Rich is a scholar working on General Decision Sciences, Accounting, Public Administration, Management Information Systems and Management Science and Operations Research, having authored 15 papers that have together received 607 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (8 papers), Decision-Making and Behavioral Economics (4 papers), Complex Systems and Decision Making (2 papers), Communication in Education and Healthcare (2 papers), Accounting and Organizational Management (2 papers), Economic and Environmental Valuation (1 paper), Technology Adoption and User Behaviour (1 paper) and Financial Reporting and Valuation Research (1 paper). The work is most often cited by research in General Decision Sciences (128 citations), Accounting (484 citations), Management Information Systems (144 citations), Safety Research (116 citations) and Information Systems and Management (50 citations). Jay S. Rich has collaborated with scholars based in United States and Australia. Frequent co-authors include Ken T. Trotman, Ira Solomon, T. Jeffrey Wilks, Roger D. Martin, Mark E. Peecher, M. David Piercey, Richard M. Tubbs, Brian Ballou, Christine E. Earley and Kathryn Kadous. Their work appears in journals such as The Accounting Review, Auditing A Journal of Practice & Theory, Contemporary Accounting Research, Accounting Organizations and Society and Organizational Behavior and Human Decision Processes.

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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