Madeena Sultana
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Plant Science
- Artificial Intelligence
- Co-authors
- Marina L. GavrilovaPadma Polash PaulJoon LeeAbdul MominC. IgathinathaneTony E. GriftSvetlana YanushkevichMohammad Noaeen
- Topics
- Biometric Identification and Security (11 papers)Authorship Attribution and Profiling (8 papers)Face recognition and analysis (6 papers)
- Journals
- IEEE Transactions on Systems Man and Cybernetics SystemsArtificial Intelligence ReviewComputers & Security
- Partner nations
- CanadaBangladeshUnited Kingdom
In The Last Decade
Madeena Sultana
31 papers receiving 359 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 101
- Information Systems 100
- Signal Processing 92
- Plant Science 72
- Artificial Intelligence 68
Countries citing papers authored by Madeena Sultana
This map shows the geographic impact of Madeena Sultana'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 Madeena Sultana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madeena Sultana more than expected).
Fields of papers citing papers by Madeena Sultana
This network shows the impact of papers produced by Madeena Sultana. 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 Madeena Sultana. The network helps show where Madeena Sultana may publish in the future.
Co-authorship network of co-authors of Madeena Sultana
This figure shows the co-authorship network connecting the top 25 collaborators of Madeena Sultana. A scholar is included among the top collaborators of Madeena Sultana 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 Madeena Sultana. Madeena Sultana 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 | 43 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | 38 | |
| 10 | Identifying Users from Online Interactions in Twitter. | 1 |
| 11 | 9 | |
| 12 | 29 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 31 | |
| 20 | 5 |
About Madeena Sultana
Madeena Sultana is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 33 papers that have together received 376 indexed citations. Recurring topics across this work include Biometric Identification and Security (11 papers), Authorship Attribution and Profiling (8 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Signal Processing (92 citations), Applied Psychology (28 citations) and Computer Vision and Pattern Recognition (101 citations). Madeena Sultana has collaborated with scholars based in Canada, Bangladesh and United Kingdom. Frequent co-authors include Marina L. Gavrilova, Padma Polash Paul, Joon Lee, Abdul Momin, C. Igathinathane, Tony E. Grift, Svetlana Yanushkevich, Mohammad Noaeen, Filipe R. Lucini and Adrienne Kline. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Artificial Intelligence Review and Computers & Security.
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.