Saeed Ur Rehman
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Sira YongchareonK.W. SowerbyPeter Han Joo ChongShafiq AlamDan KomosnýGillian DobbieShakir UllahYun Sing Koh
- Topics
- Wireless Signal Modulation Classification (12 papers)IoT and Edge/Fog Computing (6 papers)Full-Duplex Wireless Communications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- New ZealandAustraliaPakistan
In The Last Decade
Saeed Ur Rehman
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Electrical and Electronic Engineering 554
- Artificial Intelligence 454
- Computer Networks and Communications 254
- Computer Vision and Pattern Recognition 247
- Biomedical Engineering 240
Countries citing papers authored by Saeed Ur Rehman
This map shows the geographic impact of Saeed Ur Rehman'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 Saeed Ur Rehman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Ur Rehman more than expected).
Fields of papers citing papers by Saeed Ur Rehman
This network shows the impact of papers produced by Saeed Ur Rehman. 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 Saeed Ur Rehman. The network helps show where Saeed Ur Rehman may publish in the future.
Co-authorship network of co-authors of Saeed Ur Rehman
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Ur Rehman. A scholar is included among the top collaborators of Saeed Ur Rehman 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 Saeed Ur Rehman. Saeed Ur Rehman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 32 | |
| 11 | 8 | |
| 12 | 52 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 94 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 56 |
About Saeed Ur Rehman
Saeed Ur Rehman is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (12 papers), IoT and Edge/Fog Computing (6 papers) and Full-Duplex Wireless Communications (6 papers). The work is most often cited by research in Artificial Intelligence (454 citations), Signal Processing (134 citations) and Computer Vision and Pattern Recognition (247 citations). Saeed Ur Rehman has collaborated with scholars based in New Zealand, Australia and Pakistan. Frequent co-authors include Sira Yongchareon, K.W. Sowerby, Peter Han Joo Chong, Shafiq Alam, Dan Komosný, Gillian Dobbie, Shakir Ullah, Yun Sing Koh, Patricia Riddle and Jian Yu. 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.