Galoitica: Journal of Mathematical Structures and Applications
Journal DOI
2834-5568ISSN (Online)
Volume 12 , Issue 1 , PP: 09-18, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Prem Kumar Singh 1 *
Doi: https://doi.org/10.54216/GJMSA.0120102
Recent time retraction analysis is considered as one of the major issues. The retraction is a regular process where some time it is true, some time happen due to conflict, some time due to indescribable parameters or last via self retraction by authors or Editor. It is happening due to pressure on academia and its quality measurement by quantitative publications and citation rather than qualitative. It forces researchers to add the co-authors for increment of paper and citation rather than focusing on researcher. Some time the retraction happens due to self correction, genuine mistake or conflict of interest with editor. These types of genuine or self retraction happended using Turiyam awareness of authors or editor is considered as positive retraction. It is also noted that negative results are also part of the research as equal to positive or noble research. It is difficult to characterize these types of retraction. In this paper author has introduced a mathematical model for precise analysis of retracted paper and its characterization in true (t), false(f), indeterminant (i) and liberal (l) region for intellectual measurement. Same time the extension of work for undefined or unknown paramerters of retraction or unretraction is also discussed using the complement of Turiyam operator with an example.
Anektavad , Knowledge representation , Retraction , Scopus , Uncertainty , Turiyam set
[1] Candal-Pedreira, C., Ross, J. S., Ruano-Ravina, A., Egilman, D. S., Fernández, E., & Pérez-Ríos, M. "Retractions from paper mills: cross-sectional study," BMJ, vol. 379, 2022.
[2] Lu, S. F., Jin, G. Z., Uzzi, B., & Jones, B. "The retraction penalty: Evidence from the Web of Science," Scientific Reports, vol. 3, no. 1, p. 3146, 2013.
[3] Elango, B., Kozak, M., & Rajendran, P. "Analysis of retractions in Indian science," Scientometrics, vol. 119, no. 2, pp. 1081-1094, 2019.
[4] Worrall, J. L., & Cohn, E. G. "Citation data and analysis: limitations and shortcomings," Journal of Contemporary Criminal Justice, vol. 39, no. 3, pp. 327-340, 2023.
[5] Kleinert, S. "COPE's retraction guidelines," The Lancet, vol. 374, no. 9705, pp. 1876-1877, 2009.
[6] Tian, D., Hu, X., Qian, Y., & Li, J. "Exploring the scientific impact of negative results," Journal of Informetrics, vol. 18, no. 1, p. 101481, 2024.
[7] Bik, E. M. "Publishing negative results is good for science," Access Microbiology, vol. 6, no. 4, p. 000792, 2024.
[8] Abraham, R. H. "Mysticism in the history of mathematics," Progress in Biophysics and Molecular Biology, vol. 131, pp. 261-272, 2017.
[9] Zeng, J., & Zhang, Y. "Deep learning for medical image analysis: A survey," Journal of Healthcare Engineering, vol. 2021, 2021.
[10] Xiao, Y., Chen, J., Wu, X. H., & Qiu, Q. M. "High retraction rate of Chinese articles: it is time to do something about academic misconduct," Postgraduate Medical Journal, vol. 98, no. 1163, pp. 653-654, 2022.
[11] Ameyaw-Brobbey, T. "COVID-19 and its repercussions on global public opinion of China’s development model," Journal of International Studies, vol. 14, no. 3, pp. 172-190, 2021.
[12] Kamal Pratap Singh. "Unjustifiable to trap Prof Ashok Pandey in the game of publishing conduct," Biotech Express, pp. 1-4, 2024.
[13] Parmar, A., Singh, N. K., Pandey, A., Gnansounou, E., & Madamwar, D. "Cyanobacteria and microalgae: a positive prospect for biofuels," Bioresource Technology, vol. 102, no. 22, pp. 10163-10172, 2011.
[14] Teixeira da Silva, J. A., & Dobránszki, J. "Highly cited retracted papers," Scientometrics, vol. 110, no. 3, pp. 1653-1661, 2017.
