Jun 2026· İçtimaiyat· Vol 10, pp. 733-747· 0 citations· 11 references
Abstract
This study aims to provide a bibliometric analysis of Kurdish linguistics research indexed in the Web of Science database from a sociolingustic perspective. Using the criteria of “topic” and “linguistics,” in the field of Linguistics the study identified 147 publications published between 1997 and 2025. The analysis applies Performance Analysis and Science Mapping techniques to explore publication timeline, country contributions, leading authors, most cited works, keyword co-occurrence, and co-citation networks. The findings reveal a steady increase in publications, with Iran, the USA, and Türkiye emerging as the most active contributors. Key authors such as Amir Karimipour, Geoffrey Haig, Yadgar Karimi, and Vali Rezai are among the most productive, while Nihat Polat, Geoffrey Haig, and Jaffer Sheyholislami rank among the most cited. Keyword analysis highlights both sociolinguistic themes such as bilingualism and language policy, and linguistic topics such as Kurdish, Iranian languages, and ezafe. The results also show that research numbers reached its highest levels in 2021 and 2024. From a sociolinguistic perspective, the findings indicate that political conditions and institutional support play an important role in shaping research productivity and collaboration in Kurdish linguistics, both of which remain limited despite the field’s steady growth.
This article, which presents a bibliometric analysis of discourse analysis research in Türkiye, systematically evaluates nearly 50 years of production in the field using the Scopus database. The findings of the research indicate that discourse studies in Türkiye are predominantly concentrated in the social sciences and humanities. The most prominent thematic concentrations are on political discourse, nationalism, populism, gender, and European Union debates. While Critical Discourse Analysis stands out as the dominant methodological approach, innovative techniques such as multimodal analysis or corpus-based methods appear to be insufficient. An examination of language preferences reveals that English is overwhelmingly preferred for global visibility, while Turkish remains an important local production language. Institutional performance analyses reveal that Bilkent, Koç, and Boğaziçi universities hold leading positions in terms of both publication volume and citation impact. An examination of collaborative networks among authors reveals that individuals such as Deniz Zeyrek and Bedrettin Yazan play a central role. However, it is also true that a significant portion of the 2,883 authors remain outside these collaborative networks. International collaborations and citation rates demonstrate that the integration of researchers in Türkiye with the global academy is becoming increasingly stronger, but this interaction can be further enhanced. The study also points to significant gaps in the existing literature. The limited number of discourse studies in the fields of Science, Technology, Engineering, and Mathematics, the inadequate research in contemporary contexts such as digital platforms and artificial intelligence, and the limited methodological diversity are among the most prominent shortcomings.
This study integrates bibliometric visualization with content coding to clarify the development, knowledge structure, and research gaps of digital discourse studies, offering directions for future interdisciplinary inquiry.
Yifan Liu, Omar Ali Al-Smadi, Siti Soraya Lin Abdullah Kamal et al.· Journal of Nusantara Studies...· 0 citations
This study aims to map the intellectual and conceptual landscape of the B Corp movement within the scientific literature through a quantitative bibliometric analysis. Utilising the Web of Science (WoS) Core Collection database, the research analyses 108 peer-reviewed articles published between 2007 and 2025. Data visualisation and network analysis, including co-authorship and keyword co-occurrence, were performed using the VOSviewer software. The results show that the number of publications has been growing exponentially since 2011, and the majority of the articles are in the business and management field. A total of 282 keywords were evaluated, and “B Corp” (total link strength: 315) and “Corporate Social Responsibility” (total link strength: 92) were identified as central conceptual pillars. The most cited influential work is by Julie Battilana and Alnoor Ebrahim, with 728 citations. Geographic concentration is still strong in the USA and Europe, but research on emerging economies, such as Türkiye, where there are presently 15 certified B Corps, is critically lacking. The results show a conceptual move from general corporate responsibility to specific issues of 'social impact' and 'employee ownership'. The paper concludes with a research agenda for future research that can help bridge the gap between global norms and local institutional contexts, particularly for researchers in Türkiye.
