Researchers have analyzed 25,204 papers in Library and Information Science (LIS) from 1990-2022 using Top2Vec for topic identification and CogFT for method classification. The study found that female scholars exhibited less convergence in their research methods and topic choices compared to male scholars, highlighting gender differences in collaborative research. Another study examined 26,677 LIS articles from 1990-2023, revealing that while theoretical approaches declined, experimental and bibliometric methods gained prominence. This research also indicated that mid-career scholars demonstrated the highest method diversity, with late-career scholars showing the lowest. AI
IMPACT These studies highlight how AI tools like Top2Vec and CogFT can analyze large corpora to reveal trends in academic research, potentially informing future research strategies and collaborations.
RANK_REASON The cluster consists of multiple academic papers published on arXiv, focusing on research methodology and analysis within a specific academic field.
Read on arXiv cs.IR (Information Retrieval) →
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- Connected Papers
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- Journal of the Association for Information Science and Technology
- library and information science
- Litmaps
- ScienceCast
- scite Smart Citations
- CogFT
- Top2Vec
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