A. Brahim

756 total citations
16 papers, 498 citations indexed

About

A. Brahim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, A. Brahim has authored 16 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in A. Brahim's work include Medical Image Segmentation Techniques (5 papers), Non-Destructive Testing Techniques (3 papers) and Gene expression and cancer classification (3 papers). A. Brahim is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Non-Destructive Testing Techniques (3 papers) and Gene expression and cancer classification (3 papers). A. Brahim collaborates with scholars based in Spain, France and Algeria. A. Brahim's co-authors include L. Khedher, Javier Ramı́rez, J. M. Górriz, F. Segovia, Hechmi Toumi, Éric Lespessailles, Rachid Jennane, Rabia Riad, Nicolas Farrugia and I. Álvarez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Construction and Building Materials.

In The Last Decade

A. Brahim

12 papers receiving 482 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. Brahim Spain 9 123 105 104 101 93 16 498
L. Khedher Spain 7 123 1.0× 93 0.9× 90 0.9× 85 0.8× 72 0.8× 9 426
Lu Meng China 11 51 0.4× 135 1.3× 84 0.8× 23 0.2× 111 1.2× 43 438
Zhuangzhi Yan China 16 103 0.8× 301 2.9× 133 1.3× 9 0.1× 141 1.5× 87 749
Sudhakar Tummala India 12 125 1.0× 180 1.7× 123 1.2× 31 0.3× 45 0.5× 22 440
Ana I. L. Namburete United Kingdom 15 42 0.3× 216 2.1× 138 1.3× 7 0.1× 92 1.0× 41 717
Cheng‐Kai Lu Malaysia 13 26 0.2× 223 2.1× 128 1.2× 18 0.2× 83 0.9× 64 502
S. Vinitha Sree Singapore 10 68 0.6× 389 3.7× 134 1.3× 10 0.1× 593 6.4× 10 1.3k
Palani Thanaraj Krishnan India 14 141 1.1× 358 3.4× 185 1.8× 7 0.1× 177 1.9× 39 939
Deepthi Rajashekar Canada 14 76 0.6× 126 1.2× 92 0.9× 3 0.0× 134 1.4× 35 636
Maryam Mohebbi Iran 16 70 0.6× 36 0.3× 40 0.4× 9 0.1× 522 5.6× 66 1.2k

Countries citing papers authored by A. Brahim

Since Specialization
Citations

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

Fields of papers citing papers by A. Brahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
1.
Brahim, A., et al.. (2025). Hybrid extreme learning machine for real-time rate of penetration prediction. Journal of Petroleum Exploration and Production Technology. 15(9).
2.
3.
Khatir, Samir, Djilali Boutchicha, A. Brahim, et al.. (2024). Forecasting and characterization of composite pipeline based on experimental modal analysis and YUKI-gradient boosting. Construction and Building Materials. 425. 135625–135625. 10 indexed citations
4.
5.
Brahim, A. & Nicolas Farrugia. (2020). Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging. Artificial Intelligence in Medicine. 106. 101870–101870. 23 indexed citations
6.
Brahim, A., Rachid Jennane, Rabia Riad, et al.. (2019). A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative. Computerized Medical Imaging and Graphics. 73. 11–18. 122 indexed citations
7.
Riad, Rabia, et al.. (2018). Texture analysis using complex wavelet decomposition for knee osteoarthritis detection: Data from the osteoarthritis initiative. Computers & Electrical Engineering. 68. 181–191. 25 indexed citations
8.
9.
Brahim, A., L. Khedher, J. M. Górriz, et al.. (2017). A proposed computer-aided diagnosis system for Parkinson's disease classification using123I-FP-CIT imaging. 1–6. 7 indexed citations
10.
Khedher, L., I. Álvarez, J. M. Górriz, et al.. (2016). Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support. International Journal of Neural Systems. 27(3). 1650050–1650050. 69 indexed citations
11.
Brahim, A., Javier Ramı́rez, J. M. Górriz, L. Khedher, & D. Salas-González. (2015). Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism. PLoS ONE. 10(6). e0130274–e0130274. 16 indexed citations
12.
Brahim, A., J. M. Górriz, Javier Ramı́rez, & L. Khedher. (2015). Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach. Applied Soft Computing. 37. 234–244. 10 indexed citations
13.
Brahim, A., Javier Ramı́rez, J. M. Górriz, & L. Khedher. (2014). Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging. 3617–3621.
14.
Brahim, A., J. M. Górriz, Javier Ramı́rez, & L. Khedher. (2014). Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach. Studies in health technology and informatics. 207. 251–60. 5 indexed citations
15.
Khedher, L., Javier Ramı́rez, J. M. Górriz, & A. Brahim. (2014). Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines. Studies in health technology and informatics. 207. 271–9. 6 indexed citations
16.
Khedher, L., Javier Ramı́rez, J. M. Górriz, A. Brahim, & F. Segovia. (2014). Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images. Neurocomputing. 151. 139–150. 191 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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