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This paper presents a methodology to capture bibliographic data from the verso of the title pages of documents. A survey has been undertaken to identify the syntactic and semantic features of bibliographic elements on the verso of title pages. These features include the font size, line numbers and appearence of certain string of characters. Emphasis is given to the study of “cataloguing‐in‐publication” data. The results of the survey are used to develop heuristics which can help in developing a program to automatically identify the various bibliogaphic data elements. The back of the title pages are scanned and stored as HTML pages using optical recognition software. The heuristics are then applied on the HTML pages. Few samples of input and the output generated are presented. Finally, the problems related to OCR and the heuristics are enumerated.

This paper presents a methodology for automatic identification of bibliographic data elements from the title pages of books. Also enumerates the various steps like scanning the title pages, running optical character recognition (OCR) software, generating HTML files out of title pages and applying heuristics to identify the bibliographic data elements. Much of the paper deals with the surveys undertaken to analyze the characteristics of various bibliographic descriptive elements like title, author, publisher and other elements. The first survey deals with the sequence of the bibliographic data in the title pages. The second survey deals with the font size, font type and the proximity of each bibliographic element on the title pages. The survey results are then used to develop heuristics, in order to develop a rule‐based expert system which can identify the bibliographic elements on the title pages. The results of the system are presented, along with problems encountered.

The purpose of this study is to examine the Google Scholar (GS) and Scopus citations profiles of library and information science (LIS) faculty members employed in central universities in India to determine their research online visibility.

The data was collected through manual searches conducted on GS and Scopus profiles by the end of August 2023, using the names of the faculty members along with their affiliations. The determination of the minimum sample size for each was calculated based on Cochran’s formula.

The study revealed that out of 104 LIS faculty members from 19 central universities, 78 (75.0%) faculty members have profiles on GS, while 61 (58.6%) of them are on Scopus. The study found that the faculty members have a substantial number of publications on GS, while their publication count on Scopus appears comparatively lower. The results suggest that certain faculty members have produced a modest number of publications but have received a substantial number of citations compared to their colleagues. Consequently, it can be inferred that there is no straightforward correlation between the volume of publications and citation metrics.

As the study exclusively focused on LIS faculty members working within central universities in India who have profiles on GS and Scopus, the researchers did not reach all LIS faculty members in India.

The significance of this research lies in its potential of insights into research productivity and its impact, which are crucial aspects of academia. The study provides valuable insights for individual researchers, LIS departments, institutes and universities in India and other countries to enhance their research performance and foster collaboration by establishing new research guidelines.

There have been no published research studies regarding the GS and Scopus citation metrics concerning LIS faculty members across all central universities in India.