Halima Bensmail

3.0k total citations
85 papers, 2.0k citations indexed

About

Halima Bensmail is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Halima Bensmail has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Halima Bensmail's work include Gene expression and cancer classification (13 papers), Machine Learning in Bioinformatics (12 papers) and Bioinformatics and Genomic Networks (12 papers). Halima Bensmail is often cited by papers focused on Gene expression and cancer classification (13 papers), Machine Learning in Bioinformatics (12 papers) and Bioinformatics and Genomic Networks (12 papers). Halima Bensmail collaborates with scholars based in Qatar, United States and Italy. Halima Bensmail's co-authors include Gilles Celeux, Raghvendra Mall, Jim Jing-Yan Wang, Xin Gao, Samir Brahim Belhaouari, Khalid Kunji, Abdelali Haoudi, Reda Rawi, Adrian E. Raftery and Christian P. Robert and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Halima Bensmail

83 papers receiving 1.9k citations

Peers

Countries citing papers authored by Halima Bensmail

Since Specialization

Citations

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

Fields of papers citing papers by Halima Bensmail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Halima Bensmail

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	B-cell epitope prediction in the age of machine learning: advancements and challenges 2026 ·Journal of Translational Medicine ·(unknown), (unknown), (unknown), Halima Bensmail, Filippo Castiglione, Raghvendra Mall	0
2	A human-in-the-loop approach for visual clustering of overlapping materials science data 2024 ·Digital Discovery ·Satyanarayana Bonakala, Michaël Aupetit, Halima Bensmail, Fedwa El‐Mellouhi	2
3	OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values 2023 ·Bioinformatics ·(unknown), Mohammad Amin Sadeghi, Abdelkader Baggag, (unknown), Halima Bensmail	2
4	The triglyceride glucose-waist-to-height ratio outperforms obesity and other triglyceride-related parameters in detecting prediabetes in normal-weight Qatari adults: A cross-sectional study 2023 ·Frontiers in Public Health ·(unknown), (unknown), Halima Bensmail, Abdelilah Arredouani	13
5	Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset 2021 ·Catalysts ·Heesoo Park, El Tayeb Bentria, Sami Rtimi, Abdelilah Arredouani, Halima Bensmail, Fedwa El‐Mellouhi	8
6	Data-driven enhancement of cubic phase stability in mixed-cation perovskites 2021 ·Machine Learning Science and Technology ·Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito, Fedwa El‐Mellouhi	24
7	Using Unstated Cases to Correct for COVID-19 Pandemic Outbreak and Its Impact on Easing the Intervention for Qatar 2021 ·Biology ·(unknown), Heesoo Park, Fedwa El‐Mellouhi, Mustapha Rachdi, (unknown), Samir Brahim Belhaouari, Abdelilah Arredouani, Halima Bensmail	4
8	Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort 2020 ·Journal of Diabetes Investigation ·Mostafa Abbas, Raghvendra Mall, (unknown), (unknown), Ehsan Ullah, Halima Bensmail, Abdelilah Arredouani	15
9	Machine Learning Accelerated Recovery of the Cubic Structure in Mixed-Cation Perovskite Thin Films 2020 ·Chemistry of Materials ·Adnan Ali, Heesoo Park, Raghvendra Mall, Brahim Aïssa, Stefano Sanvito, Halima Bensmail, Abdelhak Belaidi, Fedwa El‐Mellouhi	50
10	Biomarker discovery in inflammatory bowel diseases using network-based feature selection 2019 ·PLoS ONE ·Mostafa Abbas, (unknown), Thanh Le, Halima Bensmail, Tayo Obafemi-Ajayi, Vasant Honavar, Yasser EL‐Manzalawy	16
11	Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates 2019 ·Scientific Reports ·Reda Rawi, Raghvendra Mall, Chen‐Hsiang Shen, S. Katie Farney, Andrea R. Shiakolas, Jing Zhou, Halima Bensmail, Tae‐Wook Chun, Nicole A. Doria‐Rose, Rebecca M. Lynch, John R. Mascola, Peter D. Kwong, Gwo‐Yu Chuang	30
12	Comparison and assessment of family- and population-based genotype imputation methods in large pedigrees 2018 ·Genome Research ·Ehsan Ullah, Raghvendra Mall, Mostafa Abbas, Khalid Kunji, Alejandro Q. Nato, Halima Bensmail, Ellen M. Wijsman, Mohamad Saad	16
13	Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection 2018 ·Mostafa Abbas, Thanh Le, Halima Bensmail, Vasant Honavar, Yasser EL‐Manzalawy	5
14	Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project 2018 ·Journal of Translational Medicine ·Ehsan Ullah, Raghvendra Mall, Reda Rawi, Naïma Moustaïd‐Moussa, Adeel A. Butt, Halima Bensmail	14
15	COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator 2016 ·BMC Bioinformatics ·Reda Rawi, Raghvendra Mall, Khalid Kunji, (unknown), Michaël Aupetit, Ehsan Ullah, Halima Bensmail	2
16	Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer 2015 ·Journal of Translational Medicine ·Andrea Remo, Ines Simeone, Massimo Pancione, Pietro Parcesepe, Pascal Finetti, Luigi Cerulo, Halima Bensmail, Daniel Birnbaum, Steven Van Laere, Vittorio Colantuoni, Franco Bonetti, François Bertucci, Erminia Manfrin, Michele Ceccarelli	34
17	Feature selection and multi-kernel learning for sparse representation on a manifold 2013 ·Neural Networks ·Jim Jing-Yan Wang, Halima Bensmail, Xin Gao	51
18	Performance of Model Selection Criteria in Bayesian Threshold VAR (TVAR) Models 2008 ·Econometric Reviews ·(unknown), Hamparsum Bozdogan, Halima Bensmail	2
19	Using R Software for Reliability Data Analysis 2008 ·(unknown), Timothy M. Young, Frank M. Guess, Halima Bensmail, Ramón V. León	6
20	A novel approach for clustering proteomics data using Bayesian fast Fourier transform 2005 ·Computer applications in the biosciences ·Halima Bensmail, (unknown), (unknown), (unknown), Abdelali Haoudi	28

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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