International Journal of Artificial Intelligence (IJAI) tracks its academic influence and relevance using the Google Scholar Impact Factor, a metric derived from citation data provided by Google Scholar. This methodology allows IJAI to evaluate its impact within the scholarly community using a widely accessible and comprehensive database.
Methodology for Calculating Impact Factor
The Google Scholar Impact Factor is calculated using the following formula:
Impact Factor = Total Citations / Total Citable Items
- Total Citations: The number of citations in the current year to articles published in IJAI during the previous two years.
- Total Citable Items: The number of research articles, review papers, and other citable items published in IJAI during the same period.
This method provides an accurate and transparent assessment of the journal's impact, highlighting its role in advancing artificial intelligence research.
| Year | Impact Factor (Based on Google Scholar) |
|---|---|
| 2024 | 23.6 |
| 2023 | 19.8 |
| 2022 | 15.5 |
| 2021 | 9.6 |
The significant growth in IJAI's Impact Factor reflects its commitment to publishing high-quality, innovative, and influential research in the field of artificial intelligence.
Why the Impact Factor Matters
- Academic Influence: Demonstrates the journal’s role in shaping advancements in AI research.
- Author Credibility: Reflects the quality and visibility of articles published in IJAI.
- Global Recognition: Highlights IJAI's relevance and contribution to the international research community.
For more details about IJAI's impact metrics or submission guidelines, visit our website: https://ijai.in/ or contact us at Chiefeditor.ijai@gmail.com.
