Md. Abdur Rahim
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- M. M. RahmanD. RamasamyA. Taufiq AsyhariMd Zakirul Alam BhuiyanNazmul HossainMd. Shafiul AzamMd. Arafatur RahmanAbu Jafar Md Muzahid
- Topics
- Vehicular Ad Hoc Networks (VANETs) (3 papers)IoT and GPS-based Vehicle Safety Systems (2 papers)Autonomous Vehicle Technology and Safety (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentExpert Systems with Applications
- Partner nations
- MalaysiaUnited KingdomBangladesh
In The Last Decade
Md. Abdur Rahim
12 papers receiving 268 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 81
- Electrical and Electronic Engineering 62
- Computer Networks and Communications 57
- Artificial Intelligence 54
- Control and Systems Engineering 40
Countries citing papers authored by Md. Abdur Rahim
This map shows the geographic impact of Md. Abdur Rahim'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. Abdur Rahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Abdur Rahim more than expected).
Fields of papers citing papers by Md. Abdur Rahim
This network shows the impact of papers produced by Md. Abdur Rahim. 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. Abdur Rahim. The network helps show where Md. Abdur Rahim may publish in the future.
Co-authorship network of co-authors of Md. Abdur Rahim
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Abdur Rahim. A scholar is included among the top collaborators of Md. Abdur Rahim 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. Abdur Rahim. Md. Abdur Rahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | Cloud Computing: Architecture, Services, Deployment Models, Storage, Benefits and Challenges | 2 |
| 11 | 119 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | Face Recognition Using Local Binary Patterns (LBP) | 96 |
About Md. Abdur Rahim
Md. Abdur Rahim is a scholar working on Music, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (3 papers), IoT and GPS-based Vehicle Safety Systems (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (81 citations), Signal Processing (40 citations) and Automotive Engineering (36 citations). Md. Abdur Rahim has collaborated with scholars based in Malaysia, United Kingdom and Bangladesh. Frequent co-authors include M. M. Rahman, D. Ramasamy, A. Taufiq Asyhari, Md Zakirul Alam Bhuiyan, Nazmul Hossain, Md. Shafiul Azam, Md. Arafatur Rahman, Abu Jafar Md Muzahid, Nour Moustafa and Imran Razzak. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment 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.