Number of Volumes 16
Number of Issues 70
Number of Articles 679
Number of Contributors 1,775
Article View 1,446,196
PDF Download 1,384,437
View Per Article 2129.89
PDF Download Per Article 2038.94
-----------------------------------------
Number of Submissions 3,486
Rejected Submissions 2,178
Reject Rate 62
Accepted Submissions 254
Acceptance Rate 7
Time to Accept (Days) 193
Number of Indexing Databases 26
Number of Reviewers 265

Journal of Information Technology Management (JITM) is open access and a peer-reviewed quarterly journal devoted to the field of IT Management with the aim of developing administration knowledge, identifying the management problems in organizations and presenting the solutions. The submitted papers will be published after a special review as well as the approval of the editorial board.The journal was established by the Faculty of Management, the University of Tehran in 2009. The honorable professors and researchers are highly appreciated if they visit this site, register, submit and set up their papers based on authors' guidelines. Therefore, visiting in person or calling the journal office are not recommended, so all connections with authors and honorable reviewers are done through the website.

 

“This journal is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws”

 

Call for Papers

 

1. Strategic, Organizational, and Social Issues of Digital Transformation in Organizations

 

 

Current Issue: Volume 16, Issue 1, 2024, Pages 1-181 

Comparative Study on Different Machine Learning Algorithms for Neonatal Diabetes Detection

Pages 5-26

10.22059/jitm.2024.96359

S. Thangamayan; Anurag Sinha; Vishal Moyal; K. Maheswari; Nimmala Harathi; Ahmad Nur Budi Utama


Brain Tumor Image Prediction from MR Images Using CNN Based Deep Learning Networks

Pages 44-60

10.22059/jitm.2024.96374

Bolleddu Sudhakar; Poornima A Sikrant; Mudarakola Lakshmi Prasad; S Bhargavi Latha; Golconda Ravi Kumar; Sabavath Sarika; Pundru Chandra Shaker Reddy


Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks

Pages 61-87

10.22059/jitm.2024.96375

Sivaji U; Siva Padmini P; Chatrapathy K; K Arun Kumar; Kutralakani Chanthirasekaran; Vonguru Chandraprakash; Yadala Sucharitha


Efficient NetB3 for Enhanced Lung Cancer Detection: Histopathological Image Study with Augmentation

Pages 98-117

10.22059/jitm.2024.96377

Bhavani Rupa Devi; Karthik Sagar Ashok; Seemanthini Krishne Gowda; Konatham Sumalatha; Ganesan Kadiravan; Ranjith Kumar Painam


Chronic Kidney Disease Risk Prediction Using Machine Learning Techniques

Pages 118-134

10.22059/jitm.2024.96378

Baswaraj D; Chatrapathy K; Mudarakola Lakshmi Prasad; Pughazendi N; Ajmeera Kiran; Partheeban N; Pundru Chandra Shaker Reddy


Performance Comparison of Different Digital and Analog Filters Used for Biomedical Signal and Image Processing

Pages 135-148

10.22059/jitm.2024.96379

Hemanand Duraivelu; Udaya Suriya Rajkumar Dhamodharan; Pamula Udayaraju; S. Jaya Prakash; Sasikumar Murugesan


Clinical Healthcare Applications: Efficient Techniques for Heart Failure Prediction Using Novel Ensemble Model

Pages 149-166

10.22059/jitm.2024.96380

Ashwitha Anni Poojari; Sivaji Uppala; Bhavani Rupa Devi; Gandela Sujatha; Konduru Reddy Madhavi; Tammineni Ravi Kumar


An Intelligent Heart Disease Prediction by Machine Learning Using Optimization Algorithm

Pages 167-181

10.22059/jitm.2024.96381

Jebakumar Immanuel D; Sathesh Abraham Leo E; Saranya S; Nithiya C; Arunkumar K; Pradeep D


Publication Information

Publisher

Director-in-Charge Editor-in-Chief Associate Editor Executive Director Language Editor
Frequency
Quarterly
Online ISSN