Hamid Laga
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Vision and Imaging 19
- Image Processing and 3D Reconstruction 17
- Image Retrieval and Classification Techniques 15
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- 3D Shape Modeling and Analysis 40
- Co-authors
- Ferdous Sohel (15 shared papers)Mohammed Bennamoun (13 shared papers)Mohd Fairuz Shiratuddin (5 shared papers)Md Zakir Hossain (2 shared papers)Stanley J. Miklavcic (12 shared papers)Xian-Feng Han (1 shared paper)Joshua Chopin (7 shared papers)Hedi Tabia (5 shared papers)
In The Last Decade
Hamid Laga
93 papers receiving 2.3k citations
Hamid Laga's Hit Papers
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 1.3k
- Computer Graphics and Computer-Aided Design 183
- Geology 153
- Computational Mechanics 460
- Analytical Chemistry 144
Countries citing papers authored by Hamid Laga
This map shows the geographic impact of Hamid Laga'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 Hamid Laga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Laga more than expected).
Fields of papers citing papers by Hamid Laga
This network shows the impact of papers produced by Hamid Laga. 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 Hamid Laga. The network helps show where Hamid Laga may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamid Laga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Survey of Deep Learning for Image Captioning Hit paper breakdown → | 2019 | 521 |
| 2 | Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era Hit paper breakdown → | 2019 | 274 |
| 3 | 2018 | 191 | |
| 4 | 2020 | 181 | |
| 5 | 2014 | 84 | |
| 6 | 2013 | 72 | |
| 7 | 2006 | 61 | |
| 8 | 2024 | 49 | |
| 9 | 2015 | 49 | |
| 10 | 2012 | 47 | |
| 11 | 2014 | 43 | |
| 12 | 2013 | 40 | |
| 13 | 2015 | 38 | |
| 14 | 2019 | 32 | |
| 15 | 2023 | 32 | |
| 16 | 2015 | 29 | |
| 17 | 2021 | 27 | |
| 18 | 2022 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2017 | 24 |
About Hamid Laga
Hamid Laga is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Plant Science, Computer Graphics and Computer-Aided Design and Geometry and Topology, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (40 papers), Computer Graphics and Visualization Techniques (20 papers), Advanced Vision and Imaging (19 papers), Image Processing and 3D Reconstruction (17 papers), Smart Agriculture and AI (17 papers), Image Retrieval and Classification Techniques (15 papers), Morphological variations and asymmetry (12 papers) and Leaf Properties and Growth Measurement (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (183 citations), Geology (153 citations), Computational Mechanics (460 citations) and Analytical Chemistry (144 citations). Hamid Laga has collaborated with scholars based in Australia, Japan and France. Frequent co-authors include Ferdous Sohel, Mohammed Bennamoun, Mohd Fairuz Shiratuddin, Md Zakir Hossain, Stanley J. Miklavcic, Xian-Feng Han, Joshua Chopin, Hedi Tabia, Farid Boussaïd and Md. Mehedi Hasan. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Computers and Electronics in Agriculture and Ecological Informatics.
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.