A. S. Tolba

1.2k total citations
58 papers, 709 citations indexed

About

A. S. Tolba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, A. S. Tolba has authored 58 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in A. S. Tolba's work include Face and Expression Recognition (8 papers), Industrial Vision Systems and Defect Detection (8 papers) and Surface Roughness and Optical Measurements (6 papers). A. S. Tolba is often cited by papers focused on Face and Expression Recognition (8 papers), Industrial Vision Systems and Defect Detection (8 papers) and Surface Roughness and Optical Measurements (6 papers). A. S. Tolba collaborates with scholars based in Egypt, Kuwait and Oman. A. S. Tolba's co-authors include A. H. El-Baz, Hazem Raafat, Samir Elmougy, Ehab Essa, Naser El‐Sheimy, M. Shamim Hossain, Ghulam Muhammad, Shahenda Sarhan, Mohamed Elhoseny and Doaa El-Shahat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

A. S. Tolba

55 papers receiving 626 citations

Peers

Countries citing papers authored by A. S. Tolba

Since Specialization

Citations

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

Fields of papers citing papers by A. S. Tolba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Tolba. 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 A. S. Tolba. The network helps show where A. S. Tolba may publish in the future.

Co-authorship network of co-authors of A. S. Tolba

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hybrid Deep Learning Approach for Milk Quality Prediction 2024 ·A. S. Tolba, (unknown), Ali Wagdy Mohamed, Karam M. Sallam	3
2	Brain Tumor Classification using Deep Learning Models under Neutrosophic Environment 2024 ·A. S. Tolba, (unknown)	2
3	Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting 2024 ·Journal Of Big Data ·Doaa El-Shahat, A. S. Tolba, Mohamed Abouhawwash, Mohamed Abdel‐Basset	17
4	An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases 2024 ·A. S. Tolba, (unknown)	1
5	Anatomical inspection of similar articulations in Arabic language using dynamic MRI 2023 ·(unknown), (unknown), (unknown), A. S. Tolba	1
6	Stateful Layered Chain Model to Improve the Scalability of Bitcoin 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), A. S. Tolba, Samir Elmougy	1
7	Intelligent system for human activity recognition in IoT environment 2021 ·Complex & Intelligent Systems ·(unknown), Osama Abu-Elnasr, Samir Elmougy, A. S. Tolba	19
8	A Deep Learning Approach for Brain Computer Interaction-Motor Execution EEG Signal Classification 2021 ·IEEE Access ·(unknown), A. S. Tolba, M. Z. Rashad, (unknown), Shahenda Sarhan	21
9	Multimodal analysis of electroencephalographic and electrooculographic signals 2021 ·Computers in Biology and Medicine ·(unknown), A. S. Tolba, M. Z. Rashad, (unknown), Shahenda Sarhan	5
10	Fog computing for optimized traffic control strategy 2019 ·Journal of Intelligent & Fuzzy Systems ·Zahraa Tarek, (unknown), A. S. Tolba	8
11	Adaptive Deep Learning Vector Quantisation for Multimodal Authentication. 2017 ·J. Inf. Hiding Multim. Signal Process. ·Mahmoud Y. Shams, Shahenda Sarhan, A. S. Tolba	6
12	Robust Boosted Parameter Based Combined Classifier for Rotation Invariant Texture Classification 2016 ·Applied Artificial Intelligence ·A. H. El-Baz, A. S. Tolba, Sankar K. Pal	1
13	Wavelet Packets-Based Blind Watermarking for Medical Image Management 2010 ·The Open Biomedical Engineering Journal ·(unknown), Naser El‐Sheimy, A. S. Tolba, (unknown), (unknown)	44
14	Defect detection in flat surface products using log-Gabor filters 2010 ·International Journal of Hybrid Intelligent Systems ·A. S. Tolba, (unknown), (unknown), A. M. Mutawa, Hassan Abbas Khan	11
15	Decision Fusion for Visual Inspection of Textiles 2010 ·Textile Research Journal ·A. S. Tolba, Hassan Abbas Khan, A. M. Mutawa, (unknown)	9
16	Video Watermarking Scheme Based on Principal Component Analysis and Wavelet Transform 2009 ·A. S. Tolba, (unknown), (unknown)	37
17	An efficient and robust combined clustering technique for mining in large spatial databases 2007 ·(unknown), A. S. Tolba, Mohamed El‐Sharkawy, Omar H. Karam	2
18	Invariant Gender Identification 2001 ·Digital Signal Processing ·A. S. Tolba	5
19	Best Parameters Selection for Wavelet Packet-Based Compression of Magnetic Resonance Images 1999 ·Computers and Biomedical Research ·(unknown), A. S. Tolba, (unknown), (unknown)	12
20	Cellular Automata And Self-Organizing Neural Networks For Invariant Target Recognition 1999 ·International Journal of Modelling and Simulation ·A. S. Tolba, (unknown)	1

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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