Mohammad Shorfuzzaman
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Co-authors
- M. Shamim HossainMehedi MasudAmril NazirAbdulmajeed AlsufyaniMohammed F. AlhamidJeongmin ParkGhulam MuhammadPrayag Tiwari
- Topics
- COVID-19 diagnosis using AI (14 papers)AI in cancer detection (10 papers)Distributed and Parallel Computing Systems (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsComputers in Human Behavior
- Partner nations
- Saudi ArabiaIndiaPakistan
In The Last Decade
Mohammad Shorfuzzaman
100 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 714
- Computer Vision and Pattern Recognition 510
- Radiology, Nuclear Medicine and Imaging 443
- Computer Networks and Communications 351
- Information Systems 346
Countries citing papers authored by Mohammad Shorfuzzaman
This map shows the geographic impact of Mohammad Shorfuzzaman'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 Mohammad Shorfuzzaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shorfuzzaman more than expected).
Fields of papers citing papers by Mohammad Shorfuzzaman
This network shows the impact of papers produced by Mohammad Shorfuzzaman. 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 Mohammad Shorfuzzaman. The network helps show where Mohammad Shorfuzzaman may publish in the future.
Co-authorship network of co-authors of Mohammad Shorfuzzaman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shorfuzzaman. A scholar is included among the top collaborators of Mohammad Shorfuzzaman 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 Mohammad Shorfuzzaman. Mohammad Shorfuzzaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 31 | |
| 11 | 6 | |
| 12 | 71 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 32 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 40 | |
| 20 | 118 |
About Mohammad Shorfuzzaman
Mohammad Shorfuzzaman is a scholar working on Health Informatics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (14 papers), AI in cancer detection (10 papers) and Distributed and Parallel Computing Systems (9 papers). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (127 citations) and Computer Vision and Pattern Recognition (510 citations). Mohammad Shorfuzzaman has collaborated with scholars based in Saudi Arabia, India and Pakistan. Frequent co-authors include M. Shamim Hossain, Mehedi Masud, Amril Nazir, Abdulmajeed Alsufyani, Mohammed F. Alhamid, Jeongmin Park, Ghulam Muhammad, Prayag Tiwari, Kuruva Lakshmanna and Musaed Alhussein. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.
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.