Unveiling the future of artificial intelligence in talent acquisition
A bibliometric analysis of emerging trends and future directions
Bibliographic Data
| ID | 6455184 |
|---|---|
| Authors | B Nishanthi, C Hariharan (0000-0002-1035-5003), P Parthiban |
| Year | 2025 |
| Volume | 10 |
| Pages | 101410-101410 |
| Publication date | 2025-10-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101410 |
| OpenAlex | W4415017071 |
| Language | EN |
| References cited | 60 |
Bradford’s Law of Scattering
Bibliometric Analysis
A comparison of Scopus and Web of Science for a typical university
Artificial Intelligence in Human Resources Management
Tmap
An approach for detecting, quantifying, and visualizing the evolution of a research field
How to conduct a bibliometric analysis
The impact of implementing AI in recruitment on human resource management efficiency and organizational development effectiveness
The journal coverage of Web of Science, Scopus and Dimensions
Do researchers know what the h-index is? And how do they estimate its importance
From indexation policies through citation networks to normalized citation impacts
IoT in healthcare
Intelligent recruitment
Potential benefits and challenges of artificial intelligence in human resource management in public institutions
Examining the quality of the corresponding authorship field in Web of Science and Scopus
A comparison of smart city research and practice in Sweden and Japan
Software tools for conducting bibliometric analysis in science
| Citation velocity | historical |
|---|---|
| Highly cited | No |