Mohammed Nasir Uddin
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 5%
- Co-authors
- Rajib Kumar HalderLinta IslamMd. Ashraf UddinSunil AryalAnsam KhraisatNiaz ChowdhuryMd. Alamin TalukderUzzal Kumar Acharjee
- Topics
- Internet Traffic Analysis and Secure E-voting (12 papers)Blockchain Technology Applications and Security (9 papers)Network Security and Intrusion Detection (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of VirologyIEEE Access
- Partner nations
- BangladeshAustraliaUnited States
In The Last Decade
Mohammed Nasir Uddin
54 papers receiving 483 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 228
- Information Systems 156
- Computer Networks and Communications 107
- Computer Vision and Pattern Recognition 60
- Health Information Management 54
Countries citing papers authored by Mohammed Nasir Uddin
This map shows the geographic impact of Mohammed Nasir Uddin'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 Mohammed Nasir Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Nasir Uddin more than expected).
Fields of papers citing papers by Mohammed Nasir Uddin
This network shows the impact of papers produced by Mohammed Nasir Uddin. 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 Mohammed Nasir Uddin. The network helps show where Mohammed Nasir Uddin may publish in the future.
Co-authorship network of co-authors of Mohammed Nasir Uddin
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Nasir Uddin. A scholar is included among the top collaborators of Mohammed Nasir Uddin 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 Mohammed Nasir Uddin. Mohammed Nasir Uddin 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modificationsbreakdown → | 104 |
| 6 | 15 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 34 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 5 |
About Mohammed Nasir Uddin
Mohammed Nasir Uddin is a scholar working on Health Information Management, Artificial Intelligence and Information Systems, having authored 60 papers that have together received 507 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (12 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Health Information Management (54 citations), Artificial Intelligence (228 citations) and Information Systems (156 citations). Mohammed Nasir Uddin has collaborated with scholars based in Bangladesh, Australia and United States. Frequent co-authors include Rajib Kumar Halder, Linta Islam, Md. Ashraf Uddin, Sunil Aryal, Ansam Khraisat, Niaz Chowdhury, Md. Alamin Talukder, Uzzal Kumar Acharjee, Sabbir Ahmed and Hideaki Iizuka. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Virology 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.