B. Solaiman

544 total citations
45 papers, 273 citations indexed

About

B. Solaiman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, B. Solaiman has authored 45 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in B. Solaiman's work include Medical Image Segmentation Techniques (7 papers), Remote-Sensing Image Classification (7 papers) and Neural Networks and Applications (6 papers). B. Solaiman is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Remote-Sensing Image Classification (7 papers) and Neural Networks and Applications (6 papers). B. Solaiman collaborates with scholars based in France, Tunisia and Venezuela. B. Solaiman's co-authors include F.T. Ulaby, L.E. Pierce, Hanène Trichili, J.-M. Cauvin, Alain Glavieux, Imed Riadh Farah, C. Roux, Grégoire Mercier, C. Roux and Mihai Florea and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, The Journal of the Acoustical Society of America and IEEE Journal on Selected Areas in Communications.

In The Last Decade

B. Solaiman

38 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Solaiman France 8 95 66 63 47 35 45 273
Chengpo Mu China 9 118 1.2× 49 0.7× 57 0.9× 57 1.2× 36 1.0× 22 299
Vladislav Myasnikov Russia 9 96 1.0× 82 1.2× 47 0.7× 16 0.3× 36 1.0× 85 365
Ahmed Hagag Egypt 11 149 1.6× 74 1.1× 75 1.2× 57 1.2× 27 0.8× 29 346
Daniel Kostrzewa Poland 11 151 1.6× 98 1.5× 80 1.3× 51 1.1× 20 0.6× 42 317
Paras Jain India 11 207 2.2× 125 1.9× 44 0.7× 24 0.5× 35 1.0× 52 440
Xi’an Feng China 9 72 0.8× 59 0.9× 97 1.5× 36 0.8× 6 0.2× 37 346
Manoj Kumar Singh India 11 87 0.9× 132 2.0× 98 1.6× 11 0.2× 28 0.8× 39 395
Vincent Hwang United States 10 165 1.7× 56 0.8× 123 2.0× 18 0.4× 34 1.0× 21 358
Zhixiang Chen China 11 273 2.9× 53 0.8× 48 0.8× 15 0.3× 17 0.5× 46 411
Xie Wei-xin China 11 90 0.9× 60 0.9× 126 2.0× 17 0.4× 10 0.3× 49 298

Countries citing papers authored by B. Solaiman

Since Specialization
Citations

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

Fields of papers citing papers by B. Solaiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Solaiman

This figure shows the co-authorship network connecting the top 25 collaborators of B. Solaiman. A scholar is included among the top collaborators of B. 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 B. Solaiman. B. 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.
Farah, Imed Riadh, et al.. (2022). Stroke Treatment Prediction Using Features Selection Methods and Machine Learning Classifiers. IRBM. 43(6). 678–686. 14 indexed citations
2.
Sintès, Christophe, et al.. (2011). Focusing Problems of a Buried Point Scatterer using a Low Frequency SAR. IEEE Transactions on Aerospace and Electronic Systems. 47(1). 438–453. 6 indexed citations
3.
Boulila, Wadii, Imed Riadh Farah, B. Solaiman, & Henda Ben Ghézala. (2011). Interesting spatiotemporal rules discovery: application to remotely sensed image databases. VINE. 41(2). 167–191. 3 indexed citations
4.
Farah, Imed Riadh, et al.. (2011). A New Method to Change Illumination Effect Reduction Based on Spectral Angle Constraint for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Letters. 8(6). 1110–1114. 10 indexed citations
5.
Puentes, John, et al.. (2009). Computer-Assisted Venous Thrombosis Volume Quantification. IEEE Transactions on Information Technology in Biomedicine. 13(2). 174–183. 2 indexed citations
6.
Caillec, Jean‐Marc Le, et al.. (2007). Focusing problems of subsurface imaging by a low-frequency SAR. 4101–4104. 2 indexed citations
7.
Bressollette, Luc, et al.. (2005). Volume Calculation of Venous Thrombosis Using 2D Ultrasound Images. PubMed. 53. 4002–4005. 2 indexed citations
8.
Cauvin, J.-M., et al.. (2003). Computer-assisted diagnosis system in digestive endoscopy. IEEE Transactions on Information Technology in Biomedicine. 7(4). 256–262. 13 indexed citations
9.
Solaiman, B., et al.. (2003). The data fusion approach to the priority assignment in the multifunction radar. 2. 647–650. 4 indexed citations
10.
Solaiman, B., et al.. (2002). A comparative study of conventional and neural network classification of multispectral data. 3. 1413–1415. 7 indexed citations
11.
Solaiman, B., et al.. (2002). Contextual dynamic neural networks learning in multispectral images classification. 1. 523–525. 1 indexed citations
12.
Solaiman, B., et al.. (2002). LANDSAT-TM image classification using principal components analysis and neural networks. 3. 1927–1929. 2 indexed citations
13.
Solaiman, B., et al.. (2002). <title>Data fusion approach to threat assessment for radar resources management</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4731. 196–203. 5 indexed citations
14.
15.
Burdin, Valérie, et al.. (2002). Segmentation, reconstruction, modeling and 3D visualization of the ventricles in echocardiographics images. 17. 260–264. 2 indexed citations
16.
Solaiman, B., et al.. (2002). Neural networks modelling of biochemical reactions. 5. 3348–3351. 1 indexed citations
17.
Solaiman, B., Laurent Lecornu, & Christian Roux. (2000). <title>Edge detection through information fusion using fuzzy and evidential reasoning concepts</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4051. 267–278. 1 indexed citations
18.
Solaiman, B., et al.. (1999). Information fusion, application to data and model fusion for ultrasound image segmentation. IEEE Transactions on Biomedical Engineering. 46(10). 1171–1175. 32 indexed citations
19.
Solaiman, B., et al.. (1989). Equal gain diversity improvement in fast frequency hopping spread spectrum multiple-access (FFH-SSMA) communications over Rayleigh fading channels. IEEE Journal on Selected Areas in Communications. 7(1). 140–147. 6 indexed citations
20.
Solaiman, B., et al.. (1988). Trying to understand the reasons for 'cot death'. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1805–1806 vol.4.

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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