Телеграм канал «RESEARCH RESULT. THEORETICAL AND APPLIED LINGUISTICS»

Dear colleagues and friends! 🎯 Scimago Update: Smarter Journal Discovery The Scimago Journal & Country Rank portal has enhanced its search functionality with new, practical filters to help you find journals more efficiently. You can now refine your search by: 🤩 Quartile: Quickly locate Q1 or Q2 journals within your specific field. 🤩 Country: Identify leading journals published in a particular nation. 🤩 Subject Area: Narrow down options within precise scientific categories. P.S. The platform also allows filtering for Open Access journals with options to export your results. Why this matters: These tools make it easier to conduct a preliminary, data-driven assessment of potential publication venues, moving beyond a simple glance at the ranking. 🔗 Useful Links: Explore the new Scimago filters: Scimago Journal & Country Rank For details in Russian, follow: Academic Watch

🧬 2025 Year in Review: Channel Highlights & Journal Issue No. 4 Dear colleagues and friends, 2025 has been a dynamic year for our academic community. We've explored new tools, discussed groundbreaking research, and engaged with the evolving landscape of linguistics. Let's revisit the key highlights from our channel and introduce the latest issue of our journal. 🔥 Top 5 Highlights from the RR_Linguistics Channel in 2025 🤖 AI as a Research Partner We delved into practical guides for integrating AI (like the Perplexity handbook) and Kaggle micro-courses for linguists. The key takeaway: AI is not a replacement for the scholar, but a powerful tool for automating routine tasks and analyzing data, freeing you to focus on deep, conceptual work. 🛠️ The Digital Linguist's Toolkit We spotlighted essential tools for modern analysis: BibExcel for bibliometrics and citation network analysis. Scopus AI for intelligent literature discovery and mapping. The future of quality assurance was debated in our coverage of Peer Review Week 2025. 👶 Groundbreaking Research A major focus was the landmark PNASstudy revealing how infants use vowel information to categorize objects and build their first lexicon. This work challenges fundamental assumptions about early language acquisition. 📈 Skills for Modern Science A recurring theme was digital and meta-scientific literacy. We emphasized the growing need for skills in data processing, visualization, and the critical evaluation of scientific literature in the digital age. 📖 Presenting "Linguistics" Journal, Issue No. 4, 2025 Alongside our channel activity, our peer-reviewed journal has continued its regular publication. The fresh fourth issue of 2025 features articles that resonate with many of the topics we've discussed: Theoretical Linguistics & Grammar: In-depth analysis of language systems and structures. Cognitive & Experimental Research: Work at the intersection of linguistics and psychology. Socio- & Pragmalinguistics: Study of language in its social context. Digital Methods & Corpus Linguistics: Application of new computational tools for language data analysis. This issue reflects the broad spectrum of contemporary scholarly inquiry in the science of language. 🔗 Dive Deeper: The fourth journal issue for 2025: https://rrlinguistics.ru/media/linguistics/2025/4/%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0_114_vIORCC0.pdf Thank you for being part of our community this year. We look forward to continuing these open discussions with you on the pages of Research Result.Theoretical and Applied Linguistics in 2026.

🔧 Tool Spotlight: BibExcel for Bibliometric Analysis Wondering how to dive into the formal analysis of academic literature, citation networks, or author collaborations? The classic, free tool BibExcel is a powerful option designed specifically for this task. What is BibExcel? Created by Olle Persson, BibExcel is a toolbox that helps you analyze bibliographic data (like records from Web of Science) or any similarly formatted text data. Its core function is to process raw data and prepare it for import into Excel or other tabular programs for further analysis and visualization. What Can Linguists Do With It? While used across sciences, it's highly relevant for meta-research in linguistics. You can use it for: 📊 Citation Analysis & Bibliometrics: Study the impact and connections within a body of linguistic literature. 👥 Co-authorship & Collaboration Analysis: Map networks of researchers in sub-fields. 🔗 Co-citation Analysis & Bibliographic Coupling: Identify related papers, seminal works, and research fronts. 🗺️ Preparing Data for Mapping: Generate files for network visualization tools like Pajek. Key Practical Details Cost & Use: It's freeware for academic, non-profit use. Format: It primarily works with ISI/Web of Science records but can convert some other formats. Process: It's not a single-click tool. You use different modules to clean, count, and structure data before final analysis in a spreadsheet or visualization software. Getting Started & Learning Download: The latest version and help files are available from the official page. Learn: The page provides sample data and 16 step-by-step exercises (using co-citation studies) which are the best way to learn. Explore: Check the linked "Festschrift" chapter and audiovisual courses for deeper understanding. If you use it in your research, you have to cite the recommended paper by Persson et al. 🔗 Resources: Download & Exercises: BibExcel Homepage Recommended Citation: Persson, O., Danell, R., & Wiborg Schneider, J. (2009). How to use Bibexcel for various types of bibliometric analysis.