Asma Baccouche

510 total citations
7 papers, 340 citations indexed

About

Asma Baccouche is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Asma Baccouche has authored 7 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Asma Baccouche's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Asma Baccouche is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Asma Baccouche collaborates with scholars based in United States and Spain. Asma Baccouche's co-authors include Adel Elmaghraby, Begonya García-Zapirain, Cristián Castillo-Olea, Yufeng Zheng and Daniel Sierra-Sosa and has published in prestigious journals such as Scientific Reports, Computer Methods and Programs in Biomedicine and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Asma Baccouche

7 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asma Baccouche United States	7	216	169	70	49	48	7	340
Cristián Castillo-Olea Spain	8	189 0.9×	174 1.0×	96 1.4×	43 0.9×	56 1.2×	19	371
Oumaima Terrada Morocco	13	211 1.0×	120 0.7×	136 1.9×	25 0.5×	55 1.1×	16	417
Farida Mohsen Qatar	7	125 0.6×	99 0.6×	52 0.7×	24 0.5×	32 0.7×	17	316
Saeed Ali Bahaj Saudi Arabia	10	100 0.5×	107 0.6×	57 0.8×	39 0.8×	83 1.7×	25	307
Yar Muhammad Pakistan	5	107 0.5×	80 0.5×	114 1.6×	17 0.3×	26 0.5×	9	285
Ahsan Bin Tufail Pakistan	9	162 0.8×	132 0.8×	63 0.9×	146 3.0×	84 1.8×	15	378
Adnan N. Qureshi Pakistan	10	154 0.7×	124 0.7×	16 0.2×	59 1.2×	83 1.7×	42	335
Meghavi Rana India	6	107 0.5×	95 0.6×	48 0.7×	46 0.9×	45 0.9×	11	253
Niyaz Ahmad Wani India	6	129 0.6×	116 0.7×	42 0.6×	44 0.9×	28 0.6×	17	270
Saqib Qamar China	10	119 0.6×	86 0.5×	35 0.5×	79 1.6×	160 3.3×	22	382

Countries citing papers authored by Asma Baccouche

Since Specialization

Citations

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

Fields of papers citing papers by Asma Baccouche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asma Baccouche

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

All Works

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7 of 7 papers shown

1.

Baccouche, Asma, Begonya García-Zapirain, Yufeng Zheng, & Adel Elmaghraby. (2022). Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques. Computer Methods and Programs in Biomedicine. 221. 106884–106884. 40 indexed citations

2.

Baccouche, Asma, Begonya García-Zapirain, & Adel Elmaghraby. (2022). An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks. Scientific Reports. 12(1). 12259–12259. 28 indexed citations

3.

Baccouche, Asma, Begonya García-Zapirain, Cristián Castillo-Olea, & Adel Elmaghraby. (2021). Connected-UNets: a deep learning architecture for breast mass segmentation. npj Breast Cancer. 7(1). 151–151. 93 indexed citations

4.

Baccouche, Asma, Begonya García-Zapirain, Cristián Castillo-Olea, & Adel Elmaghraby. (2021). Breast Lesions Detection and Classification via YOLO-Based Fusion Models. Computers, materials & continua/Computers, materials & continua (Print). 69(1). 1407–1425. 45 indexed citations

5.

Baccouche, Asma, Begonya García-Zapirain, Cristián Castillo-Olea, & Adel Elmaghraby. (2020). Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico. Information. 11(4). 207–207. 92 indexed citations

6.

Baccouche, Asma, et al.. (2020). Malicious Text Identification: Deep Learning from Public Comments and Emails. Information. 11(6). 312–312. 29 indexed citations

7.

Baccouche, Asma, Begonya García-Zapirain, & Adel Elmaghraby. (2018). Annotation Technique for Health-Related Tweets Sentiment Analysis. 382–387. 13 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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