Shamima Akter
- Artificial Intelligence top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Health Information Management top 1%
- Co-authors
- Bernd L. FiebichRavi Shankar AkundiAsif KarimSami AzamF. M. Javed Mehedi ShamratSovon ChakrabortyMd. Ashiqul IslamMd. Sagar Hossen
- Topics
- Artificial Intelligence in Healthcare (6 papers)Machine Learning in Healthcare (4 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaExpert Systems with Applications
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Shamima Akter
35 papers receiving 873 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 231
- Molecular Biology 189
- Radiology, Nuclear Medicine and Imaging 148
- Neurology 137
- Health Information Management 127
Countries citing papers authored by Shamima Akter
This map shows the geographic impact of Shamima Akter'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 Shamima Akter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shamima Akter more than expected).
Fields of papers citing papers by Shamima Akter
This network shows the impact of papers produced by Shamima Akter. 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 Shamima Akter. The network helps show where Shamima Akter may publish in the future.
Co-authorship network of co-authors of Shamima Akter
This figure shows the co-authorship network connecting the top 25 collaborators of Shamima Akter. A scholar is included among the top collaborators of Shamima Akter 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 Shamima Akter. Shamima Akter 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 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 30 | |
| 9 | 10 | |
| 10 | 109 | |
| 11 | 19 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 95 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 22 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 102 |
About Shamima Akter
Shamima Akter is a scholar working on Health Information Management, Health Informatics and Physiology, having authored 43 papers that have together received 909 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Machine Learning in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Information Management (127 citations), Virology (86 citations) and Neurology (137 citations). Shamima Akter has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Bernd L. Fiebich, Ravi Shankar Akundi, Asif Karim, Sami Azam, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Ashiqul Islam, Md. Sagar Hossen, Muhammad Torequl Islam and Ishaq Khan. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Expert Systems with Applications.
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.