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Eghbal Rahimikia

Personal Details

First Name:Eghbal
Middle Name:
Last Name:Rahimikia
Suffix:
RePEc Short-ID:pra905
https://www.rahimikia.com/
4.069, Alliance Manchester Business School, Booth St W, Manchester M15 6PB United Kingdom

Affiliation

Alliance Manchester Business School
University of Manchester

Manchester, United Kingdom
http://www.mbs.ac.uk/
RePEc:edi:bsmanuk (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Rahimikia, Eghbal & Mohammadi, Shapour & Rahmani, Teymur & Ghazanfari, Mehdi, 2017. "Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 1-17.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Rahimikia, Eghbal & Mohammadi, Shapour & Rahmani, Teymur & Ghazanfari, Mehdi, 2017. "Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 1-17.

    Cited by:

    1. Jianfei Shen & Lincong Han, 2020. "RETRACTED ARTICLE: Design process optimization and profit calculation module development simulation analysis of financial accounting information system based on particle swarm optimization (PSO)," Information Systems and e-Business Management, Springer, vol. 18(4), pages 809-822, December.
    2. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    3. Li, Jing & Li, Nan & Xia, Tongshui & Guo, Jinjin, 2023. "Textual analysis and detection of financial fraud: Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 126(C).
    4. Codruţa Mare & Daniela Manaţe & Gabriela-Mihaela Mureşan & Simona Laura Dragoş & Cristian Mihai Dragoş & Alexandra-Anca Purcel, 2022. "Machine Learning Models for Predicting Romanian Farmers’ Purchase of Crop Insurance," Mathematics, MDPI, vol. 10(19), pages 1-13, October.
    5. Ioana – Florina Coita & Laura – Camelia Filip & Eliza-Angelika Kicska, 2021. "Tax Evasion And Financial Fraud In The Current Digital Context," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 187-194, July.

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