Jihen Amara
Impact in
- Plant Science top 5%
- Smart Agriculture and AI
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- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
Papers in
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- Explainable Artificial Intelligence (XAI) 2
- Metaheuristic Optimization Algorithms Research 1
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- Handwritten Text Recognition Techniques 2
- Video Analysis and Summarization 1
- Co-authors
- Bassem Bouaziz (3 shared papers)Alsayed Algergawy (1 shared paper)Adel M. Alimi (1 shared paper)Tarek M. Hamdani (1 shared paper)Birgitta König‐Ries (2 shared papers)Sheeba Samuel (2 shared papers)Walid Mahdi (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) (1 paper)Digital Library (University of West Bohemia) (1 paper)International Conference on Intelligent Systems Design and Applications (ISDA) (1 paper)International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) (1 paper)
- Partner nations
- TunisiaSaudi ArabiaGermany
In The Last Decade
Jihen Amara
5 papers receiving 369 citations
Jihen Amara's Hit Papers
Peers
Comparison fields: 5 of 24
- Plant Science 340
- Computer Vision and Pattern Recognition 39
- Industrial and Manufacturing Engineering 8
- Media Technology 6
- Artificial Intelligence 18
Countries citing papers authored by Jihen Amara
This map shows the geographic impact of Jihen Amara'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 Jihen Amara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihen Amara more than expected).
Fields of papers citing papers by Jihen Amara
This network shows the impact of papers produced by Jihen Amara. 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 Jihen Amara. The network helps show where Jihen Amara may publish in the future.
Co-authors
The 7 scholars most cited alongside Jihen Amara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Deep Learning-based Approach for Banana Leaf Diseases Classification Hit paper breakdown → | 2017 | 362 |
| 2 | Convolutional neural network based chart image classification | 2017 | 14 |
| 3 | 2015 | 8 | |
| 4 | 2023 | 5 | |
| 5 | 2017 | 3 | |
| 6 | 2024 | 0 |
About Jihen Amara
Jihen Amara is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 392 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (2 papers), Handwritten Text Recognition Techniques (2 papers), Smart Agriculture and AI (1 paper), Video Analysis and Summarization (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Plant Science (340 citations), Computer Vision and Pattern Recognition (39 citations), Industrial and Manufacturing Engineering (8 citations), Media Technology (6 citations) and Artificial Intelligence (18 citations). Jihen Amara has collaborated with scholars based in Tunisia, Saudi Arabia and Germany. Frequent co-authors include Bassem Bouaziz, Alsayed Algergawy, Adel M. Alimi, Tarek M. Hamdani, Birgitta König‐Ries, Sheeba Samuel and Walid Mahdi. Their work appears in journals such as Lecture notes in computer science, IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), Digital Library (University of West Bohemia), International Conference on Intelligent Systems Design and Applications (ISDA) and International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP).
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.