Machine Learning Research
for a Smarter Future
Advancing high-quality research in machine learning, artificial intelligence and intelligent computational technologies.
DIVERSITY OF AUTHORS
GLOBAL AUTHORSHIP OVERVIEW
Diversity of Authors
Exploring the geographical and institutional diversity of our contributing authors.
140Total Authors
53Institutions and Organisations
13Countries Represented
30.0%Outside Malaysia
Global Authorship Footprint
Our author affiliations span 13 countries. Malaysia accounts for 98 authors (70.0%), while 42 authors (30.0%) are affiliated with organisations in 12 other countries.
Malaysia: 98 (70.0%)
Other countries: 42 (30.0%)
Country figures are based on institutional affiliation, not nationality.
Authors by Country
One author each: Australia, United States, Oman, Mauritius, Japan, Canada and Yemen.
Institutional Participation
| Institution | Authors |
|---|---|
| Universiti Teknologi Malaysia (UTM) | 14 |
| Universiti Teknologi MARA (UiTM) | 12 |
| Universiti Malaysia Sarawak (UNIMAS) | 11 |
| Universiti Utara Malaysia (UUM) | 7 |
| Management and Science University (MSU) | 5 |
| University of Cape Coast | 5 |
Leading institutions shown; 53 institutions and organisations represented overall.
Complete Country Distribution
| Country | Authors | Share |
|---|---|---|
| Malaysia | 98 | 70.0% |
| Indonesia | 15 | 10.7% |
| India | 9 | 6.4% |
| Ghana | 5 | 3.6% |
| Jordan | 4 | 2.9% |
| Saudi Arabia | 2 | 1.4% |
| Australia | 1 | 0.7% |
| United States | 1 | 0.7% |
| Oman | 1 | 0.7% |
| Mauritius | 1 | 0.7% |
| Japan | 1 | 0.7% |
| Canada | 1 | 0.7% |
| Yemen | 1 | 0.7% |
Key Takeaways
Our authors represent 13 countries and 53 institutions and organisations. Internationally affiliated contributors account for 30.0% of the total, with Indonesia, India, Ghana and Jordan among the leading countries outside Malaysia.
