Majid Zaman
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- Artificial Intelligence in Healthcare 16
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- Online Learning and Analytics 8
- Medical Laboratory Technology top 10%
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 12
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- Data Mining Algorithms and Applications 9
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- Hydrological Forecasting Using AI 6
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- Big Data and Business Intelligence 6
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- Data Quality and Management 6
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- Advanced Database Systems and Queries 4
- Co-authors
- Muheet Ahmed ButtAasia RehmanS. M. K. QuadriAvijit GhoshAdnan HassanH.A. AlrafaiRahul ChakrabartiIqbal Hasan
- Journals
- Journal of Inorganic and Organometallic Polymers and Materials (1 paper)Indian Journal of Science and Technology (1 paper)Solid State Technology (1 paper)
- Partner nations
- IndiaBangladeshUnited States
In The Last Decade
Majid Zaman
63 papers receiving 482 citations
Peers
Comparison fields: 5 of 98
- Health Information Management 125
- Computer Science Applications 94
- Medical Laboratory Technology 17
- Artificial Intelligence 210
- Health Informatics 6
Countries citing papers authored by Majid Zaman
This map shows the geographic impact of Majid Zaman'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 Majid Zaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Zaman more than expected).
Fields of papers citing papers by Majid Zaman
This network shows the impact of papers produced by Majid Zaman. 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 Majid Zaman. The network helps show where Majid Zaman may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Majid Zaman, 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 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 2 | |
| 11 | A Binarization Approach for Predicting Box-Office Success | 2020 | 3 |
| 12 | A Comprehensive Review on Class Imbalance Problem | 2018 | 1 |
| 13 | A Framework for Class Imbalance Problem Using Hybrid Sampling | 2018 | 4 |
| 14 | 2017 | 0 | |
| 15 | 2017 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2017 | 2 | |
| 18 | COGNITIVE RADIO NETWORK: SECURITY ENHANCEMENTS | 2013 | 6 |
| 19 | INTEGRATING MCT WITH RFID: A CASE STUDY | 2013 | 1 |
| 20 | USER DESIRED INFORMATION TRANSLATION | 2012 | 2 |
About Majid Zaman
Majid Zaman is a scholar working on Health Information Management, Medical Laboratory Technology and Computer Science Applications, having authored 71 papers that have together received 509 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (16 papers), Imbalanced Data Classification Techniques (12 papers), Data Mining Algorithms and Applications (9 papers), Online Learning and Analytics (8 papers), Hydrological Forecasting Using AI (6 papers), Big Data and Business Intelligence (6 papers), Data Quality and Management (6 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Health Information Management (125 citations), Computer Science Applications (94 citations) and Medical Laboratory Technology (17 citations). Majid Zaman has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Muheet Ahmed Butt, Aasia Rehman, S. M. K. Quadri, Avijit Ghosh, Adnan Hassan, H.A. Alrafai, Rahul Chakrabarti, Iqbal Hasan, Mohd Hairy Ibrahim and Muhammad Iqbal. Their work appears in journals such as Journal of Inorganic and Organometallic Polymers and Materials, Indian Journal of Science and Technology, Solid State Technology, Physical Chemistry Chemical Physics and Revue d intelligence artificielle.
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.