Teg Alam
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
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- Brain Tumor Detection and Classification
Papers in
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- Forecasting Techniques and Applications 6
- Efficiency Analysis Using DEA 3
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- Geometric Analysis and Curvature Flows 4
- Co-authors
- Amjad Ur Rehman (10 shared papers)Tanzila Saba (8 shared papers)Khalid Haseeb (8 shared papers)Ali S. AlArjani (5 shared papers)Faten Sae Alamri (2 shared papers)Muhammad Arief Mujahid (2 shared papers)Gwanggil Jeon (5 shared papers)Suliman Mohamed Fati (1 shared paper)
- Journals
- Sustainability (3 papers)IEEE Access (2 papers)Cognitive Computation (1 paper)Urban Climate (1 paper)Indian Journal of Science and Technology (1 paper)
- Partner nations
- Saudi ArabiaPakistanIndia
In The Last Decade
Teg Alam
28 papers receiving 275 citations
Peers
Comparison fields: 5 of 78
- Health Information Management 25
- Neurology 42
- Health Informatics 4
- Management Science and Operations Research 33
- Computer Networks and Communications 59
Countries citing papers authored by Teg Alam
This map shows the geographic impact of Teg Alam'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 Teg Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teg Alam more than expected).
Fields of papers citing papers by Teg Alam
This network shows the impact of papers produced by Teg Alam. 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 Teg Alam. The network helps show where Teg Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Teg Alam, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 64 | |
| 2 | 2023 | 40 | |
| 3 | 2023 | 32 | |
| 4 | 2021 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Teg Alam
Teg Alam is a scholar working on Management Science and Operations Research, Applied Mathematics, Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 33 papers that have together received 291 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (6 papers), IoT and Edge/Fog Computing (5 papers), Optimization and Mathematical Programming (5 papers), Geometric Analysis and Curvature Flows (4 papers), Energy Load and Power Forecasting (4 papers), Efficiency Analysis Using DEA (3 papers), Internet of Things and AI (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Health Information Management (25 citations), Neurology (42 citations), Health Informatics (4 citations), Management Science and Operations Research (33 citations) and Computer Networks and Communications (59 citations). Teg Alam has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Amjad Ur Rehman, Tanzila Saba, Khalid Haseeb, Ali S. AlArjani, Faten Sae Alamri, Muhammad Arief Mujahid, Gwanggil Jeon, Suliman Mohamed Fati, Wejdan Deebani and Jaime Lloret. Their work appears in journals such as Sustainability, IEEE Access, Cognitive Computation, Urban Climate and Indian Journal of Science and Technology.
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.