The study identifies a gap in the systematic mapping

The gap

Evidence profile

Stated in the limitations and cells research gap sections of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• Platelet-Rich Plasma in the Treatment of Knee Osteoarthritis: A Bibliometric Analysis of Global Research Trends (2026) · Orthopedic Reviews · doi

  Several limitations should be considered when interpreting the findings of this bibliometric analysis. First, the study relied solely on the Web of Science database. Although Web of Science provides extensive coverage of peer-reviewed lit- erature, relevant publications indexed in other databases such as Scopus or PubMed may not have been captured. Second, bibliometric analyses are dependent on the accu- racy of database indexing and author affiliation informa- tion, which may introduce minor inaccuracies in institu- tional or country classifications. Additionally, duplicate publications or variations in au- thor name formatting may influence bibliometric network analysis despite attempts to clean the dataset. The analysis also evaluates publication quantity rather than study qual- ity; therefore, highly cited or methodologically rigorous studies cannot be distinguished from lower-quality publica- tions within the dataset. Finally, the study reflects the lit- erature available at the time of database retrieval and does not account for publications released subsequently. CONCLUSION Overall, while PRP demonstrates promising regenerative potential, the bibliometric trends indicate that the field is still evolving. Greater methodological standardization and increased international collaboration may help strengthen research and clarify the therapeutic role of PRP in knee os- teoarthritis management. Submitted: March 12, 2026 EDT. Accepted: March 26, 2026 EDT. Published: April 01, 2026 EDT.

  generalstated in limitationsevidence 5/5
  Keywords: bibliometric database publications science erature dataset march several limitations considered interpreting first relied solely provides
• Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models (2026) · PLOS One · doi

  Despite the systematic exploration undertaken in this study, several limitations should be acknowledged. First, the data sources are primarily drawn from the Web of Science and the national patent information platform. While these datasets provide authoritative and internationally comparable coverage of scholarly publications and formal technological outputs, they do not fully capture gray literature, conference proceedings, firm-level R&D reports, or unpublished patents. As a result, certain innovation activities—particularly those embedded in enterprises or informal knowledge channels—may be underrepresented, potentially introducing partial coverage bias. Second, the construction of retrieval strategies inevitably influences the scope of the dataset. In domains where fine- grained and universally accepted classification schemes are lacking, keyword-based queries may either omit relevant records or introduce cross-domain noise. Although expert taxonomies and iterative refinement were applied to mitigate this issue, some degree of incompleteness or contamination in the retrieved corpus cannot be entirely ruled out. PLOS One | https://doi.org/10.1371/journal.pone.0348590 May 14, 2026 35 / 38 Third, bibliometric and network-based approaches primarily capture output volume, co-occurrence patterns, and struc- tural relationships. While these methods are effective for identifying technological distributions, collaboration structures, and evolutionary trends, they are less capable of directly assessing research quality, technological novelty, or real-world economic impact. Consequently, the indicators used in this study should be interpreted as proxies for innovation activity rather than comprehensive measures of technological performance. Fourth, although large language models were introduced to support keyword standardization and semantic interpreta- tion, their outputs may still be influenced by training data, prompt design, and inherent semantic ambiguity. LLM-assisted processing may therefore introduce residual noise or bias, underscoring the importance of treating such tools as comple- mentary aids rather than autonomous analytical agents. Finally, the proposed framework places greater emphasis on structural patterns and temporal trends than on explicitly modeling dynamic interactions among policy environments, industrial value chains, and market demand. This limits the framework’s capacity to capture short-term shocks or feedback mechanisms, and future research could benefit from inte- grating policy dynamics, firm-level data, and market indicators to enhance explanatory power and predictive relevance.

  generalstated in limitationsevidence 5/5
  Keywords: technological capture primarily coverage outputs firm level innovation bias keyword based introduce noise patterns trends
• The Evolution of Kolmogorov-Arnold Networks: A Bibliometric Study of Theoretical Foundations and Engineering Applications (2026) · Archives of Computational Methods in Engineering · doi

  While this study provides a comprehensive bibliometric mapping of the KAN research landscape, several method- ological limitations must be acknowledged to ensure the appropriate interpretation of its findings. First, the biblio- graphic data was retrieved exclusively from the Web of Sci- ence Core Collection database. Although WoS is widely recognized as one of the most authoritative sources for peer reviewed scientific literature, its exclusive use means that relevant publications indexed in other major databases, such as Scopus, IEEE Xplore, and Google Scholar, may not be captured in the present analysis. Studies published in conference proceedings or preprint repositories such as arXiv, which are particularly prevalent in the rapidly evolv- ing machine learning field, are also largely absent from the WoS Core Collection, potentially underrepresenting the full scope of KAN research activity. The restriction to Web of Science was a deliberate meth- odological decision to ensure that the bibliometric corpus consisted exclusively of peer reviewed publications with verified citation records, which is a standard and widely adopted criterion in bibliometric research. While this means that influential arXiv preprints and conference papers, including the foundational KAN paper by Liu et al. [25], are not part of the mapped corpus, their intellectual influ- ence is indirectly captured through the citation patterns of the journal articles that build upon them. Future studies may consider extending the corpus to include Scopus or IEEE Xplore to broaden coverage, particularly for conference- heavy subfields within the KAN literature. 1 3M. H. Sulaiman, Z. MustaffaSecond, the language restriction applied during data col- lection, which limited the dataset to English language pub- lications only, may have introduced a systematic bias by excluding potentially significant contributions published in other languages, particularly given the strong representation of research institutions from non-English speaking countries within the KAN literature. Third, the application of a mini- mum citation threshold of 9 for the bibliographic coupling analysis, while necessary to ensure network interpretability and analytical reliability, inevitably excludes a proportion of recently published contributions that have not yet accumu- lated sufficient citations despite their potential intellectual significance. This limitation is particularly relevant in a field as young as KAN research, where high quality publications from late 2025 and early 2026 may be systematically under- represented in the coupling network due to the inherent lag between publication and citation accumulation. Fourth, although the search string was carefully constructed to cap- ture both the theoretical and architectural dimensions of the field, the possibility remains that some relevant publications employing variant terminologies or unconventional key- word combinations were not retrieved, introducing a degree of search recall limitation that is difficult to fully quantify.

  generalstated in limitationsevidence 5/5
  Keywords: publications particularly citation bibliometric ensure literature relevant published conference field corpus retrieved exclusively ence core
• The Evolution of Kolmogorov-Arnold Networks: A Bibliometric Study of Theoretical Foundations and Engineering Applications (2026) · Archives of Computational Methods in Engineering · doi

  The study identifies a gap in the systematic mapping of the intellectual structure and conceptual evolution of the KAN field using bibliometric methods. - The study highlights the lack of understanding of the current research front and the most influential authors in the KAN field.

  generalstated in cells research gapevidence 5/5
  Keywords: study identifies gap systematic mapping intellectual structure conceptual

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