The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alexander Kogan sits on this spectrum.
This scientist: 91 publications — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander Kogan sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Alexander Kogan is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily intersects the broad area of Business, Management and Accounting with a notable focus on Accounting and Artificial Intelligence as subfields. Additional fields of study include Management Science and Operations Research, Marketing, and Computer Networks and Communications.
Key topics in Alexander Kogan's research encompass:
Kogan's recent publications illustrate active involvement in auditing and data analytics, including:
Their frequent collaborators include Miklos A. Vasarhelyi, Nuriddin Tojiboyev, Deniz Appelbaum, Yunsen Wang, and Tiffany Chiu. Kogan has multiple coauthored papers with these researchers, indicating ongoing professional partnerships in their academic work.
Alexander Kogan's work appears in several specialized venues, with multiple publications in:
The research spans topics such as auditing methods, predictive audit analytics, privacy in information sharing within audit firms, and the impacts of external factors like COVID-19 on audit outcomes. Their expertise incorporates both traditional accounting subjects and the intersection of technology, with an emphasis on forecasting and data-driven audit techniques.
Miklos A. Vasarhelyi;Alexander Kogan;Brad M. Tuttle
Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi;Zhaokai Yan
E. Boros;P.L. Hammer;T. Ibaraki;A. Kogan
Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi
Michael G. Alles;Gerard Brennan;Alexander Kogan;Miklos A. Vasarhelyi
Endre Boros;Peter L. Hammer;Toshihide Ibaraki;Alexander Kogan
Miklos A. Vasarhelyi;Michael G. Alles;Alexander Kogan
Yunsen Wang;Yunsen Wang;Alexander Kogan
Michael G. Alles;Alexander Kogan;Miklos A. Vasarhelyi
Alexander Kogan;Ephraim F. Sudit;Miklos A. Vasarhelyi
Matthew Bovee;Alexander Kogan;Kay M. Nelson;Rajendra P. Srivastava
Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi
Rajendra P. Srivastava;Alexander Kogan
Peter L. Hammer;Alexander Kogan;Bruno Simeone;Sándor Szedmák
Alexander Kogan;Michael G. Alles;Miklos A. Vasarhelyi;Jia Wu
Michael Alles;Alexander Kogan;Miklos Vasarhelyi;Roxanne Hiltz
Peter L. Hammer;Alexander Kogan;Alexander Kogan
T. O. Bonates;Peter L. Hammer;A. Kogan
S. Alexe;P L. Hammer;A. Kogan;M. A. Lejeune
Peter L. Hammer;Alexander Kogan
Peter L. Hammer;Alexander Kogan;Miguel A. Lejeune
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Exploring Computer Science in the USA opens up diverse academic and career opportunities online. Prospective students can start with online associate degree programs, which offer a flexible pathway into the tech world and can often be completed in two years. These are a great introduction to fundamental computer science concepts and practical skills.
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