Hadj Batatia
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Co-authors
- Jean‐Yves TourneretMarcelo PereyraClovis TauberNicolas DobigeonLotfi ChaâriCarlos D’GianoMarco MoraMarcelo Risk
- Topics
- Medical Image Segmentation Techniques (13 papers)Image and Signal Denoising Methods (12 papers)Medical Imaging Techniques and Applications (7 papers)
- Partner nations
- FranceUnited KingdomArgentina
In The Last Decade
Hadj Batatia
45 papers receiving 470 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 169
- Radiology, Nuclear Medicine and Imaging 119
- Artificial Intelligence 104
- Biomedical Engineering 82
- Cognitive Neuroscience 73
Countries citing papers authored by Hadj Batatia
This map shows the geographic impact of Hadj Batatia'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 Hadj Batatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadj Batatia more than expected).
Fields of papers citing papers by Hadj Batatia
This network shows the impact of papers produced by Hadj Batatia. 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 Hadj Batatia. The network helps show where Hadj Batatia may publish in the future.
Co-authorship network of co-authors of Hadj Batatia
This figure shows the co-authorship network connecting the top 25 collaborators of Hadj Batatia. A scholar is included among the top collaborators of Hadj Batatia 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 Hadj Batatia. Hadj Batatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | Error correction and equilibrium investigation in random access MAC protocols for wireless networks | 1 |
| 9 | Sparse Bayesian regularization using Bernoulli-Laplacian priors | 16 |
| 10 | 49 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 50 | |
| 15 | Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model | 2 |
| 16 | A multilevel approach for airport security ressource allocation | 1 |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | An Investigation of Arbitration in Servers for Distributed Multimedia Applications. | 0 |
About Hadj Batatia
Hadj Batatia is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Signal Processing, having authored 54 papers that have together received 500 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Image and Signal Denoising Methods (12 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Biophysics (33 citations) and Media Technology (47 citations). Hadj Batatia has collaborated with scholars based in France, United Kingdom and Argentina. Frequent co-authors include Jean‐Yves Tourneret, Marcelo Pereyra, Clovis Tauber, Nicolas Dobigeon, Lotfi Chaâri, Carlos D’Giano, Marco Mora, Marcelo Risk, Thomas Oberlin and Stephen McLaughlin. Their work appears in journals such as NeuroImage, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.