Maha Sallam
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Pulmonary and Respiratory Medicine
- Topics
- AI in cancer detection (3 papers)Computational Geometry and Mesh Generation (2 papers)Advanced Vision and Imaging (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionPattern Recognition Letters
- Partner nations
- United States
In The Last Decade
Maha Sallam
8 papers receiving 83 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 39
- Radiology, Nuclear Medicine and Imaging 20
- Aerospace Engineering 18
- Pulmonary and Respiratory Medicine 8
Countries citing papers authored by Maha Sallam
This map shows the geographic impact of Maha Sallam'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 Maha Sallam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Sallam more than expected).
Fields of papers citing papers by Maha Sallam
This network shows the impact of papers produced by Maha Sallam. 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 Maha Sallam. The network helps show where Maha Sallam may publish in the future.
Co-authorship network of co-authors of Maha Sallam
This figure shows the co-authorship network connecting the top 25 collaborators of Maha Sallam. A scholar is included among the top collaborators of Maha Sallam 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 Maha Sallam. Maha Sallam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 33 | |
| 6 | 1 | |
| 7 | Image unwarping and difference analysis: a technique for detecting abnormalities in mammograms | 5 |
| 8 | 20 | |
| 9 | 6 |
About Maha Sallam
Maha Sallam is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 9 papers that have together received 90 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Computational Geometry and Mesh Generation (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (63 citations), Computer Graphics and Computer-Aided Design (7 citations) and Artificial Intelligence (39 citations). Maha Sallam has collaborated with scholars based in United States. Frequent co-authors include Kevin W. Bowyer, Dmitry B. Goldgof, Daniel Eggert, K. Woods, Sanjay Kumar and D. Goldgof. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.
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.