Ahmed M. Anter

1.7k total citations
52 papers, 1.1k citations indexed

About

Ahmed M. Anter is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmed M. Anter has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmed M. Anter's work include Brain Tumor Detection and Classification (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Medical Image Segmentation Techniques (7 papers). Ahmed M. Anter is often cited by papers focused on Brain Tumor Detection and Classification (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Medical Image Segmentation Techniques (7 papers). Ahmed M. Anter collaborates with scholars based in Egypt, China and Saudi Arabia. Ahmed M. Anter's co-authors include Aboul Ella Hassenian, Mumtaz Ali, Zhiguo Zhang, Diego Oliva, Mohammed Kayed, Aboul Ella Hassanien, Ahmad Taher Azar, Anuradha Thakare, Mohamed Abd Elaziz and Mohamed Abu ElSoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Expert Systems with Applications.

In The Last Decade

Ahmed M. Anter

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed M. Anter Egypt 18 463 307 245 128 124 52 1.1k
Yuqing Song China 21 358 0.8× 597 1.9× 279 1.1× 73 0.6× 101 0.8× 138 1.3k
Nagwan Abdel Samee Saudi Arabia 20 617 1.3× 348 1.1× 280 1.1× 46 0.4× 232 1.9× 101 1.3k
Kaijian Xia China 19 401 0.9× 399 1.3× 259 1.1× 144 1.1× 165 1.3× 94 1.3k
Hong Cheng China 16 467 1.0× 295 1.0× 135 0.6× 64 0.5× 270 2.2× 60 1.2k
Peishu Wu China 18 442 1.0× 572 1.9× 181 0.7× 73 0.6× 67 0.5× 39 1.4k
Il-Seok Oh South Korea 16 780 1.7× 679 2.2× 129 0.5× 117 0.9× 151 1.2× 61 1.8k
Dazhe Zhao China 22 423 0.9× 463 1.5× 643 2.6× 65 0.5× 155 1.3× 146 1.5k
Modjtaba Rouhani Iran 17 414 0.9× 354 1.2× 110 0.4× 379 3.0× 302 2.4× 59 1.3k
Khosro Rezaee Iran 18 328 0.7× 304 1.0× 158 0.6× 83 0.6× 91 0.7× 70 943
Dhanesh Ramachandram Malaysia 13 397 0.9× 345 1.1× 145 0.6× 48 0.4× 46 0.4× 39 992

Countries citing papers authored by Ahmed M. Anter

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed M. Anter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed M. Anter

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed M. Anter. A scholar is included among the top collaborators of Ahmed M. Anter 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 M. Anter. Ahmed M. Anter 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.
Elaraby, Mohamed, Ahmed A. Ewees, & Ahmed M. Anter. (2023). A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique. Biomedical Signal Processing and Control. 87. 105542–105542. 9 indexed citations
2.
Anter, Ahmed M., Ali Wagdy Mohamed, Min Zhang, & Zhiguo Zhang. (2023). A robust intelligence regression model for monitoring Parkinson’s disease based on speech signals. Future Generation Computer Systems. 147. 316–327. 14 indexed citations
3.
Thakare, Anuradha, et al.. (2023). PSOGSA: A parallel implementation model for data clustering using new hybrid swarm intelligence and improved machine learning technique. Sustainable Computing Informatics and Systems. 41. 100953–100953. 1 indexed citations
4.
Anter, Ahmed M. & Zhiguo Zhang. (2023). RLWOA-SOFL: A New Learning Model-Based Reinforcement Swarm Intelligence and Self-Organizing Deep Fuzzy Rules for fMRI Pain Decoding. IEEE Transactions on Affective Computing. 15(2). 644–656. 6 indexed citations
5.
Thakare, Anuradha, Ahmed M. Anter, & Ajith Abraham. (2023). Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution. Multidimensional Systems and Signal Processing. 34(2). 397–421. 13 indexed citations
6.
Anter, Ahmed M., et al.. (2023). A Review of Methods Employed for Forensic Human Identification. 1–24. 2 indexed citations
7.
Anter, Ahmed M. & Laith Abualigah. (2023). Deep Federated Machine Learning-Based Optimization Methods for Liver Tumor Diagnosis: A Review. Archives of Computational Methods in Engineering. 30(5). 3359–3378. 13 indexed citations
8.
Elmannai, Hela, et al.. (2023). Enhancing Fashion Classification with Vision Transformer (ViT) and Developing Recommendation Fashion Systems Using DINOVA2. Electronics. 12(20). 4263–4263. 8 indexed citations
9.
Anter, Ahmed M., et al.. (2022). QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning. Knowledge-Based Systems. 252. 109323–109323. 17 indexed citations
10.
Anter, Ahmed M., Diego Oliva, Anuradha Thakare, & Zhiguo Zhang. (2021). AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images. Advanced Engineering Informatics. 49. 101317–101317. 40 indexed citations
11.
Hussain, Zakir, Muhammad Shahzad, Mehboob Ali, et al.. (2021). An optimised stability model for the magnetohydrodynamic fluid. Pramana. 95(1). 14 indexed citations
12.
Ewees, Ahmed A., Mohammed A. A. Al‐qaness, Laith Abualigah, et al.. (2021). Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model. Mathematics. 9(18). 2321–2321. 62 indexed citations
13.
Lin, Qianqian, Gan Huang, Linling Li, et al.. (2020). Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses. NeuroImage. 225. 117506–117506. 3 indexed citations
14.
Anter, Ahmed M., et al.. (2020). A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function. Sustainable Computing Informatics and Systems. 30. 100482–100482. 17 indexed citations
15.
Kayed, Mohammed, et al.. (2019). Extending Lifetime of Wireless Sensor Networks by Distributing the Overload on Cluster Heads. 137–143. 1 indexed citations
16.
Yuan, Yueming, Li Zhang, Linling Li, et al.. (2019). Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study. Behavioural Brain Research. 375. 112142–112142. 14 indexed citations
17.
Elazab, Ahmed, Yousry AbdulAzeem, Ahmed M. Anter, et al.. (2018). Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access. 6. 30663–30679. 17 indexed citations
18.
Anter, Ahmed M. & Aboul Ella Hassenian. (2018). CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm. Artificial Intelligence in Medicine. 97. 105–117. 89 indexed citations
19.
Gaber, Tarek, Ahmed M. Anter, Mona Soliman, et al.. (2015). Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm. PubMed. 2015. 4254–4257. 29 indexed citations
20.
Anter, Ahmed M., Ahmad Taher Azar, Aboul Ella Hassanien, Nashwa El-Bendary, & Mohamed Abu ElSoud. (2013). Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques. Federated Conference on Computer Science and Information Systems. 193–198. 31 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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