Mhd Saeed Sharif

870 total citations
91 papers, 503 citations indexed

About

Mhd Saeed Sharif is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mhd Saeed Sharif has authored 91 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Mhd Saeed Sharif's work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Image Segmentation Techniques (8 papers). Mhd Saeed Sharif is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Image Segmentation Techniques (8 papers). Mhd Saeed Sharif collaborates with scholars based in United Kingdom, Bahrain and Saudi Arabia. Mhd Saeed Sharif's co-authors include Maysam Abbod, Abbes Amira, Wael Elmedany, Ameer Al-Nemrat, Mamoun Alazab, Arun Brahma, Habib Zaidi, Shadi AlZu’bi, S. Ipson and Rami Qahwaji and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mhd Saeed Sharif

73 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mhd Saeed Sharif United Kingdom 11 149 124 93 77 73 91 503
Biswaranjan Acharya India 12 165 1.1× 104 0.8× 120 1.3× 67 0.9× 64 0.9× 77 590
Saeed Ur Rehman Pakistan 9 99 0.7× 122 1.0× 145 1.6× 97 1.3× 101 1.4× 15 513
Rajit Nair India 10 100 0.7× 97 0.8× 69 0.7× 68 0.9× 56 0.8× 39 372
Ravi Tomar India 12 103 0.7× 81 0.7× 126 1.4× 159 2.1× 136 1.9× 58 550
Ramgopal Kashyap India 19 230 1.5× 108 0.9× 128 1.4× 165 2.1× 136 1.9× 52 987
Jiangang Ma Australia 11 168 1.1× 65 0.5× 55 0.6× 77 1.0× 76 1.0× 29 468
Ömer Deperlioğlu Türkiye 13 117 0.8× 96 0.8× 91 1.0× 23 0.3× 35 0.5× 46 591
Nasmin Jiwani United States 14 100 0.7× 46 0.4× 42 0.5× 89 1.2× 74 1.0× 37 446
Sherin M. Youssef Egypt 12 135 0.9× 96 0.8× 230 2.5× 28 0.4× 40 0.5× 63 610
Muhammad Shafiq China 15 124 0.8× 121 1.0× 90 1.0× 55 0.7× 246 3.4× 35 610

Countries citing papers authored by Mhd Saeed Sharif

Since Specialization
Citations

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

Fields of papers citing papers by Mhd Saeed Sharif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mhd Saeed Sharif. 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 Mhd Saeed Sharif. The network helps show where Mhd Saeed Sharif may publish in the future.

Co-authorship network of co-authors of Mhd Saeed Sharif

This figure shows the co-authorship network connecting the top 25 collaborators of Mhd Saeed Sharif. A scholar is included among the top collaborators of Mhd Saeed Sharif 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 Mhd Saeed Sharif. Mhd Saeed Sharif 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.
Wall, Julie, et al.. (2025). AI Investment Advisory: Examining Robo-Advisor Adoption Using Financial Literacy and Investment Experience Variables. Applied and Computational Engineering. 125(1). 201–207. 1 indexed citations
2.
Sharif, Mhd Saeed, et al.. (2025). Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction. Informatics in Medicine Unlocked. 57. 101664–101664.
3.
Sharif, Mhd Saeed, et al.. (2025). Innovative computation to detect stress in working people based on mode of commute. Journal of Transport & Health. 41. 101979–101979. 1 indexed citations
4.
Sharif, Mhd Saeed, et al.. (2025). Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. International Journal of Computer Theory and Engineering. 17(1). 13–20.
5.
Khalaf, Osamah Ibrahim, et al.. (2024). Analysing an imbalanced stroke prediction dataset using machine learning techniques. Karbala International Journal of Modern Science. 10(2). 5 indexed citations
6.
Sharif, Mhd Saeed, Elvira Bramon, Philipp Ritter, et al.. (2024). Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events. International Journal of Bipolar Disorders. 12(1). 30–30. 3 indexed citations
7.
8.
Elmedany, Wael, et al.. (2024). Solution of IoT Security and Privacy Challenges: A Systematic Literature Review. 145–154. 1 indexed citations
9.
10.
Sharif, Mhd Saeed, et al.. (2023). An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors. Sensors. 23(6). 3274–3274. 11 indexed citations
11.
Elmedany, Wael, et al.. (2023). Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques. 7(4). 199–223. 32 indexed citations
12.
Alfakeeh, Ahmed S., et al.. (2023). Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Applied Computational Intelligence and Soft Computing. 2023. 1–12. 1 indexed citations
13.
Sharif, Mhd Saeed, et al.. (2023). Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities. UEL Research Repository (University of East London). 276–281.
14.
Sharif, Mhd Saeed, et al.. (2022). An Effective Galaxy Classification Using Fractal Analysis and Neural Network. UEL Research Repository (University of East London). 19–24.
15.
Sharif, Mhd Saeed, et al.. (2022). An Intelligent Model to Predict the Impact on Health Due to Commuting to Work on a Regularbasis. SSRN Electronic Journal. 1 indexed citations
16.
Sharif, Mhd Saeed, et al.. (2021). An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English. UEL Research Repository (University of East London). 557–562. 2 indexed citations
17.
Sharif, Mhd Saeed, et al.. (2020). A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry. 12(5). 866–866. 5 indexed citations
18.
Sharif, Mhd Saeed, et al.. (2015). An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122(3). 421–436. 25 indexed citations
19.
Sharif, Mhd Saeed, et al.. (2015). MASSIVE OPEN ONLINE COURSES - PROMOTING ENGAGEMENT THROUGH MEANS OF GAMIFICATION. Theseus (Ammattikorkeakoulujen). 7049–7055. 1 indexed citations
20.
Sharif, Mhd Saeed, Abbes Amira, & Habib Zaidi. (2010). 3D Oncological PET volume analysis using CNN and LVQNN. 1783–1786. 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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2026