Jon S. Davis

897 citations
22 papers · 638 indexed · h-index 11

Impact in

Papers in

    • Corporate Taxation and Avoidance 9
    • Auditing, Earnings Management, Governance 7
    • Taxation and Compliance Studies 13
    • Fiscal Policy and Economic Growth 5
    • Complex Systems and Time Series Analysis 3
    • Economic Policies and Impacts 1

Jon S. Davis

22 papers receiving 561 citations

Peers

Jon S. Davis
Comparison fields: 5 of 82
  • General Decision Sciences 101
  • Accounting 375
  • Safety Research 117
  • Economics and Econometrics 340
  • Information Systems and Management 53
Replace Brian C. Spilker with:
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Jon S. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Jon S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Jon S. Davis, 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 Jon S. Davis Line = papers co-authored together Jon S. Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202034
2 20163
3
Fraud Dynamics and Controls in Organizations
20122
4 201266
5 20117
6 200311
7 2003128
8 19996
9
Modeling Nonspatial Socioeconomic Interactions: An Agent-Based Approach
19993
10
Tax Advice and Reporting Under Uncertainty: Theory and Experimental Evidence
19981
11 199638
12
Behavioral Tax Research: Prospects and Judgment Calls
19955
13 199310
14 19925
15 199257
16 1991108
17
Experience, expertise and expert-performance research in public accounting
1989106
18
Uncertainty and taxpayer aggressiveness : experimental evidence
19892
19
Auditor bidding and independence : a laboratory markets investigation
19872
20
The role of experimental economics in tax policy research
198710

About Jon S. Davis

Jon S. Davis is a scholar working on Accounting, Economics and Econometrics, General Decision Sciences, Safety Research and Public Administration, having authored 22 papers that have together received 638 indexed citations. Recurring topics across this work include Taxation and Compliance Studies (13 papers), Corporate Taxation and Avoidance (9 papers), Auditing, Earnings Management, Governance (7 papers), Fiscal Policy and Economic Growth (5 papers), Experimental Behavioral Economics Studies (4 papers), Opinion Dynamics and Social Influence (3 papers), Complex Systems and Time Series Analysis (3 papers) and Economic Policies and Impacts (1 paper). The work is most often cited by research in General Decision Sciences (101 citations), Accounting (375 citations), Safety Research (117 citations), Economics and Econometrics (340 citations) and Information Systems and Management (53 citations). Jon S. Davis has collaborated with scholars based in United States, South Korea and Austria. Frequent co-authors include Paul J. Beck, Ira Solomon, Gary Hecht, Jon D. Perkins, Woon‐Oh Jung, Sarah Bonner, Charles W. Swenson, Matteo Vittuari, Sebastian Gollnow and Paul Metcalfe. Their work appears in journals such as The Accounting Review, Contemporary Accounting Research, Accounting Organizations and Society, Journal of the American Taxation Association and Journal of Public Economic Theory.

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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