Tarik Alafif

482 total citations
21 papers, 303 citations indexed

About

Tarik Alafif is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tarik Alafif has authored 21 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tarik Alafif's work include Anomaly Detection Techniques and Applications (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Tarik Alafif is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Tarik Alafif collaborates with scholars based in Saudi Arabia, United States and China. Tarik Alafif's co-authors include Ahmed Barnawi, Saleh Bajaba, Reem Alotaibi, Bander Alzahrani, Min Chen, Abdulmajeed F. Alrefaei, Yong Cao, Yousef M. Hawsawi, Muhammed A. Bakhrebah and Xuewen Chen and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Artificial Intelligence.

In The Last Decade

Tarik Alafif

20 papers receiving 286 citations

Peers

Tarik Alafif

RNMI

CVPR

PRM

CNC

Md Mahbubur Rahman Bangladesh

Tej Bahadur Chandra India

Rodolfo M. Pereira Brazil

Yuanda Zhu United States

David Charte Spain

Amani Jamal Saudi Arabia

Juan Luis Suárez Spain

Vasundhara Acharya India

Navid Hoseini Izadi Iran

Md Mahbubur Rahman Bangladesh

Tarik Alafif

183 ×1.2

166 ×1.6

RNMI

108 ×1.2

CVPR

24 ×0.5

PRM

23 ×0.5

CNC

Citations per year, relative to Tarik Alafif Tarik Alafif (= 1×) peers Md Mahbubur Rahman

Countries citing papers authored by Tarik Alafif

Since Specialization

Citations

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

Fields of papers citing papers by Tarik Alafif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarik Alafif

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alshamrani, Mazin, et al.. (2025). From data to insights: a comprehensive analysis of pilgrims stress and fatigue during Hajj using wearable remote sensing systems. Journal of King Saud University - Computer and Information Sciences. 37(5). 1 indexed citations

Alafif, Tarik, et al.. (2024). MV-MFF: Multi-View Multi-Feature Fusion Model for Pneumonia Classification. Diagnostics. 14(14). 1566–1566. 2 indexed citations

Alafif, Tarik, et al.. (2023). DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. Artificial Intelligence. 317. 103863–103863. 15 indexed citations

Alafif, Tarik, Anas A. Hadi, Bander Alzahrani, et al.. (2023). Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds. Electronics. 12(5). 1165–1165. 22 indexed citations

Alafif, Tarik, et al.. (2023). ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification. 1–6. 18 indexed citations

Alafif, Tarik, et al.. (2023). Adaptive Batch Normalization for Training Data with Heterogeneous Features. 1–6. 3 indexed citations

Alrefaei, Abdulmajeed F., et al.. (2022). Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross‐sectional analysis of the Saudi human genome program. Scientific Reports. 12(1). 1405–1405. 27 indexed citations

Alatawi, Yasser, et al.. (2022). Evaluation of participation and performance indicators in a breast cancer screening program in Saudi Arabia. Saudi Medical Journal. 43(11). 1260–1264. 2 indexed citations

Zong, Weiwei, Simeng Zhu, Joon Lee, et al.. (2022). Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization. Scientific Reports. 12(1). 22430–22430. 6 indexed citations

10.

Alafif, Tarik, et al.. (2022). DISCOVID: discovering patterns of COVID-19 infection from recovered patients: a case study in Saudi Arabia. International Journal of Information Technology. 14(6). 2825–2838. 4 indexed citations

11.

Miao, Yiming, et al.. (2022). Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System. IEEE Network. 36(3). 90–96. 10 indexed citations

12.

Alafif, Tarik, et al.. (2021). On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea. ISA Transactions. 124. 191–196. 3 indexed citations

13.

Alafif, Tarik, et al.. (2021). Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions. International Journal of Environmental Research and Public Health. 18(3). 1117–1117. 102 indexed citations

14.

Alafif, Tarik, Bander Alzahrani, Yong Cao, et al.. (2021). Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study. Journal of Ambient Intelligence and Humanized Computing. 13(8). 4077–4088. 40 indexed citations

15.

Ali, Nahed M., et al.. (2021). GEAC: Generating and Evaluating Handwritten Arabic Characters Using Generative Adversarial Networks. 228–233. 4 indexed citations

16.

Alafif, Tarik, et al.. (2021). GEAD: generating and evaluating handwritten Eastern Arabic digits using generative adversarial networks. International Journal of Information Technology. 14(1). 165–173. 3 indexed citations

17.

Alafif, Tarik, et al.. (2020). Normal and Abnormal Heart Rates Recognition Using Transfer Learning. 275–280. 17 indexed citations

18.

Alafif, Tarik, et al.. (2020). Deep Transfer Learning for Nucleus and Micronucleus Recognition. 21–27. 4 indexed citations

19.

Alafif, Tarik, et al.. (2017). On Classifying Facial Races with Partial Occlusions and Pose Variations. 679–684. 6 indexed citations

20.

Alafif, Tarik & Sreela Sasi. (2012). Domain and range identifier module for semantic web search engines. 8–12. 2 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.

Explore authors with similar magnitude of impact