Rifat Shahriyar
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Anindya IqbalAbhik BhattacharjeePartha ChakrabortyTahmid HasanAmiangshu BosuM. Sohel RahmanWasi Uddin AhmadYong‐Bin Kang
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Expert finding and Q&A systems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on CyberneticsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Rifat Shahriyar
36 papers receiving 531 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 293
- Information Systems 177
- Computer Networks and Communications 72
- Computer Vision and Pattern Recognition 64
- Signal Processing 62
Countries citing papers authored by Rifat Shahriyar
This map shows the geographic impact of Rifat Shahriyar'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 Rifat Shahriyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rifat Shahriyar more than expected).
Fields of papers citing papers by Rifat Shahriyar
This network shows the impact of papers produced by Rifat Shahriyar. 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 Rifat Shahriyar. The network helps show where Rifat Shahriyar may publish in the future.
Co-authorship network of co-authors of Rifat Shahriyar
This figure shows the co-authorship network connecting the top 25 collaborators of Rifat Shahriyar. A scholar is included among the top collaborators of Rifat Shahriyar 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 Rifat Shahriyar. Rifat Shahriyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 85 | |
| 12 | 19 | |
| 13 | 103 | |
| 14 | 21 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | Finding All Covers of an Indeterminate String in O(n) Time on Average. | 5 |
| 19 | Intelligent Mobile Health Monitoring System (IMHMS) | 34 |
| 20 | 3 |
About Rifat Shahriyar
Rifat Shahriyar is a scholar working on Computer Science Applications, Health Informatics and Hardware and Architecture, having authored 38 papers that have together received 561 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Expert finding and Q&A systems (4 papers). The work is most often cited by research in Artificial Intelligence (293 citations), Information Systems (177 citations) and Signal Processing (62 citations). Rifat Shahriyar has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Anindya Iqbal, Abhik Bhattacharjee, Partha Chakraborty, Tahmid Hasan, Amiangshu Bosu, M. Sohel Rahman, Wasi Uddin Ahmad, Yong‐Bin Kang, Yuan-Fang Li and Md. Saiful Islam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Cybernetics and IEEE Transactions on Knowledge and Data Engineering.
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.