Journal Navigation
Journal of Information Technology Research (JITR)
Emerging Sources Citation Index

Journal of Information Technology Research (JITR)

This journal was converted to full Gold Open Access on January 1, 2022
Editor-in-Chief: Francisco José García-Peñalvo (University of Salamanca, Spain)
Indexed In: INSPEC, Web of Science Emerging Sources Citation Index (ESCI) and 15 more indices
Published: Continuous Volume |Established: 2008
ISSN: 1938-7857|EISSN: 1938-7865|DOI: 10.4018/JITR
Journal Metrics
Submission to Acceptance: Approx. 17 - 21 Weeks
Acceptance to Publication: Approx. 42 - 46 Weeks
Acceptance Rate: 20%
Latest Published Articles
Published: Jan 1, 2022
DOI: 10.4018/JITR.2022010101
Volume 15
Designing a system for analytics of high-frequency data (Big data) is a very challenging and crucial task in data science. Big data analytics involves the development of an efficient machine... Show More
Download Sample (PDF): Article
Cite Article

MLA

Kumar, Ravinder and Lokesh Kumar Shrivastav. "Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis: A Case Study of the Stock Market." vol.15, no.1 2022: pp.1-20. http://doi.org/10.4018/JITR.2022010101

APA

Kumar, R., & Shrivastav, L. K. (2022). Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis: A Case Study of the Stock Market. , 15(1), 1-20. http://doi.org/10.4018/JITR.2022010101

Chicago

Kumar, Ravinder, and Lokesh Kumar Shrivastav. "Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis: A Case Study of the Stock Market," 15, no.1: 1-20. http://doi.org/10.4018/JITR.2022010101

Export Reference

Mendeley
Published: Jan 1, 2022
DOI: 10.4018/JITR.2022010102
Volume 15
Stochastic time series analysis of high-frequency stock market data is a very challenging task for the analysts due to the lack availability of efficient tool and techniques for big data analytics.... Show More
Download Sample (PDF): Article
Cite Article

MLA

Kumar, Ravinder and Lokesh Kumar Shrivastav. "An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction." vol.15, no.1 2022: pp.1-19. http://doi.org/10.4018/JITR.2022010102

APA

Kumar, R., & Shrivastav, L. K. (2022). An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction. , 15(1), 1-19. http://doi.org/10.4018/JITR.2022010102

Chicago

Kumar, Ravinder, and Lokesh Kumar Shrivastav. "An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction," 15, no.1: 1-19. http://doi.org/10.4018/JITR.2022010102

Export Reference

Mendeley
Published: Jan 1, 2022
DOI: 10.4018/JITR.2022010103
Volume 15
Extracting an effective facial feature representation is the critical task for an automatic expression recognition system. Local Binary Pattern (LBP) is known to be a popular texture feature for... Show More
Download Sample (PDF): Article
Cite Article

MLA

Pitchaiyan, Shanthi and Nickolas Savarimuthu. "Deep Stacked Autoencoder-Based Automatic Emotion Recognition Using an Efficient Hybrid Local Texture Descriptor." vol.15, no.1 2022: pp.1-26. http://doi.org/10.4018/JITR.2022010103

APA

Pitchaiyan, S., & Savarimuthu, N. (2022). Deep Stacked Autoencoder-Based Automatic Emotion Recognition Using an Efficient Hybrid Local Texture Descriptor. , 15(1), 1-26. http://doi.org/10.4018/JITR.2022010103

Chicago

Pitchaiyan, Shanthi, and Nickolas Savarimuthu. "Deep Stacked Autoencoder-Based Automatic Emotion Recognition Using an Efficient Hybrid Local Texture Descriptor," 15, no.1: 1-26. http://doi.org/10.4018/JITR.2022010103

Export Reference

Mendeley
Description, Mission, Scope & Coverage
Description:
The Journal of Information Technology Research (JITR) presents comprehensive interdisciplinary and refereed research on the most emerging and breakthrough areas of information science and technology. The journal seeks to improve and expand existing research in underrepresented areas of information... Show More
Mission & Scope:
The Journal of Information Technology Research (JITR) seeks to provide evidential research on groundbreaking and emerging areas of information science and technology, with particular focus on breaking trends in medical informatics, social computing and biotechnology. In endeavoring to fulfill the objectives of providing a scholarly and quality outlet for innovative topics, trends and research in... Show More
Coverage:

