Basel Solaiman

1.9k total citations
136 papers, 1.0k citations indexed

About

Basel Solaiman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Basel Solaiman has authored 136 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 52 papers in Artificial Intelligence and 31 papers in Media Technology. Recurrent topics in Basel Solaiman's work include Medical Image Segmentation Techniques (28 papers), Remote-Sensing Image Classification (28 papers) and Image Retrieval and Classification Techniques (21 papers). Basel Solaiman is often cited by papers focused on Medical Image Segmentation Techniques (28 papers), Remote-Sensing Image Classification (28 papers) and Image Retrieval and Classification Techniques (21 papers). Basel Solaiman collaborates with scholars based in France, Tunisia and Canada. Basel Solaiman's co-authors include Imed Riadh Farah, Hanène Trichili, Adel M. Alimi, Éloi Bossé, Mohamed Farah, Akrem Sellami, Wael Ouarda, Karim Saheb Ettabaâ, Kamel Hamrouni and Christian Roux and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Basel Solaiman

119 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basel Solaiman France 17 420 294 276 171 142 136 1.0k
Vassilios Chatzis Greece 8 794 1.9× 493 1.7× 248 0.9× 91 0.5× 130 0.9× 29 1.2k
Yuhui Zheng China 20 959 2.3× 469 1.6× 412 1.5× 78 0.5× 125 0.9× 97 1.6k
Zengmao Wang China 15 405 1.0× 357 1.2× 490 1.8× 61 0.4× 140 1.0× 46 1.1k
Liejun Wang China 22 843 2.0× 542 1.8× 443 1.6× 86 0.5× 269 1.9× 172 2.0k
Jingjing Ma China 23 788 1.9× 621 2.1× 570 2.1× 64 0.4× 203 1.4× 65 1.8k
En Fan China 11 236 0.6× 87 0.3× 271 1.0× 70 0.4× 34 0.2× 44 974
Tan Guo China 20 334 0.8× 514 1.7× 279 1.0× 47 0.3× 217 1.5× 63 1.4k
Chuangbai Xiao China 18 410 1.0× 277 0.9× 249 0.9× 38 0.2× 63 0.4× 88 1.1k
Naiyang Guan China 15 772 1.8× 245 0.8× 283 1.0× 215 1.3× 61 0.4× 51 1.2k
Guo Cao China 20 516 1.2× 878 3.0× 310 1.1× 69 0.4× 542 3.8× 76 1.5k

Countries citing papers authored by Basel Solaiman

Since Specialization
Citations

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

Fields of papers citing papers by Basel Solaiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basel Solaiman. 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 Basel Solaiman. The network helps show where Basel Solaiman may publish in the future.

Co-authorship network of co-authors of Basel Solaiman

This figure shows the co-authorship network connecting the top 25 collaborators of Basel Solaiman. A scholar is included among the top collaborators of Basel Solaiman 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 Basel Solaiman. Basel Solaiman 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.
Bossé, Éloi, et al.. (2025). An empirical survey-type analysis of uncertainty measures for the fusion of crisp and fuzzy bodies of evidence. Information Fusion. 121. 103106–103106. 3 indexed citations
2.
3.
Bossé, Éloi, et al.. (2023). Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems. Expert Systems with Applications. 224. 119926–119926. 8 indexed citations
4.
Douik, Ali, et al.. (2022). Optic disc detection and segmentation using saliency mask in retinal fundus images. Computers in Biology and Medicine. 150. 106067–106067. 10 indexed citations
5.
Solaiman, Basel, et al.. (2022). Model Based Anomaly Detection in High Dimensional DATA. 1–6. 1 indexed citations
6.
Conze, Pierre-Henri, et al.. (2022). A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation. Journal of Digital Imaging. 35(6). 1560–1575. 1 indexed citations
7.
Conze, Pierre-Henri, et al.. (2021). A new conditional region growing approach for microcalcification delineation in mammograms. Medical & Biological Engineering & Computing. 59(9). 1795–1814. 3 indexed citations
8.
Guillard, Gwenael, et al.. (2020). Case-Based Reasoning: Problems And Importance Of Similarity Measure. 1–6. 2 indexed citations
9.
Solaiman, Basel, et al.. (2018). Semi-automatic Method for Low-Grade Gliomas Segmentation in Magnetic Resonance Imaging. IRBM. 39(2). 116–128. 7 indexed citations
10.
Solaiman, Basel, et al.. (2018). Implementation and comparison of binary thinning algorithms on GPU. Computing. 101(8). 1091–1117. 3 indexed citations
11.
Hamrouni, Kamel, et al.. (2018). Mammographic mass segmentation using fuzzy contours. Computer Methods and Programs in Biomedicine. 164. 131–142. 18 indexed citations
12.
Sintès, Christophe, et al.. (2017). Performance Prediction of a Dual-Baseline Radar or Sonar Interferometer Based on a Vernier Critical Value Concept. IEEE Journal of Oceanic Engineering. 43(4). 1114–1133. 3 indexed citations
13.
Solaiman, Basel, et al.. (2017). A modified ZS thinning algorithm by a hybrid approach. The Visual Computer. 34(5). 689–706. 18 indexed citations
14.
Ettabaâ, Karim Saheb, et al.. (2016). Ontology Knowledge Mining Based Association Rules Ranking. Procedia Computer Science. 96. 345–354. 11 indexed citations
15.
Bossé, Éloi, et al.. (2014). On the use of holonic agents in the design of information fusion systems. PolyPublie (École Polytechnique de Montréal). 5 indexed citations
16.
Amara, Najoua Essoukri Ben, et al.. (2014). Microcalcifications detection in mammograms based on Ant Colony Optimization and Markov Random Field. 5. 191–196. 4 indexed citations
17.
Ouarda, Wael, Hanène Trichili, Adel M. Alimi, & Basel Solaiman. (2013). Combined local features selection for face recognition based on Naïve Bayesian classification. 240–245. 16 indexed citations
18.
Solaiman, Basel, et al.. (2009). Imperfect pattern recognition using the fuzzy measure theory. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
19.
20.
Solaiman, Basel, et al.. (1998). Toward the border between neural and Markovian paradigms. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 28(2). 146–159. 10 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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