Imran Mahmud
Impact in
-
- Technology Adoption and User Behaviour
Papers in
-
- Technology Adoption and User Behaviour 17
-
- Artificial Intelligence in Healthcare 7
- Co-authors
- T. RamayahAhmed Ibrahim AlzahraniOsama AlfarrajNasser AlalwanSherah KurniaRobert F. HevnerZoltán MolnárDaniel J. Stubbs
- Journals
- PLoS ONE (3 papers)Data in Brief (2 papers)IEEE Access (2 papers)Waste Management & Research The Journal for a Sustainable Circular Economy (2 papers)Information Development (2 papers)
- Partner nations
- BangladeshMalaysiaAustralia
In The Last Decade
Imran Mahmud
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 150
- Information Systems and Management 359
- Business and International Management 32
- Management Information Systems 139
- Developmental Neuroscience 60
- Marketing 103
Countries citing papers authored by Imran Mahmud
This map shows the geographic impact of Imran Mahmud'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 Imran Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Mahmud more than expected).
Fields of papers citing papers by Imran Mahmud
This network shows the impact of papers produced by Imran Mahmud. 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 Imran Mahmud. The network helps show where Imran Mahmud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Imran Mahmud, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 24 | |
| 15 | 2022 | 0 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | Application Of K-Means Clustering Algorithm To Determine The Density Of Demand Of Different Kinds Of Jobs | 2020 | 19 |
| 19 | An Analysis On Breast Disease Prediction Using Machine Learning Approaches | 2020 | 23 |
| 20 | Measuring learning motivation of students in supply chain management games setting: a case study of Innov8.0 game | 2015 | 3 |
About Imran Mahmud
Imran Mahmud is a scholar working on Information Systems and Management, Health Information Management, Business and International Management, Management Information Systems and Artificial Intelligence, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (17 papers), Artificial Intelligence in Healthcare (7 papers), Cyberloafing and Workplace Behavior (6 papers), Digital Marketing and Social Media (6 papers), Impact of Technology on Adolescents (5 papers), AI in cancer detection (5 papers), COVID-19 and Mental Health (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Information Systems and Management (359 citations), Business and International Management (32 citations), Management Information Systems (139 citations), Developmental Neuroscience (60 citations) and Marketing (103 citations). Imran Mahmud has collaborated with scholars based in Bangladesh, Malaysia and Australia. Frequent co-authors include T. Ramayah, Ahmed Ibrahim Alzahrani, Osama Alfarraj, Nasser Alalwan, Sherah Kurnia, Robert F. Hevner, Zoltán Molnár, Daniel J. Stubbs, Chris Englund and Brenda Scholtz. Their work appears in journals such as PLoS ONE, Data in Brief, IEEE Access, Waste Management & Research The Journal for a Sustainable Circular Economy and Information Development.
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.