Ahmed J. Afifi

1.2k total citations · 1 hit paper
26 papers, 777 citations indexed

About

Ahmed J. Afifi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Ahmed J. Afifi has authored 26 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Ophthalmology. Recurrent topics in Ahmed J. Afifi's work include Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (4 papers) and Remote-Sensing Image Classification (4 papers). Ahmed J. Afifi is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Digital Imaging for Blood Diseases (4 papers) and Remote-Sensing Image Classification (4 papers). Ahmed J. Afifi collaborates with scholars based in Germany, Australia and Pakistan. Ahmed J. Afifi's co-authors include Lihong Zheng, Junbin Gao, Toufique Ahmed Soomro, Olaf Hellwich, Shafiullah Soomro, Manoranjan Paul, Ahmed Ali, Ming Yin, Wesam M. Ashour and Mohammad A. U. Khan and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Ahmed J. Afifi

24 papers receiving 725 citations

Hit Papers

Image Segmentation for MR Brain Tumor Detection Using Mac... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed J. Afifi Germany 12 442 416 246 165 124 26 777
João Dallyson Sousa de Almeida Brazil 15 387 0.9× 232 0.6× 248 1.0× 51 0.3× 133 1.1× 84 725
Behdad Dashtbozorg Netherlands 17 1.1k 2.4× 479 1.2× 735 3.0× 31 0.2× 79 0.6× 69 1.3k
Syed S. Naqvi Pakistan 20 626 1.4× 604 1.5× 431 1.8× 123 0.7× 150 1.2× 53 1.1k
Kamil Říha Czechia 14 237 0.5× 328 0.8× 115 0.5× 22 0.1× 119 1.0× 66 665
Yankui Sun China 11 235 0.5× 194 0.5× 149 0.6× 24 0.1× 57 0.5× 45 511
Farshad Tajeripour Iran 13 278 0.6× 417 1.0× 80 0.3× 122 0.7× 151 1.2× 36 810
Sharib Ali United Kingdom 15 500 1.1× 471 1.1× 125 0.5× 56 0.3× 310 2.5× 46 1.0k
Muyi Sun China 13 188 0.4× 229 0.6× 76 0.3× 32 0.2× 107 0.9× 38 556
João Otávio Bandeira Diniz Brazil 15 526 1.2× 267 0.6× 24 0.1× 91 0.6× 325 2.6× 50 839
Márton Szemenyei Hungary 6 275 0.6× 251 0.6× 139 0.6× 41 0.2× 73 0.6× 19 434

Countries citing papers authored by Ahmed J. Afifi

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed J. Afifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed J. Afifi. 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 Ahmed J. Afifi. The network helps show where Ahmed J. Afifi may publish in the future.

Co-authorship network of co-authors of Ahmed J. Afifi

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

All Works

20 of 20 papers shown
1.
Afifi, Ahmed J., et al.. (2024). Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network. Remote Sensing. 16(13). 2336–2336. 5 indexed citations
3.
Gloaguen, Richard, Ahmed J. Afifi, Sandra Lorenz, et al.. (2024). Towards 3D Hyperspectral Imaging. 8573–8576.
4.
Ramadan, Mohamed S., et al.. (2024). Machine learning base models to predict the punching shear capacity of posttensioned UHPC flat slabs. Scientific Reports. 14(1). 3969–3969. 7 indexed citations
5.
Yin, Ming, Toufique Ahmed Soomro, Muhammad Irfan, et al.. (2023). Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image. IEEE Access. 11. 130451–130465. 8 indexed citations
6.
Afifi, Ahmed J., et al.. (2023). Transformer-Based Models for Hyperspectral Point Clouds Segmentation. 30. 1–5. 2 indexed citations
7.
Afifi, Ahmed J., Samuel T. Thiele, Sandra Lorenz, et al.. (2023). Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 11 indexed citations
8.
Ramadan, Mohamed S., et al.. (2023). Punching shear behavior of HSC & UHPC post tensioned flat slabs – An experimental study. Results in Engineering. 17. 100882–100882. 19 indexed citations
9.
Jiang, Yifan, Ahmed J. Afifi, J. Aderhold, et al.. (2023). Multi-sensor data fusion using deep learning for bulky waste image classification. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 9–9. 3 indexed citations
10.
Afifi, Ahmed J., et al.. (2023). Punching Capacity of UHPC Post Tensioned Flat Slabs with and Without Shear Reinforcement: An Experimental Study. Civil Engineering Journal. 9(3). 567–582. 4 indexed citations
11.
Afifi, Ahmed J., Adel R. Moustafa, & Hany Helmy. (2022). Insights on the hydrocarbon possibilities of the offshore Egyptian Red Sea margin. 21(2). 187–204. 1 indexed citations
12.
13.
Soomro, Toufique Ahmed, et al.. (2021). Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artificial Intelligence Review. 55(2). 1409–1439. 70 indexed citations
14.
Afifi, Ahmed J., et al.. (2019). Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation. Expert Systems with Applications. 134. 36–52. 88 indexed citations
15.
Afifi, Ahmed J., et al.. (2018). Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network. Charles Sturt University Research Output (CRO). 177–184. 3 indexed citations
16.
Soomro, Toufique Ahmed, Ahmed J. Afifi, Junbin Gao, et al.. (2017). Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network. 1–8. 42 indexed citations
17.
Afifi, Ahmed J. & Olaf Hellwich. (2016). Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network. 1–7. 8 indexed citations
18.
Afifi, Ahmed J. & Wesam M. Ashour. (2012). Content-Based Image Retrieval Using Invariant Color and Texture Features. 1–6. 29 indexed citations
19.
Afifi, Ahmed J. & Wesam M. Ashour. (2012). Image Retrieval Based on Content Using Color Feature. 2012. 1–11. 35 indexed citations
20.
Afifi, Ahmed J. & Wesam M. Ashour. (2011). Image Retrieval Based on Content Using Color Feature: Color Image Processing and Retrieving. 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.

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