Mohamed Shehata

4.1k total citations · 1 hit paper
105 papers, 2.0k citations indexed

About

Mohamed Shehata is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mohamed Shehata has authored 105 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 24 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Mohamed Shehata's work include Video Surveillance and Tracking Methods (22 papers), Fire Detection and Safety Systems (9 papers) and Visual Attention and Saliency Detection (8 papers). Mohamed Shehata is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Fire Detection and Safety Systems (9 papers) and Visual Attention and Saliency Detection (8 papers). Mohamed Shehata collaborates with scholars based in Canada, Egypt and United Arab Emirates. Mohamed Shehata's co-authors include Wael Badawy, Shan Du, Mahmoud Ibrahim, Mohamed H. Ahmed, Abderrazak Abdaoui, Ahmed Badawy, Tarek Elfouly, Ali M.A. Attia, Mohamed H. Abdelpakey and M. Tariq Iqbal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Mohamed Shehata

91 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic License Plate Recognition (ALPR): A State-of-the-Art Review

2012 516 citations Shan Du, Mahmoud Ibrahim et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers

Countries citing papers authored by Mohamed Shehata

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Shehata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Shehata

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Shehata. A scholar is included among the top collaborators of Mohamed Shehata 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 Mohamed Shehata. Mohamed Shehata 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	Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification 2025 ·Computers in Biology and Medicine ·Md. Rayhan Ahmed, Mohamed Shehata, (unknown)	0
2	Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders 2024 ·Journal of Imaging ·(unknown), (unknown), (unknown), Mohamed Shehata	2
3	Creating UML Class Diagrams with General-Purpose LLMs 2024 ·Mohamed Shehata, (unknown), (unknown), (unknown)	0
4	Oil spills characterization and modeling using remote sensing and geophysical techniques to protect the highly vulnerable coastal zones in Alexandria, Egypt 2024 ·Marine Pollution Bulletin ·Mohamed Attwa, Sameh B. El‐Kafrawy, Mohammed El Bastawesy, (unknown), Abotalib Z. Abotalib, (unknown), Mohamed Shehata	3
5	Enhancing LLM Conversational Acuity Using Pragmatic Measures 2024 ·(unknown), (unknown), (unknown), Mohamed Shehata, (unknown), (unknown), Shikha Mehta, (unknown)	1
6	Endoscopic management of low output recurrent colonic fistula or leak after anterior resection for rectal cancer: a randomized controlled trial 2023 ·Surgical Endoscopy ·(unknown), (unknown), (unknown), (unknown), Mohamed Shehata, (unknown), Mohamed A. Saleh, (unknown)	3
7	Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification 2023 ·IEEE Transactions on Image Processing ·(unknown), (unknown), Mohamed Shehata	12
8	Robust design and analysis for opto-mechanical two array laser warning system 2022 ·Defence Technology ·(unknown), Mohamed Shehata, Mohamed Mabrouk, (unknown), (unknown), (unknown)	3
9	Automated human cell classification in sparse datasets using few-shot learning 2022 ·Scientific Reports ·(unknown), Mohamed H. Abdelpakey, Mohamed Shehata, (unknown)	16
10	Development of a Methodological Framework for Measuring Energy Performance of Urban Patterns in New Egyptian Communities (Toward Achieving Sustainable Urban Regeneration) 2022 ·Civil Engineering and Architecture ·(unknown), Mohamed Shehata, (unknown)	1
11	Estimation and tracking of AP-diameter of the inferior vena cava in ultrasound images using a novel active circle algorithm 2018 ·Computers in Biology and Medicine ·Ebrahim Karami, Mohamed Shehata, Andrew Smith	6
12	Self-gripping versus sutured mesh fixation methods for open inguinal hernia repair: A systematic review of clinical trials and observational studies 2017 ·Surgery ·Ammar Ismail, Abdelrahman Ibrahim Abushouk, Ahmed Elmaraezy, (unknown), Mohamed Shehata, (unknown), Hussien Ahmed, Ahmed Negida	14
13	Black Ice detection system using Kinect 2017 ·(unknown), M. Tariq Iqbal, Mohamed Shehata	3
14	Combustion Characteristics of Jojoba Methyl Ester as an Alternative Fuel for Gas Turbine 2014 ·Ali M.A. Attia, Radwan M. El-Zoheiry, Hesham M. El-Batsh, Mohamed Shehata	6
15	Automatic License Plate Recognition (ALPR): A State-of-the-Art Review breakdown → 2012 ·IEEE Transactions on Circuits and Systems for Video Technology ·Shan Du, Mahmoud Ibrahim, Mohamed Shehata, Wael Badawy	516
16	Using semi-formal methods for detecting interactions among smart homes policies 2007 ·Science of Computer Programming ·Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo	23
17	A newly developed tool for intra-tracheal temperature and humidity assessment in laryngectomized individuals: the Airway Climate Explorer (ACE) 2007 ·Medical & Biological Engineering & Computing ·(unknown), S.H. Muller, Frans H. de Jongh, (unknown), Mohamed Shehata, J. van Leeuwen, M. Sinaasappel, Frans J. M. Hilgers	15
18	IRIS-TS: DETECTING INTERACTIONS BETWEEN REQUIREMENTS IN DOORS 2006 ·Americanae (AECID Library) ·Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo	1
19	The use of semi-formal methods for detecting requirements interactions. 2004 ·Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo	4
20	Detecting requirements interactions: a three-level framework 2004 ·Mohamed Shehata, Armin Eberlein	2

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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