Othman Mohd
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
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- Artificial Intelligence in Healthcare
Papers in
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- IoT and Edge/Fog Computing 5
- Co-authors
- Mohd Khanapi Abd Ghani (4 shared papers)Mazin Abed Mohammed (4 shared papers)Ammar Awad Mutlag (4 shared papers)N. Arunkumar (1 shared paper)Karrar Hameed Abdulkareem (3 shared papers)Isabel de la Torre Díez (1 shared paper)Salama A. Mostafa (1 shared paper)Mashael Maashi (1 shared paper)
In The Last Decade
Othman Mohd
24 papers receiving 694 citations
Othman Mohd's Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 498
- Health Information Management 60
- Information Systems 268
- Health Informatics 10
- Computer Vision and Pattern Recognition 158
Countries citing papers authored by Othman Mohd
This map shows the geographic impact of Othman Mohd'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 Othman Mohd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Othman Mohd more than expected).
Fields of papers citing papers by Othman Mohd
This network shows the impact of papers produced by Othman Mohd. 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 Othman Mohd. The network helps show where Othman Mohd may publish in the future.
Co-authors
The 22 scholars most cited alongside Othman Mohd, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enabling technologies for fog computing in healthcare IoT systems Hit paper breakdown → | 2018 | 449 |
| 2 | 2020 | 88 | |
| 3 | 2021 | 44 | |
| 4 | 2017 | 21 | |
| 5 | 2023 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2012 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Othman Mohd
Othman Mohd is a scholar working on Computer Networks and Communications, Information Systems, Media Technology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 732 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Remote-Sensing Image Classification (4 papers), Context-Aware Activity Recognition Systems (3 papers), Remote Sensing and Land Use (3 papers), IoT Networks and Protocols (3 papers), Remote Sensing in Agriculture (3 papers), Advanced Malware Detection Techniques (3 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (498 citations), Health Information Management (60 citations), Information Systems (268 citations), Health Informatics (10 citations) and Computer Vision and Pattern Recognition (158 citations). Othman Mohd has collaborated with scholars based in Malaysia, Indonesia and Iraq. Frequent co-authors include Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, Ammar Awad Mutlag, N. Arunkumar, Karrar Hameed Abdulkareem, Isabel de la Torre Díez, Salama A. Mostafa, Mashael Maashi, Gonçalo Marques and Nanna Suryana. Their work appears in journals such as Sensors, Future Generation Computer Systems, Applied Sciences, Physical Communication and International Journal of Interactive Mobile Technologies (iJIM).
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.