Tanvir Alam
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Bioinformatics 12
- RNA modifications and cancer 10
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- Retinal Imaging and Analysis 12
- COVID-19 diagnosis using AI 11
- Co-authors
- Mowafa Househ (37 shared papers)Zubair Shah (27 shared papers)Rizwan Qureshi (15 shared papers)Hamada R. H. Al-Absi (16 shared papers)Vladimir B. Bajić (8 shared papers)Mohammad Tariqul Islam (19 shared papers)Leonard Lipovich (2 shared papers)Muhammad Arif (11 shared papers)
- Journals
- IEEE Access (9 papers)Scientific Reports (5 papers)Sensors (4 papers)Nucleic Acids Research (3 papers)ACS Omega (2 papers)
- Partner nations
- QatarUnited StatesPakistan
In The Last Decade
Tanvir Alam
102 papers receiving 1.7k citations
Tanvir Alam's Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 184
- Health Information Management 141
- Radiology, Nuclear Medicine and Imaging 436
- Cancer Research 260
- Family Practice 28
Countries citing papers authored by Tanvir Alam
This map shows the geographic impact of Tanvir Alam'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 Tanvir Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanvir Alam more than expected).
Fields of papers citing papers by Tanvir Alam
This network shows the impact of papers produced by Tanvir Alam. 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 Tanvir Alam. The network helps show where Tanvir Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanvir Alam, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI in drug discovery and its clinical relevance Hit paper breakdown → | 2023 | 125 |
| 2 | 2022 | 96 | |
| 3 | Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images Hit paper breakdown → | 2023 | 92 |
| 4 | 2023 | 74 | |
| 5 | 2023 | 73 | |
| 6 | 2018 | 61 | |
| 7 | 2016 | 58 | |
| 8 | 2014 | 57 | |
| 9 | 2023 | 53 | |
| 10 | 2022 | 53 | |
| 11 | 2021 | 52 | |
| 12 | 2015 | 47 | |
| 13 | 2020 | 40 | |
| 14 | 2015 | 40 | |
| 15 | 2021 | 39 | |
| 16 | 2020 | 37 | |
| 17 | 2022 | 35 | |
| 18 | 2021 | 35 | |
| 19 | 2020 | 34 | |
| 20 | 2022 | 31 |
About Tanvir Alam
Tanvir Alam is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Health Information Management, Artificial Intelligence and Cancer Research, having authored 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), Machine Learning in Bioinformatics (12 papers), Retinal Imaging and Analysis (12 papers), COVID-19 diagnosis using AI (11 papers), RNA modifications and cancer (10 papers), Computational Drug Discovery Methods (9 papers), Cancer-related molecular mechanisms research (9 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Health Informatics (184 citations), Health Information Management (141 citations), Radiology, Nuclear Medicine and Imaging (436 citations), Cancer Research (260 citations) and Family Practice (28 citations). Tanvir Alam has collaborated with scholars based in Qatar, United States and Pakistan. Frequent co-authors include Mowafa Househ, Zubair Shah, Rizwan Qureshi, Hamada R. H. Al-Absi, Vladimir B. Bajić, Mohammad Tariqul Islam, Leonard Lipovich, Muhammad Arif, Sebastian Schmeier and Alaa Abd‐Alrazaq. Their work appears in journals such as IEEE Access, Scientific Reports, Sensors, Nucleic Acids Research and ACS Omega.
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.