The Journal of Information Technology Research (JITR) covers novel and emerging research in the field of information science and technology. The journal specifically focuses on underrepresented technologies and trends that influence and engage the knowledge society. Topics include, but are not limited to:

  • 3-D imaging and printing technologies
  • Algebraic biology
  • Agricultural informatics
  • Anthropocentric computing
  • Artificial immune systems
  • Artificial intelligence technologies
  • Assistive technologies
  • Biodiversity applications
  • Bioethics
  • Bioinformatics/biotechnology
  • Biomaterials and nanotechnology
  • Biometrics
  • Biosensors
  • Biosurveillance
  • Bioterrorism and situational awareness
  • Cellular automata
  • Chemoinformatics
  • Cloning
  • Cloud computing
  • Cognitive informatics
  • Cultural algorithms
  • Cultural informatics
  • Diagnostic informatics
  • Digital ecosystems
  • Digital forensics
  • Drug discovery technologies
  • Ecological modeling
  • Electric vehicle technology
  • Evidence-based medicine
  • Environmental informatics
  • Flexible and adaptive technologies
  • Gaming technologies
  • Gene therapy
  • Genetic algorithms and programming
  • Genomics and proteomics
  • Green technologies
  • Grid computing
  • Haptics
  • High performance computing
  • Health information technologies
  • Hemodynamics
  • Human-centric and pervasive computing
  • Human-computer interface
  • Human tracking technologies
  • Image and speech recognition
  • Internet of Things
  • Malware
  • Marine technology
  • Microarray technologies
  • Medical imaging technologies
  • Medical intelligence
  • Medical informatics
  • Mobile technology development
  • Multicore technology
  • Nanoreactors
  • Nanorobotics
  • Nanostructures
  • Nanotechnology
  • Natural computing
  • Natural language applications
  • Network architectures
  • Network technologies
  • Open source software
  • Optoelectronic technologies
  • Pattern recognition
  • Predictive analysis tools
  • Pharmaceutical informatics
  • Quantum informatics
  • Radiology technologies
  • Sensor technologies
  • Social informatics
  • Surgical informatics
  • Tablet technologies
  • Telemedicine
  • Telenursing
  • Telesurgery
  • Tissue engineering applications
  • Surveillance technologies
  • Virtualization
  • Wearable computing
  • Wireless technologies

JITR is committed to new research and technologies and welcomes submissions in emerging fields that may not fall within the above topics in order to advance the discipline.

