## 2 Methodology
### Data Collection  
The widely used WoS provides access to scientific information, impact assessments, and collections going back to the Start Year. The WoS Core Collection stands out among the other WoS resources because it provides researchers with a vast collection of credible journals and publications in addition to relevant data that can be easily incorporated into bibliometric analysis tools. Four important databases are included in this collection: A&HCI (Arts and Humanities Citation Index), CPCI-S (Proceedings Citation Index-Science), SCI-EXPANDED (Science Citation Index Expanded), and SSCI (Social Sciences Citation Index).  
We have examined each of the aforementioned databases to guarantee the precision and completeness of our data. SCI-EXPANDED, SSCI, CPCI-S, and A&HCI make up the most accurate collection of databases according to our analysis. A PRISMA diagram Figure 1 shows the search strategy used on the WoS database and other sources, including and excluding results. WoS maintains popular repositories and indexing services for multiple disciplines. Repositories include IEEE Xplore, ACM Digital Library, Springer-Link, and others. It includes Elsevier's Scopus, Nature Publishing Group, and Wiley Online Library journals and conferences. WoS handles duplicates with robust metadata standardisation. WoS assigns a unique identifier (UT) to each publication, ensuring that the same record never counts twice and ensuring bibliometric analyses are accurate and free of redundancy. The search query given as \"TS = (\"Text summarization\" OR \"text summarizes\" OR \"text summarizing\" OR \"Text summarisation\" OR \"text summarising\")\" is used TS (Topic Search) to collect all possible papers in the title, abstract, author keywords, and keywords plus. Furthermore, the query includes \"text summarisation\", \"text summarises\", \"text summarising\", \"text summarises\", and many other terms separated by the OR operator. The query captured all possible spellings and grammatical forms of the term \"text summarisation\", including both common and uncommon variations. After a thorough search, the query returns the best filter results. The use of quotation marks ensured that each term matched exactly to the phrase.  
The researchers have published 983 articles from 2004 to September 2024, demonstrating consistent academic productivity centred on recent advancements and trends in text summarisation and related disciplines. These works have garnered 18,392 citations, with 14,833 excluding self-citations, highlighting their esteemed reputation and considerable influence within the academic community. The publications, with an average of 18.37 citations per article, demonstrate the significance of their contributions, which span 338 journals and involve collaborations with 2952 authors. The researcher's influence is demonstrated by an impressive H-index of 60, with at least 60 publications cited 60 times or more. Furthermore, their work has been referenced in 12,285 articles, with 11,657 excluding self-citations, indicating a significant and enduring influence in the domains of computer science, artificial intelligence, and associated fields. The research is exclusively presented in English, emphasising original and critical writings, with document types further classified as filters to improve scholarly engagement. This body of work shows how important the researcher is to advancing knowledge and driving innovation in their field.