Marwan Mattar

5.1k total citations · 1 hit paper
10 papers, 3.2k citations indexed

About

Marwan Mattar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marwan Mattar has authored 10 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Marwan Mattar's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Face recognition and analysis (2 papers). Marwan Mattar is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers) and Face recognition and analysis (2 papers). Marwan Mattar collaborates with scholars based in United States. Marwan Mattar's 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 and has published in prestigious journals such as Clark Digital Commons (Clark University), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Marwan Mattar

10 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments

2008 2.8k citations Gary B. Huang, Marwan Mattar et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →

Peers

Marwan Mattar

CVPR

SP

AI

CM

MT

Gary B. Huang United States

Chengjun Liu United States

Changxing Ding China

Yandong Wen China

Roberto Brunelli Italy

Thomas Sikora Germany

Jaesik Min United States

Qiuqi Ruan China

William J. Worek United States

Juhan Nam South Korea

Gary B. Huang United States

Marwan Mattar

3.0k ×1.1

CVPR

1.1k ×1.0

SP

471 ×1.1

AI

224 ×1.1

CM

140 ×0.9

MT

Citations per year, relative to Marwan Mattar Marwan Mattar (= 1×) peers Gary B. Huang

Countries citing papers authored by Marwan Mattar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Kolen, John F., et al.. (2018). Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 1 indexed citations

2.

Huang, Gary B., Marwan Mattar, Honglak Lee, & Erik Learned-Miller. (2012). Learning to Align from Scratch. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 25. 764–772. 158 indexed citations

3.

Mattar, Marwan, Allen R. Hanson, & Erik Learned-Miller. (2012). Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics. arXiv (Cornell University). 584–593. 6 indexed citations

4.

Mattar, Marwan, Michael Ross, & Erik Learned-Miller. (2009). Nonparametric curve alignment. 60. 3457–3460. 6 indexed citations

5.

Huang, Gary B., et al.. (2008). Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments. HAL (Le Centre pour la Communication Scientifique Directe). 2777 indexed citations breakdown →

6.

Mattar, Marwan, Allen R. Hanson, & Erik Learned-Miller. (2006). Sign Classification using Local and Meta-Features. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 3. 26–26. 13 indexed citations

7.

Mattar, Marwan, et al.. (2006). Combining Local and Global Image Features for Object Class Recognition. 3. 47–47. 108 indexed citations

8.

Weinman, Jerod, et al.. (2006). Automatic Sign Detection and Recognition in Natural Scenes. 3. 27–27. 23 indexed citations

9.

Mattar, Marwan, Allen R. Hanson, & Erik Learned-Miller. (2005). Sign Classification for the Visually Impaired. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 5(14). 6 indexed citations

10.

Blaschko, Matthew B., Marwan Mattar, Paul E. Utgoff, et al.. (2005). Automatic In Situ Identification of Plankton. Clark Digital Commons (Clark University). 79–86. 58 indexed citations

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.

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