Editorial Board

Editorial Board

International Advisory Board
Ali Salmasnia, University of Qom, Iran, Islamic Republic Of
Brij Gupta, Asia University, Taiwan, India
Gulshan Shrivastava, Sharda University, India ORCIDhttps://orcid.org/0000-0003-3671-4921
Hadj Ahmed Bouarara, Université Dr Tahar Moulay de Saïda, Algeria ORCIDhttps://orcid.org/0000-0002-4973-4385
Kijpokin Kasemsap, Suan Sunandha Rajabhat University, Thailand
Poorva Devi, SCSVMV University, India
Sugam Sharma, Iowa State University, United States
Associate Editors
Ángel Hernández-García, Universidad Politécnica de Madrid, Spain
Brian Whitworth, Massey University, New Zealand
Juan Cruz-Benito, IBM Research, Spain ORCIDhttps://orcid.org/0000-0003-2045-8329
Norshidah Mohamed, Universiti Teknologi Malaysia, Malaysia
Panayotis E. Fouliras, University of Macedonia, Greece
Phillip Olla, Madonna University, United States
Stephen Mutula, University of KwaZulu-Natal, South Africa
Suash Deb, Cambridge Institute of Technology, India
Wen-Chen Hu, University of North Dakota, United States
Editorial Review Board
Abhijit Chaudhury, Bryant University, United States
Ada Scupola, Roskilde University, Denmark ORCIDhttps://orcid.org/0000-0002-3537-7639
Adel Al-Jumaily, University of Technology Sydney, Australia
Ali Al Sanousi, Harvard Medical School, Saudi Arabia
Alicia García-Holgado, University of Salamanca, Spain ORCIDhttps://orcid.org/0000-0001-9663-1103
Amanda Spink, Loughborough University, United Kingdom
Andrea Vazquez Ingelmo, GRIAL Research Group, Research Institute for Educational Sciences, University of Salamanca, Spain ORCIDhttps://orcid.org/0000-0002-7284-5593
Anthony Duben, Stephen F. Austin State University, United States
Bernie Garrett, The University of British Columbia, Canada
Carina Gonzalez, University of La Laguna, Spain
Chao Wang, Amazon Web Services, United States
Chia-Wen Tsai, Ming Chuan University, Taiwan
Christos Schizas, University of Cyprus, Cyprus
Daniel Barredo, Universidad del Rosario ORCIDhttps://orcid.org/0000-0002-2259-0756
Dick Hartley, Manchester Metropolitan University, United Kingdom
Dorel Picovici, Institute of Technology Carlow, Ireland
Enrique Sánchez Acosta, Universidad Europea, Spain ORCIDhttps://orcid.org/0000-0003-3618-3374
Farid Meziane, University of Salford, United Kingdom ORCIDhttps://orcid.org/0000-0001-9811-6914
Flavio Correa Da Silva, Universidade de Sao Paulo, Brazil
George Magoulas, University of London/Birkbeck College, United Kingdom ORCIDhttps://orcid.org/0000-0003-1884-0772
Giulio Concas, University of Cagliari, Italy
Hepu Deng, RMIT University, Australia
Hongwei Mo, Harbin Engineering University, China
Jeļena Zaščerinska, Centre for Education and Innovation Research, Latvia ORCIDhttps://orcid.org/0000-0003-4664-8593
Jens Lehmann, Universität Leip, Germany
Jen-Yao Chung, Quanta Cloud Technology, United States
Jie Du, Grand Valley State University, United States
Joao Miguel Fernandes, Universidade do Minho, Portugal
José Carlos Sánchez-Prieto
Juan Manuel Dodero, University of Cadiz, Spain ORCIDhttps://orcid.org/0000-0002-4105-5679
Juliette Rouchier, GERQAM, CNRS., France
Jyotir Chatterjee, Lord Buddha Education Foundation, Nepal ORCIDhttps://orcid.org/0000-0003-2527-916X
Kwok Tai Chui, Hong Kong Metropolitan University, Hong Kong
Lavanya sharma, Uttarakhand Technical University, India, India
MALINI PATIL, J S S ACADEMY OF TECHNICAL EDUCATION BENGALURU, India ORCIDhttps://orcid.org/0000-0001-6959-7843
Maoguo Gong, Xidian University, China
María Manuel Borges, University of Coimbra, Portugal ORCIDhttps://orcid.org/0000-0002-7755-6168
Miguel Ángel Conde-González, Universidad de León, Spain ORCIDhttps://orcid.org/0000-0001-5881-7775
Mohamed Daassi, University of François Rabelais, France
Mohd Syuhaidi Abu Bakar, Universiti Teknologi MARA, Malaysia
Nabeel Ali, University of Kufa, Iraq ORCIDhttps://orcid.org/0000-0001-9988-5619
Nardjes Bouchemal, University Center of Mila. LIRE Laboratory of Constantine, Algeria
Oscar Corcho, Universidad Politécnica de Madrid, Spain
Patrick Brézillon, University Pierre et Marie Curie (UPMC), France
Payam Hanafizadeh, Allameh Tabataba'i University, Iran, Islamic Republic Of ORCIDhttps://orcid.org/0000-0002-5233-987X
Robert Owen, Texas A&M University-Texarkana, United States
Schubert Foo, Nanyang Technological University, Singapore
Shadrack Katuu, University of South Africa, Kenya ORCIDhttps://orcid.org/0000-0002-5526-4770
Shawn Long, The University of North Carolina at Charlotte, United States
Sheng-Uei Guan, Xian Jiatong-Liverpool University, China
Souren Paul, Nova Southeastern University, United States
Steve Goschnick, Swinburne University of Technology, Australia
Suash Deb, Cambridge Institute of Technology, India
Sukumar Senthilkumar, Universiti Sains Malaysia, Malaysia
Thomas Mandl, University of Hildesheim, Germany ORCIDhttps://orcid.org/0000-0002-8398-9699
Tom Gross, University of Bamberg, Germany
Tránsito Ferreras-Fernández, University of Salamanca, Spain ORCIDhttps://orcid.org/0000-0002-2766-5382
Vishal Bhatnagar, Ambedkar Institute of Advanced Communication Technologies & Research, India
Wei-Chiang Hong, Asia Eastern University of Science and Technology, Taiwan, China ORCIDhttps://orcid.org/0000-0002-3001-2921
Weijun Zheng, University of Wisconsin Parkside, United States
Yousif Mustafa, Indiana University South Bend, United States
Editorial Policy
IGI Global holds its journals to the highest ethical practices. View Full Editorial Policy
IGI Global Open Access
As an academic publisher at the forefront of advancement for over 30 years, IGI Global OA provides quality, expediate OA publishing with a top-of-the-line production system backed by the international Committee on Publication Ethics (COPE). With a streamlined publishing process, flexible funding options, and more, researchers can freely and immediately share their peer-reviewed research with the world.
  • Rigorous and Expediate Publishing Process
  • Research Is Fully Free and Accessible to All (Creative Commons BY License)
  • Increased Discoverability of Published Content (89% Higher Download Rate)
  • Acceleration of Citation Impact & Increased Indexing Potential
  • Greater Visibility & Wider Professional Recognition
  • Opportunities for Networking & Collaboration
  • Supports Overall Career Advancement
  • Affordable Article/Chapter Processing Charges (APCs/CPCs) (Starting at US$ 500)
  • And More.
Article Processing Charges
Article Processing Charge (APC):

