Saad Sirohey
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Media Technology top 2%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Co-authors
- Charles L. WilsonRama ChellappaAzriel RosenfeldPaulo R. S. MendonçaRahul BhotikaJames V. MillerRicardo S. AvilaRebecca Brown
- Topics
- Colorectal Cancer Screening and Detection (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Biometric Identification and Security (2 papers)
- Partner nations
- United StatesSpain
In The Last Decade
Saad Sirohey
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 485
- Media Technology 234
- Human-Computer Interaction 185
- Artificial Intelligence 151
Countries citing papers authored by Saad Sirohey
This map shows the geographic impact of Saad Sirohey'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 Saad Sirohey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Sirohey more than expected).
Fields of papers citing papers by Saad Sirohey
This network shows the impact of papers produced by Saad Sirohey. 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 Saad Sirohey. The network helps show where Saad Sirohey may publish in the future.
Co-authorship network of co-authors of Saad Sirohey
This figure shows the co-authorship network connecting the top 25 collaborators of Saad Sirohey. A scholar is included among the top collaborators of Saad Sirohey 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 Saad Sirohey. Saad Sirohey 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 | Detection of Polyps via Shape and Appearance Modeling | 2 |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 20 | |
| 6 | 83 | |
| 7 | 78 | |
| 8 | Eye detection and tracking | 5 |
| 9 | Human Face Segmentation and Identification | 60 |
| 10 | Human and machine recognition of faces: a surveybreakdown → | 1730 |
About Saad Sirohey
Saad Sirohey is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (485 citations) and Human-Computer Interaction (185 citations). Saad Sirohey has collaborated with scholars based in United States and Spain. Frequent co-authors include Charles L. Wilson, Rama Chellappa, Azriel Rosenfeld, Paulo R. S. Mendonça, Rahul Bhotika, James V. Miller, Ricardo S. Avila, Rebecca Brown, Fei Zhao and Gopal Avinash. Their work appears in journals such as Proceedings of the IEEE, Pattern Recognition and Lecture notes in computer science.
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.