Md. Monirul Kabir
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Geophysics top 10%
- Molecular Biology
- Ocean Engineering top 5%
- Co-authors
- Kazuyuki MuraseMd. ShahjahanD. J. VerschuurMd. Monirul IslamKurt J. MarfurtMd. Fahad JubayerMuhammad Shahid IqbalShahjalal Khandaker
- Topics
- Seismic Imaging and Inversion Techniques (8 papers)Neural Networks and Applications (6 papers)Face and Expression Recognition (4 papers)
- Partner nations
- BangladeshNetherlandsJapan
In The Last Decade
Md. Monirul Kabir
28 papers receiving 858 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 445
- Computer Vision and Pattern Recognition 257
- Geophysics 198
- Molecular Biology 111
- Ocean Engineering 108
Countries citing papers authored by Md. Monirul Kabir
This map shows the geographic impact of Md. Monirul Kabir'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 Md. Monirul Kabir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Monirul Kabir more than expected).
Fields of papers citing papers by Md. Monirul Kabir
This network shows the impact of papers produced by Md. Monirul Kabir. 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 Md. Monirul Kabir. The network helps show where Md. Monirul Kabir may publish in the future.
Co-authorship network of co-authors of Md. Monirul Kabir
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Monirul Kabir. A scholar is included among the top collaborators of Md. Monirul Kabir 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 Md. Monirul Kabir. Md. Monirul Kabir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 28 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 188 | |
| 10 | 182 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | Velocity Estimation of the Complex Subsurface using the Common Focus Point Technology | 12 |
| 17 | 4 | |
| 18 | 147 | |
| 19 | 1 | |
| 20 | 3 |
About Md. Monirul Kabir
Md. Monirul Kabir is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Energy Engineering and Power Technology, having authored 33 papers that have together received 920 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (8 papers), Neural Networks and Applications (6 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Geophysics (198 citations), Artificial Intelligence (445 citations) and Computer Vision and Pattern Recognition (257 citations). Md. Monirul Kabir has collaborated with scholars based in Bangladesh, Netherlands and Japan. Frequent co-authors include Kazuyuki Murase, Md. Shahjahan, D. J. Verschuur, Md. Monirul Islam, Kurt J. Marfurt, Md. Fahad Jubayer, Md. Monirul Islam, Muhammad Shahid Iqbal, Shahjalal Khandaker and Md Zakir Hossain. Their work appears in journals such as Expert Systems with Applications, Geophysics and Neurocomputing.
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.