Ahmed Almulihi
- Marketing top 10%
- Strategy and Management top 10%
-
- IoT and Edge/Fog Computing 3
- Advanced Data Storage Technologies 2
-
- Digital Marketing and Social Media 3
-
- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 2
-
- Electromagnetic Scattering and Analysis 2
-
- Blockchain Technology Applications and Security 2
-
- Recycling and Waste Management Techniques 2
- Co-authors
- Abdullah AlghamdiMehrbakhsh NilashiSarminah SamadSaidatulakmal MohdMesfer AlrizqShahla AsadiFahd S. AlharithiMohammad Iranmanesh
- Journals
- Scientific Reports (1 paper)Sensors (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- Saudi ArabiaIndiaMalaysia
In The Last Decade
Ahmed Almulihi
23 papers receiving 525 citations
Peers
Comparison fields: 5 of 107
- Marketing 87
- Health Information Management 38
- Strategy and Management 121
- Business and International Management 9
- Management Information Systems 35
Countries citing papers authored by Ahmed Almulihi
This map shows the geographic impact of Ahmed Almulihi'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 Ahmed Almulihi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Almulihi more than expected).
Fields of papers citing papers by Ahmed Almulihi
This network shows the impact of papers produced by Ahmed Almulihi. 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 Ahmed Almulihi. The network helps show where Ahmed Almulihi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ahmed Almulihi, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 33 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 101 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 52 | |
| 17 | A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers. | 2020 | 2 |
| 18 | 2020 | 0 | |
| 19 | 2018 | 1 | |
| 20 | 2016 | 1 |
About Ahmed Almulihi
Ahmed Almulihi is a scholar working on Health Informatics, Computer Networks and Communications and Artificial Intelligence, having authored 25 papers that have together received 547 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Digital Marketing and Social Media (3 papers), COVID-19 diagnosis using AI (3 papers), Electromagnetic Scattering and Analysis (2 papers), Advanced Data Storage Technologies (2 papers), Blockchain Technology Applications and Security (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Recycling and Waste Management Techniques (2 papers). The work is most often cited by research in Marketing (87 citations), Health Information Management (38 citations) and Strategy and Management (121 citations). Ahmed Almulihi has collaborated with scholars based in Saudi Arabia, India and Malaysia. Frequent co-authors include Abdullah Alghamdi, Mehrbakhsh Nilashi, Sarminah Samad, Saidatulakmal Mohd, Mesfer Alrizq, Shahla Asadi, Fahd S. Alharithi, Mohammad Iranmanesh, Morteza Ghobakhloo and Fawaz Alassery. Their work appears in journals such as Scientific Reports, Sensors and International Journal of Environmental Research and Public Health.
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.