Brad Tuttle

2.0k total citations · 1 hit paper
37 papers, 1.4k citations indexed

About

Brad Tuttle is a scholar working on Accounting, Management Information Systems and Safety Research. According to data from OpenAlex, Brad Tuttle has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Accounting, 13 papers in Management Information Systems and 12 papers in Safety Research. Recurrent topics in Brad Tuttle's work include Auditing, Earnings Management, Governance (17 papers), Experimental Behavioral Economics Studies (12 papers) and Decision-Making and Behavioral Economics (8 papers). Brad Tuttle is often cited by papers focused on Auditing, Earnings Management, Governance (17 papers), Experimental Behavioral Economics Studies (12 papers) and Decision-Making and Behavioral Economics (8 papers). Brad Tuttle collaborates with scholars based in United States, Ghana and Latvia. Brad Tuttle's co-authors include Miklos A. Vasarhelyi, Alexander Kogan, Jesse Dillard, Robin Pennington, Frances Burton, Scott D. Vandervelde, Maribeth Coller, Andrea Seaton Kelton, Joshua M. Davis and Adrian M. Harrell and has published in prestigious journals such as Accounting Organizations and Society, Information & Management and Journal of Management Information Systems.

In The Last Decade

Brad Tuttle

37 papers receiving 1.3k citations

Hit Papers

Big Data in Accounting: An Overview 2015 2026 2018 2022 2015 100 200 300

Peers

Brad Tuttle
Comparison fields: 5 of 83
  • Accounting 656
  • Management Information Systems 619
  • Strategy and Management 252
  • Information Systems 190
  • Information Systems and Management 187
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Citations per field, relative to Brad Tuttle
Brad Tuttle · 1×
Citations per year, relative to Brad Tuttle
Brad Tuttle · 1×

Countries citing papers authored by Brad Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Brad Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad Tuttle

This figure shows the co-authorship network connecting the top 25 collaborators of Brad Tuttle. A scholar is included among the top collaborators of Brad Tuttle 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 Brad Tuttle. Brad Tuttle 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
# Work Indexed citations
1 2
2
Big Data in Accounting: An Overview breakdown →
368
3 8
4 19
5 43
6
Transferring Risk Preferences from Taxes to Investments
1
7 125
8 26
9 84
10 2
11 9
12 10
13 40
14
The Effect of Misstatements of Varying Magnitude on the Decisions of Financial Statement Users: An Experimental Investigation of Materiality Thresholds
3
15 5
16 54
17
Information Presentation and Judgment Strategy from a Cognitive Fit Perspective
36
18 11
19 42
20 4

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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