Aïcha BenTaieb

1.2k total citations
11 papers, 495 citations indexed

About

Aïcha BenTaieb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Aïcha BenTaieb has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Oncology. Recurrent topics in Aïcha BenTaieb's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Aïcha BenTaieb is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (2 papers). Aïcha BenTaieb collaborates with scholars based in Canada, United States and Germany. Aïcha BenTaieb's co-authors include Ghassan Hamarneh, Jeremy Kawahara, Hector Li-Chang, David Huntsman, Aly A. Khan, Yinjie Gao, Ameen A. Salahudeen, Michelle M. Stein, Zahra Mirikharaji and Tim Rand and has published in prestigious journals such as Nature Communications, American Journal Of Pathology and IEEE Transactions on Medical Imaging.

In The Last Decade

Aïcha BenTaieb

11 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aïcha BenTaieb Canada	8	331	198	168	161	65	11	495
John‐Melle Bokhorst Netherlands	13	402 1.2×	192 1.0×	201 1.2×	282 1.8×	33 0.5×	22	617
Nazia Hameed United Kingdom	9	276 0.8×	274 1.4×	79 0.5×	124 0.8×	96 1.5×	28	590
Yushan Zheng China	14	604 1.8×	188 0.9×	420 2.5×	264 1.6×	123 1.9×	46	825
David Tellez Netherlands	7	480 1.5×	95 0.5×	243 1.4×	310 1.9×	34 0.5×	9	592
Mostafa Jahanifar United Kingdom	10	256 0.8×	87 0.4×	109 0.6×	177 1.1×	31 0.5×	20	376
Ozan Ciga Canada	4	387 1.2×	80 0.4×	193 1.1×	250 1.6×	21 0.3×	4	484
Nikolas Stathonikos Netherlands	14	508 1.5×	124 0.6×	163 1.0×	328 2.0×	45 0.7×	32	687
Monjoy Saha India	10	371 1.1×	73 0.4×	172 1.0×	269 1.7×	23 0.4×	18	559
Susanne Melchers Germany	8	290 0.9×	126 0.6×	141 0.8×	199 1.2×	19 0.3×	17	493
Zhaoxuan Ma United States	8	254 0.8×	64 0.3×	84 0.5×	182 1.1×	30 0.5×	9	377

Countries citing papers authored by Aïcha BenTaieb

Since Specialization

Citations

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

Fields of papers citing papers by Aïcha BenTaieb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aïcha BenTaieb

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

All Works

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11 of 11 papers shown

Hong, Sun Hae, Abbas Rizvi, Kunal Nagpal, et al.. (2024). Prediction of MET Overexpression in Lung Adenocarcinoma from Hematoxylin and Eosin Images. American Journal Of Pathology. 194(6). 1020–1032. 3 indexed citations

Hu, Qiyuan, Abbas Rizvi, Aïcha BenTaieb, et al.. (2024). Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images. npj Precision Oncology. 8(1). 88–88. 5 indexed citations

BenTaieb, Aïcha, Ryan Jones, Rohan P. Joshi, et al.. (2022). Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides. Modern Pathology. 35(12). 1791–1803. 7 indexed citations

Lau, Denise, Sonal Khare, Michelle M. Stein, et al.. (2022). Integration of tumor extrinsic and intrinsic features associates with immunotherapy response in non-small cell lung cancer. Nature Communications. 13(1). 4053–4053. 21 indexed citations

BenTaieb, Aïcha, et al.. (2019). Weakly supervised fully convolutional network for PET lesion segmentation. 44. 55–55. 9 indexed citations

BenTaieb, Aïcha, et al.. (2018). Automatic localization of normal active organs in 3D PET scans. Computerized Medical Imaging and Graphics. 70. 111–118. 17 indexed citations

BenTaieb, Aïcha & Ghassan Hamarneh. (2017). Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Transactions on Medical Imaging. 37(3). 792–802. 146 indexed citations

BenTaieb, Aïcha, Hector Li-Chang, David Huntsman, & Ghassan Hamarneh. (2017). A structured latent model for ovarian carcinoma subtyping from histopathology slides. Medical Image Analysis. 39. 194–205. 47 indexed citations

BenTaieb, Aïcha, Masoud S. Nosrati, Hector Li-Chang, David G. Huntsman, & Ghassan Hamarneh. (2016). Clinically-inspired automatic classification of ovarian carcinoma subtypes. Journal of Pathology Informatics. 7(1). 28–28. 11 indexed citations

10.

Kawahara, Jeremy, Aïcha BenTaieb, & Ghassan Hamarneh. (2016). Deep features to classify skin lesions. 1397–1400. 208 indexed citations

11.

BenTaieb, Aïcha, Jeremy Kawahara, & Ghassan Hamarneh. (2016). Multi-loss convolutional networks for gland analysis in microscopy. 642–645. 21 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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