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Intelligent Systems in Accounting, Finance and Management: ISI journal and proceeding citations, and research issues from most‐cited papers

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  • Daniel E. O'Leary

Abstract

This paper analyses the citations from Intelligent Systems in Accounting, Finance and Management that have occurred in ISI's Web of Knowledge in February 2010. I found roughly 1000 citations to the journal under 10 different journal name abbreviations, with roughly 25% of the citations occurring during 2008–2009, associated with 27 of the more frequently cited papers. Using that citation data, the H‐index and the 40 (42 with ties) most‐cited papers are presented. I found that ISI's new proceedings data appear to have a different citation pattern than ISI's journal citation data, resulting in citations to more sources, but fewer citations per source. I also examine the research methodologies and applications of the most‐cited papers in an attempt to determine what areas have been cited most and where there are potential gaps in the research. Copyright © 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Daniel E. O'Leary, 2010. "Intelligent Systems in Accounting, Finance and Management: ISI journal and proceeding citations, and research issues from most‐cited papers," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 17(1), pages 41-58, January.
    • Handle: RePEc:wly:isacfm:v:17:y:2010:i:1:p:41-58
    DOI: 10.1002/isaf.312
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    2. R. Slowinski & C. Zopounidis, 1995. "Application of the Rough Set Approach to Evaluation of Bankruptcy Risk," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(1), pages 27-41, March.
    3. Kurt M. Fanning & Kenneth O. Cogger, 1994. "A Comparative Analysis of Artificial Neural Networks Using Financial Distress Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(4), pages 241-252, December.
    4. James R. Coakley & Carol E. Brown, 2000. "Artificial neural networks in accounting and finance: modeling issues," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 119-144, June.
    5. Changduk Jung & Ingoo Han & Bomil Suh, 1999. "Risk analysis for electronic commerce using case‐based reasoning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(1), pages 61-73, March.
    6. Hean‐Lee Poh & Jingtao Yao & Teo Jašic, 1998. "Neural networks for the analysis and forecasting of advertising and promotion impact," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(4), pages 253-268, December.
    7. J.E. Boritz & D.B. Kennedy & Augusto de Miranda e Albuquerque, 1995. "Predicting Corporate Failure Using a Neural Network Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(2), pages 95-111, June.
    8. Munindar P. Singh & Michael N. Huhns, 1999. "Multiagent systems for workflow," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(2), pages 105-117, June.
    9. Zoran Vojinovic & Vojislav Kecman & Rainer Seidel, 2001. "A data mining approach to financial time series modelling and forecasting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(4), pages 225-239, December.
    10. Y. Duan & J.S. Edwards & P.C. Robins, 1998. "Experiences with EXGAME: an expert system for playing a competitive business game," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(1), pages 1-19, March.
    11. Zhiang Lin & Kathleen Carley, 1993. "Proactive or Reactive: An Analysis of the Effect of Agent Style on Organizational Decision‐making Performance," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 2(4), pages 271-287, December.
    12. Sudhir Nanda & Parag Pendharkar, 2001. "Linear models for minimizing misclassification costs in bankruptcy prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 155-168, September.
    13. Jerzy Stefanowski & Szymon Wilk, 2001. "Evaluating business credit risk by means of approach‐integrating decision rules and case‐based learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(2), pages 97-114, June.
    14. Stanley D. Smith, 2004. "Is an Article in a Top Journal a Top Article?," Financial Management, Financial Management Association, vol. 33(4), Winter.
    15. John J. Maher & Tarun K. Sen, 1997. "Predicting Bond Ratings Using Neural Networks: A Comparison with Logistic Regression," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(1), pages 59-72, March.
    16. Hyung‐Min Michael Chung & Kar Yan Tam, 1993. "A Comparative Analysis of Inductive‐Learning Algorithms," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 2(1), pages 3-18, January.
    17. Harlan L. Etheridge & Ram S. Sriram, 1997. "A comparison of the relative costs of financial distress models: artificial neural networks, logit and multivariate discriminant analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(3), pages 235-248, September.
    18. Rajendra P. Srivastava & Saurav K. Dutta & Robert W. Johns, 1996. "An Expert System Approach to Audit Planning and Evaluation in the Belief‐Function Framework," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(3), pages 165-183, September.
    19. Philip Swicegood & Jeffrey A. Clark, 2001. "Off‐site monitoring systems for predicting bank underperformance: a comparison of neural networks, discriminant analysis, and professional human judgment," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 169-186, September.
    20. Kurt M. Fanning & Kenneth O. Cogger, 1998. "Neural network detection of management fraud using published financial data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(1), pages 21-41, March.
    21. Joachim Herbst & Dimitris Karagiannis, 2000. "Integrating machine learning and workflow management to support acquisition and adaptation of workflow models," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 67-92, June.
    22. Kazuhiro Kohara & Tsutomu Ishikawa & Yoshimi Fukuhara & Yukihiro Nakamura, 1997. "Stock Price Prediction Using Prior Knowledge and Neural Networks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(1), pages 11-22, March.
    23. Shu‐Heng Chen & Wo‐Chiang Lee & Chia‐Hsuan Yeh, 1999. "Hedging derivative securities with genetic programming," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(4), pages 237-251, December.
    24. Peter Duchessi & Robert O'Keefe & Daniel O'Leary, 1993. "A Research Perspective: Artificial Intelligence, Management and Organizations," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 2(3), pages 151-159, August.
    25. Bonnie W. Morris, 1994. "SCAN: A Case‐Based Reasoning Model for Generating Information System Control Recommendations," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(1), pages 47-63, January.
    26. Arthur M. Diamond Jr., 1986. "What is a Citation Worth?," Journal of Human Resources, University of Wisconsin Press, vol. 21(2), pages 200-215.
    27. Young S. Kwon & Ingoo Han & Kun Chang Lee, 1997. "Ordinal Pairwise Partitioning (OPP) Approach to Neural Networks Training in Bond rating," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(1), pages 23-40, March.
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