The rise of Indo-German collaborative research: 1990-2022
| Autor: | Mir, Aasif Ahmad, Smirnova, Nina, Ramalingam, Jeyshankar, Mayr, Philipp |
|---|---|
| Rok vydání: | 2024 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavors. Together with this paper, we provide an openly accessible dataset of Indo-German research articles for further and reproducible research activities (the "Indo-German Literature Dataset"). The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the employed query. Acknowledged entities were extracted using a NER model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations, and gender of the first author, as well as collaboration patterns between Indian and German funders were examined. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics, and Engineering prominently dominate the Indo-German collaborative research. The United States, followed by England and France, are the most active collaborators in Indian and German research. Additionally, relations between entity, entity type, and scientific domain, were discovered. The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the last 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, we provide an open version of the original WoS dataset. The Indo-German Literature Dataset consists of 22,844 articles from OpenAlex and is available for related studies like literature studies and Scientometrics. Comment: 37 pages, 9 figures, accepted paper Global Knowledge, Memory and Communication |
| Databáze: | arXiv |
| Externí odkaz: |
|