Debra Sanders
- Economics and Econometrics top 5%
- Accounting top 5%
- Safety Research top 10%
- Sociology and Political Science
- Gender Studies
- Co-authors
- Philip M.J. ReckersGovind S. IyerJane CôtéD. Jordan LoweKimberly HouserSung K. AhnJeanne H. YamamuraTill Weber
- Topics
- Corporate Taxation and Avoidance (7 papers)Taxation and Compliance Studies (7 papers)Auditing, Earnings Management, Governance (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Debra Sanders
15 papers receiving 292 citations
Peers
Comparison fields: 5 of 49
- Economics and Econometrics 222
- Accounting 182
- Safety Research 62
- Sociology and Political Science 50
- Gender Studies 40
Countries citing papers authored by Debra Sanders
This map shows the geographic impact of Debra Sanders'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 Debra Sanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Sanders more than expected).
Fields of papers citing papers by Debra Sanders
This network shows the impact of papers produced by Debra Sanders. 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 Debra Sanders. The network helps show where Debra Sanders may publish in the future.
Co-authorship network of co-authors of Debra Sanders
This figure shows the co-authorship network connecting the top 25 collaborators of Debra Sanders. A scholar is included among the top collaborators of Debra Sanders 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 Debra Sanders. Debra Sanders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | The Use of Big Data Analytics by the IRS: What Tax Practitioners Need to Know | 10 |
| 4 | The Use of Big Data Analytics by the IRS: Efficient Solution or the End of Privacy as We Know it? | 2 |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 46 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | Herding Behavior: Explanations and Implications | 39 |
| 14 | 23 | |
| 15 | 132 | |
| 16 | 9 | |
| 17 | An empirical investigation of tax practitioners' decisions under uncertainty : a prospect theory approach | 1 |
About Debra Sanders
Debra Sanders is a scholar working on Accounting, Economics and Econometrics and Marketing, having authored 17 papers that have together received 333 indexed citations. Recurring topics across this work include Corporate Taxation and Avoidance (7 papers), Taxation and Compliance Studies (7 papers) and Auditing, Earnings Management, Governance (4 papers). The work is most often cited by research in Accounting (182 citations), Economics and Econometrics (222 citations) and Safety Research (62 citations). Debra Sanders has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Philip M.J. Reckers, Govind S. Iyer, Jane Côté, D. Jordan Lowe, Kimberly Houser, Sung K. Ahn, Jeanne H. Yamamura, Till Weber, Linda H. Chen and P. Ackrill. Their work appears in journals such as National Tax Journal, International Journal of Auditing and Journal of Accounting Education.
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.