Huned Materwala
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- Artificial Intelligence in Healthcare 7
- Information Systems top 1%
- Blockchain Technology Applications and Security 16
- Cloud Computing and Resource Management 6
- Cloud Data Security Solutions 3
- Health Informatics top 5%
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- IoT and Edge/Fog Computing 17
- Artificial Intelligence top 10%
- Machine Learning in Healthcare 3
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- Vehicular Ad Hoc Networks (VANETs) 5
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- COVID-19 epidemiological studies 2
- Co-authors
- Leila IsmailJuma Al KaabiSherali ZeadallyAchim P. KarduckAbdu AdemMaryam TayefiRajkumar BuyyaPhuong Thao Thi Ngo
- Partner nations
- United Arab EmiratesAustraliaGermany
In The Last Decade
Huned Materwala
32 papers receiving 987 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health Information Management 122
- Information Systems 578
- Health Informatics 31
- Computer Networks and Communications 423
- Artificial Intelligence 165
Countries citing papers authored by Huned Materwala
This map shows the geographic impact of Huned Materwala'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 Huned Materwala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huned Materwala more than expected).
Fields of papers citing papers by Huned Materwala
This network shows the impact of papers produced by Huned Materwala. 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 Huned Materwala. The network helps show where Huned Materwala may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Huned Materwala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 30 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 39 | |
| 9 | 2021 | 2 | |
| 10 | Association of risk factors with type 2 diabetes: A systematic reviewbreakdown → | 2021 | 159 |
| 11 | 2021 | 3 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 61 | |
| 14 | 2020 | 37 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 165 | |
| 17 | 2019 | 145 | |
| 18 | 2019 | 73 | |
| 19 | 2018 | 34 | |
| 20 | 2018 | 13 |
About Huned Materwala
Huned Materwala is a scholar working on Health Information Management, Information Systems and Computer Networks and Communications, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), Blockchain Technology Applications and Security (16 papers), Artificial Intelligence in Healthcare (7 papers), Cloud Computing and Resource Management (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Machine Learning in Healthcare (3 papers), Cloud Data Security Solutions (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Health Information Management (122 citations), Information Systems (578 citations) and Health Informatics (31 citations). Huned Materwala has collaborated with scholars based in United Arab Emirates, Australia and Germany. Frequent co-authors include Leila Ismail, Juma Al Kaabi, Sherali Zeadally, Achim P. Karduck, Abdu Adem, Maryam Tayefi, Rajkumar Buyya, Phuong Thao Thi Ngo, Raed M. Shubair and Moien AB Khan. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.
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.