Afef Kacem Echi

586 total citations
36 papers, 311 citations indexed

About

Afef Kacem Echi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Afef Kacem Echi has authored 36 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Afef Kacem Echi's work include Handwritten Text Recognition Techniques (30 papers), Natural Language Processing Techniques (16 papers) and Image Processing and 3D Reconstruction (8 papers). Afef Kacem Echi is often cited by papers focused on Handwritten Text Recognition Techniques (30 papers), Natural Language Processing Techniques (16 papers) and Image Processing and 3D Reconstruction (8 papers). Afef Kacem Echi collaborates with scholars based in France, Tunisia and United Kingdom. Afef Kacem Echi's co-authors include Abdel Belaı̈d, Mohamed Ben Ahmed, Mourad Elloumi, Reza Arbab-Chirani, Chafiaâ Hamitouche and Leila Jemni Ben Ayed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Dentomaxillofacial Radiology and Arabian Journal for Science and Engineering.

In The Last Decade

Afef Kacem Echi

34 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Afef Kacem Echi France 12 232 104 85 40 32 36 311
Ramachandran Chandrasekhar Australia 8 252 1.1× 283 2.7× 43 0.5× 9 0.2× 19 0.6× 25 390
Ghada Hamed Egypt 7 69 0.3× 135 1.3× 13 0.2× 10 0.3× 6 0.2× 9 225
Mohammed Marey Egypt 6 61 0.3× 128 1.2× 12 0.1× 10 0.3× 6 0.2× 7 211
Noel E. O’Connor Ireland 5 207 0.9× 37 0.4× 27 0.3× 4 0.1× 2 0.1× 11 263
Abin Jose Germany 7 113 0.5× 83 0.8× 18 0.2× 3 0.1× 8 0.3× 22 278
Saqib Qamar China 10 160 0.7× 119 1.1× 17 0.2× 2 0.1× 11 0.3× 22 382
Paolo Andreini Italy 10 116 0.5× 76 0.7× 26 0.3× 6 0.1× 22 246
Soroush Baseri Saadi Belgium 6 106 0.5× 85 0.8× 27 0.3× 34 1.1× 11 262
Niranjan Joshi India 10 172 0.7× 48 0.5× 62 0.7× 1 0.0× 10 0.3× 32 286
Lisa Di Jorio Canada 5 133 0.6× 102 1.0× 13 0.2× 12 0.3× 4 0.1× 9 319

Countries citing papers authored by Afef Kacem Echi

Since Specialization
Citations

This map shows the geographic impact of Afef Kacem Echi'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 Afef Kacem Echi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afef Kacem Echi more than expected).

Fields of papers citing papers by Afef Kacem Echi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afef Kacem Echi. 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 Afef Kacem Echi. The network helps show where Afef Kacem Echi may publish in the future.

Co-authorship network of co-authors of Afef Kacem Echi

This figure shows the co-authorship network connecting the top 25 collaborators of Afef Kacem Echi. A scholar is included among the top collaborators of Afef Kacem Echi 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 Afef Kacem Echi. Afef Kacem Echi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Echi, Afef Kacem, et al.. (2024). Deep Learning for Diabetic Retinopathy Early Detection and Severity Grading. 165–170. 1 indexed citations
2.
3.
Echi, Afef Kacem, et al.. (2023). A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images. International Journal of Imaging Systems and Technology. 33(4). 1383–1395. 19 indexed citations
4.
Echi, Afef Kacem, et al.. (2023). Deep Learning Based Localisation and Segmentation of Prostate Cancer from mp-MRI Images. SHILAP Revista de lepidopterología. 22(1). 52–70. 4 indexed citations
5.
Echi, Afef Kacem, et al.. (2022). Attention-based deep learning model for Arabic handwritten text recognition. 31(1/4). 49–73. 2 indexed citations
6.
Echi, Afef Kacem, et al.. (2022). Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction. SHILAP Revista de lepidopterología. 21(1). 121–129. 4 indexed citations
7.
Echi, Afef Kacem, et al.. (2019). Bayesian Versus Convolutional Networks for Arabic Handwriting Recognition. Arabian Journal for Science and Engineering. 44(11). 9301–9319. 16 indexed citations
8.
Echi, Afef Kacem & Abdel Belaı̈d. (2017). Impact of Features and Classifiers Combinations on the Performances of Arabic Recognition Systems. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
9.
Echi, Afef Kacem, et al.. (2016). Word Extraction and Recognition in Arabic Handwritten Text. 12(1). 17–23. 14 indexed citations
10.
Echi, Afef Kacem, et al.. (2016). A texture-based approach for word script and nature identification. Pattern Analysis and Applications. 20(4). 1157–1167. 5 indexed citations
11.
Echi, Afef Kacem, et al.. (2015). 3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods. Dentomaxillofacial Radiology. 44(8). 20150079–20150079. 42 indexed citations
12.
Echi, Afef Kacem, et al.. (2015). Arabic/Latin and Machine-printed/Handwritten Word Discrimination using HOG-based Shape Descriptor. SHILAP Revista de lepidopterología. 14(2). 1–23. 11 indexed citations
13.
Echi, Afef Kacem, et al.. (2015). Co-occurrence Matrix of Oriented Gradients for word script and nature identification. 1. 16–20. 3 indexed citations
14.
Echi, Afef Kacem, et al.. (2014). How to separate between Machine-Printed/Handwritten and Arabic/Latin Words?. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 13(1). 1–17. 17 indexed citations
15.
Echi, Afef Kacem, et al.. (2013). COLLABORATIVE COMBINATION OF NEURON-LINGUISTIC CLASSIFIERS FOR LARGE ARABIC WORD VOCABULARY RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence. 28(1). 1453001–1453001. 2 indexed citations
16.
Echi, Afef Kacem, et al.. (2013). Identification of Machine-Printed and Handwritten Words in Arabic and Latin Scripts. 798–802. 21 indexed citations
17.
Echi, Afef Kacem, et al.. (2013). OCR-independent and segmentation-free word-spotting in handwritten Arabic Archive documents. Zenodo (CERN European Organization for Nuclear Research). 9. 1–6. 2 indexed citations
18.
Echi, Afef Kacem, et al.. (2007). Neural Network for the Recognition of Handwritten Tunisian City Names. Proceedings of the International Conference on Document Analysis and Recognition. 1108–1112. 7 indexed citations
19.
Echi, Afef Kacem, Abdel Belaı̈d, & Mohamed Ben Ahmed. (2002). Embedded formulas extraction. 1. 676–680. 3 indexed citations
20.
Echi, Afef Kacem, Abdel Belaı̈d, & Mohamed Ben Ahmed. (2001). Automatic extraction of printed mathematical formulas using fuzzy logic and propagation of context. International Journal on Document Analysis and Recognition (IJDAR). 4(2). 97–108. 48 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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