Aaron Saiewitz
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Accounting top 10%
- Auditing, Earnings Management, Governance
- Accounting Education and Careers
Papers in
-
- Experimental Behavioral Economics Studies 2
- Co-authors
- Thomas Kida (1 shared paper)Elaine Wang (1 shared paper)Robyn L. Raschke (2 shared papers)Pushkin P.E. Kachroo (2 shared papers)M. David Piercey (1 shared paper)Richard C. Hatfield (1 shared paper)Shaurya Agarwal (1 shared paper)
- Journals
- IEEE Intelligent Systems (1 paper)Contemporary Accounting Research (1 paper)Issues in Accounting Education (1 paper)Accounting Organizations and Society (1 paper)Auditing A Journal of Practice & Theory (1 paper)
- Partner nations
- United States
In The Last Decade
Aaron Saiewitz
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 45
- Health Informatics 28
- Accounting 97
- General Decision Sciences 9
- Management Information Systems 46
- Organizational Behavior and Human Resource Management 39
Countries citing papers authored by Aaron Saiewitz
This map shows the geographic impact of Aaron Saiewitz'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 Aaron Saiewitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Saiewitz more than expected).
Fields of papers citing papers by Aaron Saiewitz
This network shows the impact of papers produced by Aaron Saiewitz. 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 Aaron Saiewitz. The network helps show where Aaron Saiewitz may publish in the future.
Co-authors
The 7 scholars most cited alongside Aaron Saiewitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 86 | |
| 2 | 2017 | 76 | |
| 3 | 2018 | 31 | |
| 4 | 2018 | 21 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 5 |
About Aaron Saiewitz
Aaron Saiewitz is a scholar working on Safety Research, Management Information Systems, Organizational Behavior and Human Resource Management, Accounting and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 251 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (2 papers), Robotic Process Automation Applications (2 papers), Experimental Behavioral Economics Studies (2 papers), Psychology of Social Influence (1 paper), Housing Market and Economics (1 paper), Stock Market Forecasting Methods (1 paper), Data Visualization and Analytics (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Health Informatics (28 citations), Accounting (97 citations), General Decision Sciences (9 citations), Management Information Systems (46 citations) and Organizational Behavior and Human Resource Management (39 citations). Aaron Saiewitz has collaborated with scholars based in United States. Frequent co-authors include Thomas Kida, Elaine Wang, Robyn L. Raschke, Pushkin P.E. Kachroo, M. David Piercey, Richard C. Hatfield and Shaurya Agarwal. Their work appears in journals such as IEEE Intelligent Systems, Contemporary Accounting Research, Issues in Accounting Education, Accounting Organizations and Society and Auditing A Journal of Practice & 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.