Şafak Altay· Trends in Business and Econo...· 0 citations
Before the late nineteenth century, linguistic research relied heavily on dictionaries, but by the end of the century two European scholars, G. Wenker and J. Gillieron, revolutionized linguistic methodology with two very different approaches to data collection in Europe. One hundred years later, just a few years before the founding of Masyarakat Linguistik Indonesia, two other European linguists, G. Diffloth and B. Nothofer, began their fieldwork projects in Island Southeast Asia. Their methodologies—connected yet differing in some details—have been explained in print and online sources. This essay focuses on linguistic fieldwork and research methodology based on empirical and inductive principles by reviewing the methods of Diffloth and Nothofer and comparing their approaches to those procedures used in a few recent linguistic studies of local languages in Malaysia and Indonesia. The underlying importance of studying the social history and the geography of the language communities involved in research projects as well as the need for cooperative interaction between researchers and language informants are the only basis for credible linguistic analysis. As hundreds of regional languages in Southeast Asia are threatened with obsolescence, linguists must not only document these languages but explore modes of cooperation with communities seeking to maintain their heritage languages from generation to generation. Computer programs such as ELAN can be used not only to document endangered languages but to revitalize them as well. As linguists, we need to rethink our procedures and enhance our interactions with the language communities of these islands.
Arabic Natural Language Processing (NLP) has grown rapidly over the past decade, driven by digital transformation in the Arab world, social media, and large language models (LLMs). Despite this growth, a comprehensive quantitative meta-analysis remains absent. This study presents a bibliometric and topic-based analysis of 7,120 Arabic NLP papers published between 1960 and 2026, sourced from five platforms (arXiv, ACL Anthology, Semantic Scholar, Crossref, OpenAlex) plus an additional targeted OpenAlex subset. We employ BERTopic for topic modeling, regression analysis, social network analysis, and geographic mapping. Our findings show a significant publication surge after 2020, driven by transformer models and LLMs. Topic modeling identifies 19 themes, the largest centered on text, speech, translation, and recognition (2,942 papers). Citation analysis reveals a positive correlation between paper age and citations (r = 0.245, p<0.001); regression (R^2 = 0.105) shows that indexing in OpenAlex or Semantic Scholar and institutional affiliation are associated with higher citations. Saudi Arabia, the United States, and Egypt lead in research output. A task-dialect gap matrix identifies understudied areas, including summarization for Maghrebi, Iraqi, and Sudanese dialects. The largest topic has the highest H-index (90), followed by sentiment analysis (57). Our quantitative approach complements existing qualitative surveys and offers recommendations to prioritize under-resourced dialects and develop culturally aligned benchmarks.
Corpus linguistics (CL) has been the most effective method of linguistic research in the past few decades; it gives the real language data and quantitative evidence. The integration of corpus linguistics into onomastic studies has opened the door for studying structural, semantic, pragmatic and functional properties of proper names in different kinds of language. The study examines how large electronic corpora can be used to study the frequency, distribution, collocational patterns and context-specific use of anthroponyms, toponyms, ethnonyms and other types of proper names. Corpus-based approaches allow researchers to study naming trends, language variation and semantic changes across different periods and sociocultural contexts. Moreover, corpus tools contribute to identifying the repetitive patterns of proper names and also provide data for lexicographic and linguistic analysis. We focus particularly on corpus linguistics in the context of contemporary onomastic research in literature, media and historical documents. We also review some of the work of famous scholars who point out the importance of corpus linguistics in the context of communicating and cultural aspects of proper names. We find that corpus linguistics not only enhances the accuracy and objectivity of onomastic studies; but it also contributes in a more nuanced way to the discourse about language, culture and identity. Therefore, corpus-based onomastic analysis is an interesting direction for linguistic research and interdisciplinary work.
Zahriddin Xaitqulov, Abror Shaymardanov· Ijtimoiy-gumanitar sohada il...· 0 citations