A. Bensaid

2.0k total citations
28 papers, 1.5k citations indexed

About

A. Bensaid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, A. Bensaid has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in A. Bensaid's work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers) and Data Management and Algorithms (7 papers). A. Bensaid is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers) and Data Management and Algorithms (7 papers). A. Bensaid collaborates with scholars based in United States, Morocco and Spain. A. Bensaid's co-authors include Lawrence Hall, James C. Bezdek, Laurence P. Clarke, Robert P. Velthuizen, Martin Silbiger, M.L. Silbiger, Tajjeeddine Rachidi, J A Arrington, Reed Murtagh and Surasak Phuphanich and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Fuzzy Systems and Journal of Magnetic Resonance Imaging.

In The Last Decade

A. Bensaid

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Bensaid United States 12 766 734 187 183 167 28 1.5k
Mohammad Ali Balafar Iran 20 648 0.8× 792 1.1× 244 1.3× 149 0.8× 153 0.9× 90 1.6k
Shengwei Tian China 22 646 0.8× 728 1.0× 126 0.7× 268 1.5× 240 1.4× 137 2.0k
Long Yu China 20 603 0.8× 554 0.8× 110 0.6× 150 0.8× 234 1.4× 153 1.7k
Zhongshi He China 21 432 0.6× 466 0.6× 133 0.7× 47 0.3× 148 0.9× 96 1.3k
Agma J. M. Traina Brazil 23 936 1.2× 1.2k 1.7× 74 0.4× 376 2.1× 173 1.0× 264 2.5k
Houtao Deng United States 10 634 0.8× 428 0.6× 166 0.9× 64 0.3× 272 1.6× 15 1.7k
Francesco Masulli Italy 18 786 1.0× 491 0.7× 34 0.2× 129 0.7× 53 0.3× 113 1.5k
Diyar Qader Zeebaree Iraq 14 646 0.8× 360 0.5× 125 0.7× 100 0.5× 308 1.8× 25 1.3k
Sihang Zhou China 34 1.9k 2.5× 1.8k 2.4× 90 0.5× 278 1.5× 213 1.3× 99 3.2k
Zengchang Qin China 20 735 1.0× 850 1.2× 43 0.2× 84 0.5× 264 1.6× 77 1.6k

Countries citing papers authored by A. Bensaid

Since Specialization
Citations

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

Fields of papers citing papers by A. Bensaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Bensaid

This figure shows the co-authorship network connecting the top 25 collaborators of A. Bensaid. A scholar is included among the top collaborators of A. Bensaid 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 A. Bensaid. A. Bensaid 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.
Bensaid, A., Lawrence Hall, Laurence P. Clarke, & Robert P. Velthuizen. (2005). Mri Segmentation Using Supervised And Unsupervised Methods. 60–61. 3 indexed citations
2.
Bensaid, A., et al.. (2004). Automatic Arabic document categorization based on the Naïve Bayes algorithm. 51–51. 159 indexed citations
3.
Bensaid, A., et al.. (2003). Text categorization using the semi-supervised fuzzy c-means algorithm. 561–565. 20 indexed citations
4.
Bensaid, A., et al.. (2002). Classification of ECG patterns using fuzzy rules derived from ID3-induced decision trees. 34–38. 6 indexed citations
5.
Bensaid, A., et al.. (2002). Improved semi-supervised point-prototype clustering algorithms. 2. 1383–1387. 4 indexed citations
6.
Bezdek, James C., et al.. (2002). Genetic algorithm guided clustering. 34–39. 62 indexed citations
7.
Bensaid, A., et al.. (2002). Time series prediction using crisp and fuzzy neural networks: a comparative study. 170–173. 10 indexed citations
8.
Benbrahim, Houda & A. Bensaid. (2002). A comparative study of pruned decision trees and fuzzy decision trees. 227–231. 7 indexed citations
9.
Bensaid, A., et al.. (2000). Data mining for text categorization with semi-supervised agglomerative hierarchical clustering. International Journal of Intelligent Systems. 15(7). 633–646. 11 indexed citations
10.
Bensaid, A., et al.. (1999). Adaptive Programming: Application to a Semi Supervised Point Prototype Clustering Algorithm.. Parallel and Distributed Processing Techniques and Applications. 2753–2759. 4 indexed citations
11.
Bensaid, A., et al.. (1998). Semi-supervised hierarchical clustering algorithms. 554. 232–239. 8 indexed citations
12.
Bensaid, A., Lawrence Hall, James C. Bezdek, & Laurence P. Clarke. (1996). Partially supervised clustering for image segmentation. Pattern Recognition. 29(5). 859–871. 187 indexed citations
13.
Bensaid, A., Lawrence Hall, James C. Bezdek, et al.. (1996). Validity-guided (re)clustering with applications to image segmentation. IEEE Transactions on Fuzzy Systems. 4(2). 112–123. 327 indexed citations
14.
Vaidyanathan, Mohan, Laurence P. Clarke, Robert P. Velthuizen, et al.. (1995). Comparison of supervised MRI segmentation methods for tumor volume determination during therapy. Magnetic Resonance Imaging. 13(5). 719–728. 85 indexed citations
15.
Bensaid, A.. (1995). Improved fuzzy clustering for pattern recognition with applications to image segmentation. 6 indexed citations
16.
Velthuizen, Robert P., Laurence P. Clarke, Surasak Phuphanich, et al.. (1995). Unsupervised Measurement of Brain Tumor Volume on MR Images. Journal of Magnetic Resonance Imaging. 5(5). 594–605. 71 indexed citations
17.
Velthuizen, Robert P., Lawrence Hall, Laurence P. Clarke, et al.. (1993). <title>Unsupervised fuzzy segmentation of 3D magnetic resonance brain images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1905. 627–635. 8 indexed citations
18.
Hall, Lawrence, A. Bensaid, Laurence P. Clarke, et al.. (1992). A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Transactions on Neural Networks. 3(5). 672–682. 438 indexed citations
19.
Bensaid, A., James C. Bezdek, Lawrence Hall, Robert P. Velthuizen, & Laurence P. Clarke. (1992). <title>Partially supervised fuzzy c-means algorithm for segmentation of MR images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1710. 522–528. 12 indexed citations
20.
Clarke, Laurence P., Robert P. Velthuizen, Lawrence Hall, et al.. (1992). <title>Comparison of supervised pattern recognition techniques and unsupervised methods for MRI segmentation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1652. 668–677. 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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