Shuhaida Ismail
- Environmental Engineering top 10%
- Electrical and Electronic Engineering
- Global and Planetary Change
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Co-authors
- Ani ShabriAida MustaphaShazlyn Milleana ShaharudinMou Leong TanMohd Helmy Abd WahabSyed Zulkarnain Syed IdrusMuhammad Usman TariqMuhammad Ammar Shafi
- Topics
- Hydrological Forecasting Using AI (11 papers)Stock Market Forecasting Methods (10 papers)Energy Load and Power Forecasting (9 papers)
- Cited by
- Environmental EngineeringManagement Science and Operations ResearchGlobal and Planetary Change
- Partner nations
- MalaysiaIraqUnited Arab Emirates
In The Last Decade
Shuhaida Ismail
32 papers receiving 318 citations
Peers
Comparison fields: 5 of 86
- Environmental Engineering 106
- Electrical and Electronic Engineering 72
- Global and Planetary Change 72
- Management Science and Operations Research 67
- Artificial Intelligence 65
Countries citing papers authored by Shuhaida Ismail
This map shows the geographic impact of Shuhaida Ismail's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shuhaida Ismail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhaida Ismail more than expected).
Fields of papers citing papers by Shuhaida Ismail
This network shows the impact of papers produced by Shuhaida Ismail. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shuhaida Ismail. The network helps show where Shuhaida Ismail may publish in the future.
Co-authorship network of co-authors of Shuhaida Ismail
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhaida Ismail. A scholar is included among the top collaborators of Shuhaida Ismail based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuhaida Ismail. Shuhaida Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 32 |
About Shuhaida Ismail
Shuhaida Ismail is a scholar working on Management Science and Operations Research, Environmental Engineering and Modeling and Simulation, having authored 37 papers that have together received 332 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (11 papers), Stock Market Forecasting Methods (10 papers) and Energy Load and Power Forecasting (9 papers). The work is most often cited by research in Environmental Engineering (106 citations), Management Science and Operations Research (67 citations) and Global and Planetary Change (72 citations). Shuhaida Ismail has collaborated with scholars based in Malaysia, Iraq and United Arab Emirates. Frequent co-authors include Ani Shabri, Aida Mustapha, Shazlyn Milleana Shaharudin, Mou Leong Tan, Mohd Helmy Abd Wahab, Syed Zulkarnain Syed Idrus, Muhammad Usman Tariq, Muhammad Ammar Shafi, Azme Khamis and Mohd Saiful Samsudin. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Hydrology and earth system sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.