Guma Ali
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Information Systems top 10%
- Blockchain Technology Applications and Security
- User Authentication and Security Systems
Papers in
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- Blockchain Technology Applications and Security 7
- ICT in Developing Communities 2
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- Multilevel Inverters and Converters 2
- Co-authors
- Maad M. Mıjwıl (22 shared papers)Mussa Ally Dida (3 shared papers)Anael Sam (3 shared papers)Ioannis Adamopoulos (9 shared papers)Mostafa Abotaleb (7 shared papers)Pushan Kumar Dutta (3 shared papers)George Mensah (3 shared papers)Malik Sallam (6 shared papers)
In The Last Decade
Guma Ali
35 papers receiving 291 citations
Guma Ali's Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 14
- Information Systems 90
- Energy Engineering and Power Technology 8
- Management Information Systems 22
- Signal Processing 26
Countries citing papers authored by Guma Ali
This map shows the geographic impact of Guma Ali'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 Guma Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guma Ali more than expected).
Fields of papers citing papers by Guma Ali
This network shows the impact of papers produced by Guma Ali. 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 Guma Ali. The network helps show where Guma Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Guma Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 36 | |
| 2 | 2024 | 25 | |
| 3 | Leveraging the Internet of Things, Remote Sensing, and Artificial Intelligence for Sustainable Forest Management Hit paper breakdown → | 2025 | 24 |
| 4 | 2021 | 17 | |
| 5 | 2025 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2025 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 7 | |
| 20 | 2024 | 7 |
About Guma Ali
Guma Ali is a scholar working on Information Systems, Electrical and Electronic Engineering, Computer Networks and Communications, Health Informatics and Plant Science, having authored 46 papers that have together received 310 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (3 papers), Multilevel Inverters and Converters (2 papers), ICT in Developing Communities (2 papers), Air Quality and Health Impacts (2 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Health Informatics (14 citations), Information Systems (90 citations), Energy Engineering and Power Technology (8 citations), Management Information Systems (22 citations) and Signal Processing (26 citations). Guma Ali has collaborated with scholars based in Uganda, Iraq and India. Frequent co-authors include Maad M. Mıjwıl, Mussa Ally Dida, Anael Sam, Ioannis Adamopoulos, Mostafa Abotaleb, Pushan Kumar Dutta, George Mensah, Malik Sallam, Salah K. Elsayed and Indu Bala. Their work appears in journals such as Scientific Reports, Future Internet, IEEE Access, Information and International Journal of Communication Systems.
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.