Library Hi Tech

Aims & Scope

Library Hi Tech (LHT) is an international, double-blind peer-reviewed, SSCI-listed journal that welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad disciplines of information and communication technologies.

However, LHT is particularly concerned with information management, technologies, and systems that support libraries and cultural memory, education and the academy, health and medicine, government/public sectors, and non-government organizations (NGOs).

LHT covers the IT-enabled creation, curation, representation, communication, storage, retrieval, analysis, and use of records, documents, files, data, learning objects, and other contents.

It also acts as a forum for interdisciplinary and emerging topics such as socio-information studies, educational technologies, knowledge management, big data, artificial intelligence, personal information protection, digital literacy, other media and technology innovation topics in their applications to libraries, as well as other education, information, government and NGOs.

LHT welcomes research that applies a broad array of approaches and epistemologies, including any mix of qualitative, quantitative, mixed-methods, action, participatory, evaluation, design, development or other established methodologies.

LHT invites full research and conceptual papers, as well as scholarly viewpoints and review articles (normally between 4,000 to 8,000 words).

LHT will also occasionally publish shorter research notes (under 4,000 words) on current work of excellent potential.

Authors must make a request for reviewing of research notes, if required, in the cover letter.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Clear and present questions: formulating questions for evidence based practice

  Citation: 253

  Authors: Andrew

• The intelligent library

  Citation: 200

  Authors: Andrew M., Stephen, Sophie

• Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019

  Citation: 198

  Authors: Deepa, Gurvinder

• Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

  Citation: 195

  Authors: Rifqah Olufunmilayo, Norris, Rose Alinda

• A critical appraisal tool for library and information research

  Citation: 147

  Authors: Lindsay

• Libraries as coworking spaces

  Citation: 142

  Authors: Mark, Marcus

• Intelligent libraries: a review on expert systems, artificial intelligence, and robot

  Citation: 116

  Authors: Asefeh, Andrea, Mohsen

• Progressing the definition of “e‐book”

  Citation: 111

  Authors: Magda, Jennifer

• The history and development of transaction log analysis

  Citation: 108

  Authors: Thomas A.

• Fake news: belief in post-truth

  Citation: 107

  Authors: Nick