Zulkiffly Baharom
Biographic Data
| ID | 9985323 |
|---|---|
| NAME | Zulkiffly Baharom |
| GIVEN NAMES | Zulkiffly |
| FAMILY NAME | Baharom |
| SIGNATURE | BAHAROM Z |
| AFFILIATIONS | Northern University of Malaysia |
| ORCID | 0009-0002-0310-7893 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Bibliometric Analysis of Institutional Theory Research
Institutional Theory is essential for understanding organizational dynamics and societal impacts on business conduct. This research performs a bibliometric analysis of Institutional Theory literature utilizing Scopus data processed through ScientoPy and VOSviewer. Results indicate a substantial rise in scholarly output over the past sixty years, particularly since the early 2000s. Key publication venues include the "Journal of Management Inquiry"…
A Bibliometric Mapping of Artificial Intelligence Applications in Climate Change Research
Artificial intelligence (AI) in climate change study is a huge step forward in understanding, predicting, and dealing with environmental problems in the modern research world. This bibliometric study examines the evolution and landscape of artificial intelligence (AI) applications in climate change research from 1996 to 2024. The current analysis covers 399 publications based on two leading databases, Web of Science (WoS) and Scopus. ScientoPy is…
No prominent works on this page.
Bibliometric Analysis of Institutional Theory Research
Institutional Theory is essential for understanding organizational dynamics and societal impacts on business conduct. This research performs a bibliometric analysis of Institutional Theory literature utilizing Scopus data processed through ScientoPy and VOSviewer. Results indicate a substantial rise in scholarly output over the past sixty years, particularly since the early 2000s. Key publication venues include the "Journal of Management Inquiry"…
A Bibliometric Mapping of Artificial Intelligence Applications in Climate Change Research
Artificial intelligence (AI) in climate change study is a huge step forward in understanding, predicting, and dealing with environmental problems in the modern research world. This bibliometric study examines the evolution and landscape of artificial intelligence (AI) applications in climate change research from 1996 to 2024. The current analysis covers 399 publications based on two leading databases, Web of Science (WoS) and Scopus. ScientoPy is…
Regional science (2 works) · Air Quality Monitoring and Forecasting (1 work) · Biology (1 work) · Business and Economic Development (1 work) · Climate change (1 work) · Computer Science (1 work) · Data science (1 work) · Ecology (1 work) · Geography (1 work) · Hydrological Forecasting Using AI (1 work)