Md Faisal Kabir
- Electrical and Electronic Engineering
- Artificial Intelligence
- Molecular Biology
- Electrochemistry top 10%
- Bioengineering top 10%
- Co-authors
- Simone A. LudwigMd Tawabur RahmanQiquan QiaoAshim GurungAravind BarideRajesh PathakNabin GhimireKhan Mamun Reza
- Topics
- Nematode management and characterization studies (6 papers)Artificial Intelligence in Healthcare (4 papers)Imbalanced Data Classification Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- United StatesBangladeshSouth Korea
In The Last Decade
Md Faisal Kabir
35 papers receiving 339 citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 84
- Artificial Intelligence 77
- Molecular Biology 58
- Electrochemistry 57
- Bioengineering 51
Countries citing papers authored by Md Faisal Kabir
This map shows the geographic impact of Md Faisal 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 Faisal 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 Faisal Kabir more than expected).
Fields of papers citing papers by Md Faisal Kabir
This network shows the impact of papers produced by Md Faisal 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 Faisal Kabir. The network helps show where Md Faisal Kabir may publish in the future.
Co-authorship network of co-authors of Md Faisal Kabir
This figure shows the co-authorship network connecting the top 25 collaborators of Md Faisal Kabir. A scholar is included among the top collaborators of Md Faisal 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 Faisal Kabir. Md Faisal 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 70 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | Comparative antimicrobial activities of different species of Ixora | 5 |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 2 |
About Md Faisal Kabir
Md Faisal Kabir is a scholar working on Health Information Management, Bioengineering and Artificial Intelligence, having authored 42 papers that have together received 350 indexed citations. Recurring topics across this work include Nematode management and characterization studies (6 papers), Artificial Intelligence in Healthcare (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Electrochemistry (57 citations), Bioengineering (51 citations) and Health Information Management (31 citations). Md Faisal Kabir has collaborated with scholars based in United States, Bangladesh and South Korea. Frequent co-authors include Simone A. Ludwig, Md Tawabur Rahman, Qiquan Qiao, Ashim Gurung, Aravind Baride, Rajesh Pathak, Nabin Ghimire, Khan Mamun Reza, Mahesh Kumar and Zhenqiang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.