Shadman Sakib
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Social Psychology
- Health Information Management top 10%
- Co-authors
- Khan Md. HasibMohammad Shafiul AlamMd Rafiqul IslamImran RazzakMd. Abu Bakr SiddiqueTonmoy HossainJubayer Al MahmudMd. Saifur Rahman
- Topics
- COVID-19 diagnosis using AI (5 papers)AI in cancer detection (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- IEEE AccessAdvances in Space ResearchWiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Shadman Sakib
24 papers receiving 177 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 84
- Radiology, Nuclear Medicine and Imaging 38
- Computer Vision and Pattern Recognition 27
- Social Psychology 24
- Health Information Management 16
Countries citing papers authored by Shadman Sakib
This map shows the geographic impact of Shadman Sakib'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 Shadman Sakib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shadman Sakib more than expected).
Fields of papers citing papers by Shadman Sakib
This network shows the impact of papers produced by Shadman Sakib. 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 Shadman Sakib. The network helps show where Shadman Sakib may publish in the future.
Co-authorship network of co-authors of Shadman Sakib
This figure shows the co-authorship network connecting the top 25 collaborators of Shadman Sakib. A scholar is included among the top collaborators of Shadman Sakib based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shadman Sakib. Shadman Sakib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 68 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | A Review of Communications Satellite by Focusing on ‘Bangabandhu Satellite-1’, the First GEO Communications Satellite of Bangladesh | 1 |
| 20 | 1 |
About Shadman Sakib
Shadman Sakib is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 186 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), AI in cancer detection (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Health Information Management (16 citations), Health Informatics (4 citations) and Applied Psychology (15 citations). Shadman Sakib has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Khan Md. Hasib, Mohammad Shafiul Alam, Md Rafiqul Islam, Imran Razzak, Md. Abu Bakr Siddique, Tonmoy Hossain, Jubayer Al Mahmud, Md. Saifur Rahman, Syoji Kobashi and Farag Azzedin. Their work appears in journals such as IEEE Access, Advances in Space Research and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.
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.