Marwan Mattar
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Media Technology top 2%
- Co-authors
- Gary B. HuangTamara L. BergErik Learned-MillerHonglak LeeMatthew B. BlaschkoMark C. BenfieldAllen R. HansonPaul E. Utgoff
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (3 papers)Face recognition and analysis (2 papers)
- Journals
- Clark Digital Commons (Clark University)HAL (Le Centre pour la Communication Scientifique Directe)arXiv (Cornell University)
- Partner nations
- United States
In The Last Decade
Marwan Mattar
10 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 2.8k
- Signal Processing 1.0k
- Artificial Intelligence 417
- Computational Mechanics 204
- Media Technology 161
Countries citing papers authored by Marwan Mattar
This map shows the geographic impact of Marwan Mattar'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 Marwan Mattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marwan Mattar more than expected).
Fields of papers citing papers by Marwan Mattar
This network shows the impact of papers produced by Marwan Mattar. 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 Marwan Mattar. The network helps show where Marwan Mattar may publish in the future.
Co-authorship network of co-authors of Marwan Mattar
This figure shows the co-authorship network connecting the top 25 collaborators of Marwan Mattar. A scholar is included among the top collaborators of Marwan Mattar 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 Marwan Mattar. Marwan Mattar 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 | Learning to Align from Scratch | 158 |
| 3 | 6 | |
| 4 | 6 | |
| 5 | Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environmentsbreakdown → | 2777 |
| 6 | 13 | |
| 7 | 108 | |
| 8 | 23 | |
| 9 | Sign Classification for the Visually Impaired | 6 |
| 10 | 58 |
About Marwan Mattar
Marwan Mattar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 10 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Signal Processing (1.0k citations) and Media Technology (161 citations). Marwan Mattar has collaborated with scholars based in United States. Frequent co-authors include Gary B. Huang, Tamara L. Berg, Erik Learned-Miller, Honglak Lee, Matthew B. Blaschko, Mark C. Benfield, Allen R. Hanson, Paul E. Utgoff, Edward M. Riseman and Howard Schultz. Their work appears in journals such as Clark Digital Commons (Clark University), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).
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.