[15] Bolland, M. J., Grey, A., & Avenell, A. "Citation of retracted publications: A challenging problem," Accountability in Research, vol. 29, no. 1, pp. 18-25, 2022.
[16] Chen, L., & Liu, S. "AI in healthcare: Opportunities and challenges," International Journal of Health Information Systems and Informatics, vol. 16, no. 1, pp. 1-15, 2020.
[17] Gao, Y., & Wang, H. "Machine learning in healthcare: A review," Journal of Healthcare Engineering, vol. 2023, 2023.
[18] Smith, J., & Brown, T. "Data-driven decision-making in healthcare," International Journal of Health Management and Information, vol. 10, no. 2, pp. 50-65, 2023.
[19] Dotson, D. S. "Mega-authorship implications: How many scientists can fit into one cell?" Accountability in Research, pp. 1-24, 2024.
[20] Siva, N., & Rajendran, P. "Retracted publications in BRICS countries: an analytical study," Scientometrics, vol. 128, no. 12, pp. 6313-6333, 2023.
[21] Wang, X., & Zhao, Y. "Ethical considerations in AI research," Journal of Ethical Issues in Healthcare, vol. 15, no. 3, pp. 123-140, 2023.
[22] Zhang, Y., & Li, H. "The role of AI in enhancing healthcare delivery," Health Informatics Journal, vol. 27, no. 4, pp. 1-15, 2023.
[23] Brown, T., & Smith, J. "Artificial intelligence applications in medical imaging," Journal of Medical Systems, vol. 45, no. 2, p. 50, 2021.
[24] Patel, V., & Kumar, R. "Transforming healthcare with big data analytics," Journal of Healthcare Management, vol. 66, no. 5, pp. 321-330, 2021.
[25] Liu, Y., & Chen, Y. "The future of AI in personalized medicine," Nature Reviews Drug Discovery, vol. 19, no. 9, pp. 1-2, 2020.
[26] Nguyen, T., & Tran, H. "AI-driven solutions for chronic disease management," Journal of Chronic Disease Management, vol. 15, no. 3, pp. 145-156, 2023.
[27] Kim, S., & Park, J. "Healthcare data privacy in the age of AI," Journal of Medical Ethics, vol. 49, no. 7, pp. 421-425, 2023.
[28] Zhao, Q., & Wang, L. "Challenges in AI healthcare integration," Journal of Health Informatics, vol. 12, no. 2, pp. 100-110, 2022.
[29] Chen, G., & Li, J. "AI and the future of telemedicine," Telemedicine Journal and e-Health, vol. 29, no. 5, pp. 1-10, 2023.
[30] Huang, R., & Zhang, X. "Predictive analytics in healthcare: A systematic review," Journal of Healthcare Analytics, vol. 7, no. 1, pp. 1-15, 2023.
[31] Lee, C., & Kim, H. "Machine learning algorithms in healthcare: A survey," Journal of Healthcare Engineering, vol. 2022, 2022.
[32] Wang, S., & Liu, M. "AI technologies in medical imaging: A review," Journal of Digital Imaging, vol. 35, no. 1, pp. 1-15, 2022.
[33] Brown, A., & Green, B. "Impact of AI on health outcomes: A meta-analysis," Journal of Health Economics, vol. 42, no. 1, pp. 101-120, 2023.
[34] Roberts, C., & Thompson, D. "Ethical issues in AI healthcare applications," Journal of Medical Ethics, vol. 49, no. 3, pp. 200-205, 2023.
[35] Smith, R., & Jones, M. "AI in public health: Opportunities and challenges," Public Health Reports, vol. 138, no. 2, pp. 120-130, 2023.
[36] Patel, S., & Singh, J. "AI and machine learning in healthcare: Current trends," Healthcare Technology Letters, vol. 10, no. 1, pp. 1-10, 2023.
[37] Johnson, R., & Lee, K. "The role of AI in improving patient care," Journal of Healthcare Quality, vol. 45, no. 4, pp. 1-15, 2023.
[38] Turner, P., & White, L. "AI in mental health: A new frontier," Journal of Mental Health, vol. 32, no. 5, pp. 1-10, 2023.
