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D-Index & Metrics

Social Sciences and Humanities

D-Index
54
Citations
13711
World Ranking
2128
National Ranking
1025

Miklos A. Vasarhelyi publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Miklos A. Vasarhelyi sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 217 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Miklos A. Vasarhelyi D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Miklos A. Vasarhelyi sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 54 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Miklos A. Vasarhelyi is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Business, Management and Accounting as well as Computer Science, with a significant focus on subfields such as Accounting, Management Information Systems, Artificial Intelligence, Information Systems, and Management Science and Operations Research.

The research topics addressed by Vasarhelyi include areas such as Auditing, Earnings Management, Governance, Imbalanced Data Classification Techniques, Big Data and Business Intelligence, Business Process Modeling and Analysis, Financial Distress and Bankruptcy Prediction, Stock Market Forecasting Methods, and Software Engineering Research.

Vasarhelyi has contributed to numerous academic papers published in various venues. Some notable recent publications include:

  • The Ethical Implications of Using Artificial Intelligence in Auditing, 2020, Journal of Business Ethics
  • Machine learning improves accounting estimates: evidence from insurance payments, 2020, Review of Accounting Studies
  • Explainable Artificial Intelligence (XAI) in auditing, 2022, International Journal of Accounting Information Systems
  • Learning from Machine Learning in Accounting and Assurance, 2020, Journal of Emerging Technologies in Accounting
  • Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System, 2021, Journal of Management Information Systems

Frequent collaboration is a notable aspect of Vasarhelyi's work. Their frequent coauthors include Huijue Kelly Duan, Chanyuan Zhang, Jun Dai, Huaxia Li, and Hanxin Hu.

Vasarhelyi's publications are often found in specialized venues including:

  • SSRN Electronic Journal
  • Journal of Emerging Technologies in Accounting
  • International Journal of Accounting Information Systems
  • Journal of Information Systems
  • The International Journal of Digital Accounting Research

Best Publications

  • Toward Blockchain-Based Accounting and Assurance

    Jun Dai;Jun Dai;Miklos A. Vasarhelyi

  • 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

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

    Deniz Appelbaum;Alexander Kogan;Miklos A. Vasarhelyi

  • The Ethical Implications of Using Artificial Intelligence in Auditing

    Ivy Munoko;Helen L. Brown-Liburd;Miklos Vasarhelyi

  • The Continuous Audit of Online Systems1

    Miklos A. Vasarhelyi;Fern B. Halper

  • Robotic process automation for auditing

    Kevin C. Moffitt;Andrea M. Rozario;Miklos A. Vasarhelyi

  • Research Ideas for Artificial Intelligence in Auditing: The Formalization of Audit and Workforce Supplementation

    Hussein Issa;Ting Sun;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

  • Principles of Analytic Monitoring for Continuous Assurance

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

  • Applying robotic process automation (RPA) in auditing: A framework

    Feiqi Huang;Miklos A. Vasarhelyi

  • 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

  • Innovation and practice of continuous auditing

    David Y. Chan;Miklos A. Vasarhelyi

  • Feasibility and Economics of Continuous Assurance

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

  • A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing

    Mieke Jans;Michael G. Alles;Miklos A. Vasarhelyi

  • Financial Reporting in XBRL on the SEC's EDGAR System: A Critique and Evaluation

    Roger S. Debreceny;Akhilesh Chandra;John J. Cheh;Denise Guithues-Amrhein

  • AIS in an Age of Big Data

    Kevin C. Moffitt;Miklos A. Vasarhelyi

  • The case for process mining in auditing: Sources of value added and areas of application

    Mieke Jans;Michael G. Alles;Miklos A. Vasarhelyi

  • Imagineering Audit 4.0

    Jun Dai;Miklos A. Vasarhelyi

Frequent Co-Authors

Michael Alles
Michael Alles Rutgers, The State University of New Jersey
Alexander Kogan
Alexander Kogan Rutgers, The State University of New Jersey
Theodore J. Mock
Theodore J. Mock University of California, Riverside
Lawrence D. Brown
Lawrence D. Brown Temple University
Baruch Lev
Baruch Lev New York University
Michael Ettredge
Michael Ettredge University of Kansas
Rani Hoitash
Rani Hoitash Bentley University
Murray Turoff
Murray Turoff New Jersey Institute of Technology

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