Mohammad Shabbir Alam
- Information Systems top 10%
- Computer Networks and Communications
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Shadab AlamMohammed ShuaibMohammad NasirKamal UpretiNishant KumarSurbhi BhatiaShakila BasheerShamimul Qamar
- Topics
- Blockchain Technology Applications and Security (6 papers)IoT and Edge/Fog Computing (5 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaOptikElectronics
- Partner nations
- Saudi ArabiaIndiaMalaysia
In The Last Decade
Mohammad Shabbir Alam
21 papers receiving 174 citations
Peers
Comparison fields: 5 of 65
- Information Systems 90
- Computer Networks and Communications 57
- Artificial Intelligence 43
- Electrical and Electronic Engineering 23
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Mohammad Shabbir Alam
This map shows the geographic impact of Mohammad Shabbir 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 Mohammad Shabbir Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shabbir Alam more than expected).
Fields of papers citing papers by Mohammad Shabbir Alam
This network shows the impact of papers produced by Mohammad Shabbir 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 Mohammad Shabbir Alam. The network helps show where Mohammad Shabbir Alam may publish in the future.
Co-authorship network of co-authors of Mohammad Shabbir Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shabbir Alam. A scholar is included among the top collaborators of Mohammad Shabbir Alam 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 Shabbir Alam. Mohammad Shabbir Alam 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 34 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 15 | |
| 19 | 8 | |
| 20 | Cancer of Uterine Cervix and Pten Tumor Suppressor Gene | 2 |
About Mohammad Shabbir Alam
Mohammad Shabbir Alam is a scholar working on General Energy, Health Informatics and Business and International Management, having authored 31 papers that have together received 187 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), IoT and Edge/Fog Computing (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Information Systems (90 citations), Computer Networks and Communications (57 citations) and Health Informatics (2 citations). Mohammad Shabbir Alam has collaborated with scholars based in Saudi Arabia, India and Malaysia. Frequent co-authors include Shadab Alam, Mohammed Shuaib, Mohammad Nasir, Kamal Upreti, Nishant Kumar, Surbhi Bhatia, Shakila Basheer, Shamimul Qamar, Rafeeq Ahmed and Arvind Kumar Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Optik and Electronics.
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.