Payment of the APC fee (directly to the publisher) by the author or a funding body is not required until AFTER the manuscript has gone through the full double-blind peer review process and the Editor(s)-in-Chief at his/her/their full discretion has/have decided to accept the manuscript based on the results of the double-blind peer review process. 
Please note that IGI Global cannot schedule the article for publication or publish the article until payment has been received. It is also important to note that in scholarly publishing, utilizing an open access journal's resources and time with no intent to pay the open access Article Processing Charge (APC) if the article manuscript is accepted following the peer review process is considered to be unethical and exploitative.

What Does IGI Global's Open Access APC Cover?

In the traditional subscription-based model, the cost to the publisher to produce each article is covered by the revenue generated by journal subscriptions. Under OA, all the articles are published under a Creative Commons (CC BY) license; therefore, the authors or funding body will pay a one-time article processing charge (APC) to offset the costs of all of the activities associated with the publication of the article manuscript, including:

  • Digital tools used to support the manuscript management and review process
  • Typesetting, formatting and layout
  • Online hosting
  • Submission of the journal's content to numerous abstracts, directories, and indexes
  • Third-party software (e.g. plagiarism checks)
  • Editorial support which includes manuscript tracking, communications, submission guideline checks, and communications with authors and reviewers
  • All promotional support and activities which include metadata distribution, press releases, promotional communications, web content, ads, fliers, brochures, postcards, etc. for the journal and its published contents
  • The fact that all published articles will be freely accessible and able to be posted and disseminated widely by
    the authors
  • Professional line-by-line English language copy editing and proofreading*

*This service is only performed on article manuscripts with fully paid (not discounted or waived) APC fees.

APC Subsidizing and Funding

To assist researchers in covering the costs of the APC in OA publishing, there are various sources of OA funding. Additionally, unlike many other publishers, IGI Global offers flexible subsidies, 100% Open Access APC funding, discounts, and more. Learn More

Open Access Funding Resources
IGI Global recognizes that many researchers may not know where to begin when searching for OA funding opportunities. IGI Global recently launched an Open Access Funding Resources page for researchers to browse. This page provides a comprehensive list of OA funding sources available for researchers to secure funds for their various OA publications.
Submit to This Journal
This journal is currently actively seeking new submissions. Interested authors should ensure that their article manuscript adheres to the journal's submission guidelines and utilize the journal article template, which include originality of the manuscript, professional English language copy editing, APA formatting tips, and more. To submit an article for consideration, please begin the submission process below.
Contact
All inquiries regarding JITR should be directed to the attention of:
Francisco José García-Peñalvo
Editor-in-Chief
E-mail: JITR@igi-global.com

All manuscript submissions to JITR should be sent through the online submission system:
http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.