Dr Reetu Verma
- Librarian, Maharaja Surajmal Institute of Technology
- New Delhi, Delhi, India
Expertise
- Library and Information Science
- Her area of specialization is Library & Information Science, Research Productivity, Scientometrics, Bibliometrics, Data Visualisation, Artificial Intelligence (AI), Research Ethics, ICT applications in Library and Information Centres. She has played a pivotal role in library automation, digitization, and ICT integration, including the implementation of cloud-based LMS, development of institutional repositories, and promotion of digital literacy through NDLI (nationally recognized initiative).
Publications
16
Journal Articles
Google Scholar
Citation
13
Total
11
(2020)
H Index
2
Total
2
(2020)
i10 Index
0
Total
0
(2020)
Experience
Librarian
2010 - Present
Library
Maharaja Surajmal Institute of Technology
Maharaja Surajmal Institute of Technology
Librarian
2007 -
2008
Library
Kendriya Vidyalaya Sangathan
Kendriya Vidyalaya Sangathan
Information Officer
2008 -
2010
Library & Information Science
Tata Consultancy Services
Tata Consultancy Services
Experience
-
Administrative
180
-
Industry
48
Education
Ph.D
2024
Baba Mastnath University
Post Graduate Diploma in Library Automation and Networking (PGDLAN)
2010
Indira Gandhi National Open University
Master of Library and Information Science (M.L.I.Sc)
2006
University of Delhi, Delhi
Bachelor of Library and Information Science (B.L.I.Sc)
2005
University of Delhi
Master of Commerce (M.Com)
2004
Chaudhari Charan Singh University
Bachelor of Commerce (B.Com)
2001
Panjab University, Chandigarh
Senior Secondary School (12th)
1998
Kendriya-Vidhyala Adampur, Punjab (CBSE)
Secondary School (10th)
1996
Kendriya-Vidhyala Kasauli, Himachal Pradesh (CBSE)
A decade of research on Sustainable Development Goal 9 (SDG 9): a scientometric mapping of industry and innovation
GenAI: a scientometric analysis of research trends using biblioshiny and VOSviewer
A decade of data science research: insights from a bibliometric study
Global Research Trends in Blockchain in Smart Grid: a Text Mining Based Scientometric Study
