Md. Saiful Islam
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Media Technology top 5%
- Co-authors
- Md. Ruhul AminArup DattaMohammad Ruhul AminSudipta KarMd. Ashiqul IslamMd. Ashraful IslamMd. Moshiur RahmanMuhammad Sheikh Sadi
- Topics
- Topic Modeling (12 papers)Advanced Text Analysis Techniques (12 papers)Spam and Phishing Detection (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- BangladeshUnited StatesCanada
In The Last Decade
Md. Saiful Islam
64 papers receiving 676 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 449
- Computer Vision and Pattern Recognition 212
- Information Systems 99
- Signal Processing 77
- Media Technology 67
Countries citing papers authored by Md. Saiful Islam
This map shows the geographic impact of Md. Saiful Islam'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. Saiful Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Saiful Islam more than expected).
Fields of papers citing papers by Md. Saiful Islam
This network shows the impact of papers produced by Md. Saiful Islam. 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. Saiful Islam. The network helps show where Md. Saiful Islam may publish in the future.
Co-authorship network of co-authors of Md. Saiful Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Saiful Islam. A scholar is included among the top collaborators of Md. Saiful Islam 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. Saiful Islam. Md. Saiful Islam 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | BanFakeNews: A Dataset for Detecting Fake News in Bangla | 3 |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 94 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 24 |
About Md. Saiful Islam
Md. Saiful Islam is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 722 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (12 papers) and Spam and Phishing Detection (11 papers). The work is most often cited by research in Artificial Intelligence (449 citations), Computer Vision and Pattern Recognition (212 citations) and Media Technology (67 citations). Md. Saiful Islam has collaborated with scholars based in Bangladesh, United States and Canada. Frequent co-authors include Md. Ruhul Amin, Arup Datta, Mohammad Ruhul Amin, Sudipta Kar, Md. Ashiqul Islam, Md. Ashraful Islam, Md. Moshiur Rahman, Muhammad Sheikh Sadi, Tareq Alhmiedat and Mohammad Mohiuddin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.