Aaqib Saeed
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Co-authors
- Tanır ÖzçelebiJohan J. LukkienZaharah BukhshIrina StipanovićAndries G. DoréeDaniel SmithFlora D. SalimHao Xue
- Topics
- Privacy-Preserving Technologies in Data (7 papers)Internet Traffic Analysis and Secure E-voting (4 papers)Music and Audio Processing (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedical Laboratory TechnologyArtificial Intelligence
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Aaqib Saeed
27 papers receiving 594 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 227
- Artificial Intelligence 217
- Biomedical Engineering 89
- Signal Processing 57
- Electrical and Electronic Engineering 50
Countries citing papers authored by Aaqib Saeed
This map shows the geographic impact of Aaqib Saeed'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 Aaqib Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaqib Saeed more than expected).
Fields of papers citing papers by Aaqib Saeed
This network shows the impact of papers produced by Aaqib Saeed. 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 Aaqib Saeed. The network helps show where Aaqib Saeed may publish in the future.
Co-authorship network of co-authors of Aaqib Saeed
This figure shows the co-authorship network connecting the top 25 collaborators of Aaqib Saeed. A scholar is included among the top collaborators of Aaqib Saeed 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 Aaqib Saeed. Aaqib Saeed 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 15 | |
| 14 | 30 | |
| 15 | 214 | |
| 16 | 2 | |
| 17 | 107 | |
| 18 | 19 | |
| 19 | 16 | |
| 20 | 16 |
About Aaqib Saeed
Aaqib Saeed is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 609 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Medical Laboratory Technology (11 citations) and Artificial Intelligence (217 citations). Aaqib Saeed has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Tanır Özçelebi, Johan J. Lukkien, Zaharah Bukhsh, Irina Stipanović, Andries G. Dorée, Daniel Smith, Flora D. Salim, Hao Xue, Stojan Trajanovski and Jan B. F. van Erp. Their work appears in journals such as Scientific Reports, Sensors and The Leadership Quarterly.
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.