Saeed Ali Bahaj
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Amjad RehmanTanzila SabaHoshang KolivandTariq SadadMuhammad KashifSuliman Mohamed FatiShahzad AkbarRobertas Damaševičius
- Topics
- AI in cancer detection (10 papers)IoT and Edge/Fog Computing (8 papers)Retinal Imaging and Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanUnited Kingdom
In The Last Decade
Saeed Ali Bahaj
51 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Networks and Communications 510
- Artificial Intelligence 486
- Signal Processing 263
- Radiology, Nuclear Medicine and Imaging 185
- Computer Vision and Pattern Recognition 169
Countries citing papers authored by Saeed Ali Bahaj
This map shows the geographic impact of Saeed Ali Bahaj'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 Ali Bahaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Ali Bahaj more than expected).
Fields of papers citing papers by Saeed Ali Bahaj
This network shows the impact of papers produced by Saeed Ali Bahaj. 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 Ali Bahaj. The network helps show where Saeed Ali Bahaj may publish in the future.
Co-authorship network of co-authors of Saeed Ali Bahaj
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Ali Bahaj. A scholar is included among the top collaborators of Saeed Ali Bahaj 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 Ali Bahaj. Saeed Ali Bahaj 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 | 1 | |
| 3 | 22 | |
| 4 | 0 | |
| 5 | 49 | |
| 6 | 17 | |
| 7 | 10 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 13 | |
| 14 | 80 | |
| 15 | 6 | |
| 16 | 38 | |
| 17 | Performace Evaluation of TCP Cubic , Compound TCP and NewReno under Windows 20H1 , via 802.11n Link to LTE Core Network | 1 |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 7 |
About Saeed Ali Bahaj
Saeed Ali Bahaj is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Signal Processing (263 citations), Computer Networks and Communications (510 citations) and Artificial Intelligence (486 citations). Saeed Ali Bahaj has collaborated with scholars based in Saudi Arabia, Pakistan and United Kingdom. Frequent co-authors include Amjad Rehman, Tanzila Saba, Hoshang Kolivand, Tariq Sadad, Muhammad Kashif, Suliman Mohamed Fati, Shahzad Akbar, Robertas Damaševičius, Mazhar Javed Awan and Khalid Haseeb. 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.