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D-Index & Metrics

Computer Science

D-Index
34
Citations
6672
World Ranking
12000
National Ranking
4901

Overview

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:

  • Auditing, Earnings Management, Governance
  • Imbalanced Data Classification Techniques
  • Forecasting Techniques and Applications
  • Consumer Market Behavior and Pricing
  • Advanced Database Systems and Queries
  • Scientific Computing and Data Management
  • Big Data and Business Intelligence

Kogan's recent publications illustrate active involvement in auditing and data analytics, including:

  • "External Nonfinancial Measures in Substantive Analytical Procedures: Contributions of Weather Information" (2024), published in Journal of Information Systems
  • "Basics of SQL for Audit Data Retrieval and Analysis" (2021), published in Journal of Emerging Technologies in Accounting
  • "Teaching Predictive Audit Data Analytic Techniques: Time-Series Forecasting with Transactional and Exogenous Data" (2023), published in Journal of Emerging Technologies in Accounting
  • "The effects of COVID-19 pandemic and auditor-client geographic proximity on auditors' going concern opinions" (2024), published in International Journal of Disclosure and Governance
  • "Privacy-Preserving Information Sharing within an Audit Firm" (2020), published in Journal of Information Systems

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:

  • SSRN Electronic Journal
  • Journal of Information Systems
  • Journal of Emerging Technologies in Accounting
  • International Journal of Disclosure and Governance
  • Clinical Medicine

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.

Best Publications

  • Big Data in Accounting: An Overview

    Miklos A. Vasarhelyi;Alexander Kogan;Brad M. Tuttle

  • Impact of business analytics and enterprise systems on managerial accounting

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi;Zhaokai Yan

  • An implementation of logical analysis of data

    E. Boros;P.L. Hammer;T. Ibaraki;A. Kogan

  • Big Data and Analytics in the Modern Audit Engagement: Research Needs

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi

  • Continuous monitoring of business process controls: A pilot implementation of a continuous auditing system at Siemens

    Michael G. Alles;Gerard Brennan;Alexander Kogan;Miklos A. Vasarhelyi

  • Logical analysis of numerical data

    Endre Boros;Peter L. Hammer;Toshihide Ibaraki;Alexander Kogan

  • Principles of Analytic Monitoring for Continuous Assurance

    Miklos A. Vasarhelyi;Michael G. Alles;Alexander Kogan

  • Designing confidentiality-preserving Blockchain-based transaction processing systems

    Yunsen Wang;Yunsen Wang;Alexander Kogan

  • Putting Continuous Auditing Theory into Practice: Lessons from Two Pilot Implementations

    Michael G. Alles;Alexander Kogan;Miklos A. Vasarhelyi

  • Continuous Online Auditing: A Program of Research

    Alexander Kogan;Ephraim F. Sudit;Miklos A. Vasarhelyi

  • Financial Reporting and Auditing Agent with Net Knowledge (FRAANK) and eXtensible Business Reporting Language (XBRL)

    Matthew Bovee;Alexander Kogan;Kay M. Nelson;Rajendra P. Srivastava

  • Analytical procedures in external auditing: A comprehensive literature survey and framework for external audit analytics

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi

  • Assurance on XBRL instance document: A conceptual framework of assertions

    Rajendra P. Srivastava;Alexander Kogan

  • Pareto-optimal patterns in logical analysis of data

    Peter L. Hammer;Alexander Kogan;Bruno Simeone;Sándor Szedmák

  • Design and Evaluation of a Continuous Data Level Auditing System

    Alexander Kogan;Michael G. Alles;Miklos A. Vasarhelyi;Jia Wu

  • ASSURING HOMELAND SECURITY : CONTINUOUS MONITORING, CONTROL AND ASSURANCE OF EMERGENCY PREPAREDNESS

    Michael Alles;Alexander Kogan;Miklos Vasarhelyi;Roxanne Hiltz

  • Optimal compression of propositional Horn knowledge bases: complexity and approximation

    Peter L. Hammer;Alexander Kogan;Alexander Kogan

  • Maximum patterns in datasets

    T. O. Bonates;Peter L. Hammer;A. Kogan

  • A NON-RECURSIVE REGRESSION MODEL FOR COUNTRY RISK RATING

    S. Alexe;P L. Hammer;A. Kogan;M. A. Lejeune

  • Horn functions and their DNFs

    Peter L. Hammer;Alexander Kogan

  • Modeling country risk ratings using partial orders

    Peter L. Hammer;Alexander Kogan;Miguel A. Lejeune

Frequent Co-Authors

Miklos A. Vasarhelyi
Miklos A. Vasarhelyi Rutgers, The State University of New Jersey
Peter L. Hammer
Peter L. Hammer Rutgers, The State University of New Jersey
Endre Boros
Endre Boros Rutgers, The State University of New Jersey
Toshihide Ibaraki
Toshihide Ibaraki Kyoto College of Graduate Studies for Informatics
Yves Crama
Yves Crama University of Liège
Russell Greiner
Russell Greiner University of Alberta
Murray Turoff
Murray Turoff New Jersey Institute of Technology
Peter Spirtes
Peter Spirtes Carnegie Mellon University

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