Uzair Shah

663 total citations
28 papers, 389 citations indexed

About

Uzair Shah is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Uzair Shah has authored 28 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Uzair Shah's work include Misinformation and Its Impacts (6 papers), Vaccine Coverage and Hesitancy (4 papers) and Fetal and Pediatric Neurological Disorders (4 papers). Uzair Shah is often cited by papers focused on Misinformation and Its Impacts (6 papers), Vaccine Coverage and Hesitancy (4 papers) and Fetal and Pediatric Neurological Disorders (4 papers). Uzair Shah collaborates with scholars based in Qatar, Pakistan and Malaysia. Uzair Shah's co-authors include Mahmood Alzubaidi, Alaa Abd‐Alrazaq, Zubair Shah, Md. Rafiul Biswas, Mowafa Househ, Farida Mohsen, Arfan Ahmed, Marco Agus, Hazrat Ali and Tanvir Alam and has published in prestigious journals such as Sensors, Journal of Medical Internet Research and Future Generation Computer Systems.

In The Last Decade

Uzair Shah

25 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uzair Shah Qatar	10	120	64	64	57	54	28	389
Mahmood Alzubaidi Qatar	15	120 1.0×	153 2.4×	64 1.0×	130 2.3×	67 1.2×	49	696
Md. Rafiul Biswas Qatar	7	129 1.1×	52 0.8×	69 1.1×	33 0.6×	26 0.5×	22	292
Zakariya Sheikh United Kingdom	10	115 1.0×	175 2.7×	52 0.8×	100 1.8×	28 0.5×	15	571
Lauren Ariniello United States	8	21 0.2×	33 0.5×	51 0.8×	76 1.3×	28 0.5×	15	780
Vik Kheterpal United States	8	22 0.2×	40 0.6×	66 1.0×	68 1.2×	14 0.3×	20	520
Edward Ramos United States	6	19 0.2×	44 0.7×	88 1.4×	74 1.3×	17 0.3×	11	495
Philip AbdelMalik Canada	12	26 0.2×	74 1.2×	47 0.7×	11 0.2×	49 0.9×	19	613
Aurélie Fischer Luxembourg	13	54 0.5×	44 0.7×	213 3.3×	28 0.5×	13 0.2×	33	585
Ali Ibnian Jordan	9	33 0.3×	28 0.4×	42 0.7×	65 1.1×	14 0.3×	19	337
Masoud Rouhizadeh United States	11	78 0.7×	121 1.9×	7 0.1×	17 0.3×	63 1.2×	40	433

Countries citing papers authored by Uzair Shah

Since Specialization

Citations

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

Fields of papers citing papers by Uzair Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uzair Shah

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shah, Uzair, et al.. (2025). Invisible eyes: Real-time activity detection through encrypted Wi-Fi traffic without machine learning. Internet of Things. 31. 101602–101602.

Shah, Uzair, Marco Agus, Mahmood Alzubaidi, et al.. (2025). AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education. Computers & Graphics. 129. 104239–104239.

Shah, Uzair, et al.. (2025). ArtInsight: A Multimodal AI Framework for Interpreting Children’s Drawings and Enhancing Emotional Understanding. Studies in health technology and informatics. 327. 808–812. 1 indexed citations

Shah, Uzair, et al.. (2025). Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis. Computers & Graphics. 132. 104391–104391. 1 indexed citations

Pintore, Giovanni, Uzair Shah, Marco Agus, & Enrico Gobbetti. (2025). Nadirfloornet: Reconstructing Multi-Room Floorplans from a Small Set of Registered Panoramic Images. 1976–1985. 1 indexed citations

Shah, Uzair, Md. Rafiul Biswas, Marco Agus, Mowafa Househ, & Wajdi Zaghouani. (2024). MemeMind at ArAIEval Shared Task: Generative Augmentation and Feature Fusion for Multimodal Propaganda Detection in Arabic Memes through Advanced Language and Vision Models. 467–472. 1 indexed citations

Villanueva, Alberto Jaspe, Uzair Shah, Mahmood Alzubaidi, et al.. (2024). Virtual Staging Technologies for the Metaverse. 206–213. 1 indexed citations

Alzubaidi, Mahmood, Uzair Shah, Marco Agus, & Mowafa Househ. (2024). FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery. IEEE Open Journal of Engineering in Medicine and Biology. 5. 281–295. 5 indexed citations

Rahman, Hameedur, et al.. (2024). Digital twin framework for smart greenhouse management using next-gen mobile networks and machine learning. Future Generation Computer Systems. 156. 285–300. 19 indexed citations

10.

Shah, Uzair, Mahmood Alzubaidi, Giovanni Pintore, et al.. (2024). MultiPanoWise: holistic deep architecture for multi-task dense prediction from a single panoramic image. 1311–1321. 3 indexed citations

11.

Alzubaidi, Mahmood, et al.. (2023). Conversion of Pixel to Millimeter in Ultrasound Images: A Methodological Approach and Dataset. 10. 1–6.

12.

Shah, Uzair, et al.. (2022). Vaccine Rollout and Shift in Public Sentiment: Twitter-Based Surveillance Study. Studies in health technology and informatics. 290. 704–708. 2 indexed citations

13.

Alzubaidi, Mahmood, Marco Agus, Khaled Al-Thelaya, et al.. (2022). Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images. iScience. 25(8). 104713–104713. 20 indexed citations

14.

Ali, Hazrat, et al.. (2022). The role of generative adversarial networks in brain MRI: a scoping review. Insights into Imaging. 13(1). 98–98. 50 indexed citations

15.

Ali, Hazrat, et al.. (2022). Correction: The role of generative adversarial networks in brain MRI: a scoping review. Insights into Imaging. 13(1). 125–125. 2 indexed citations

16.

Shah, Uzair, Alaa Abd‐Alrazaq, Jens Schneider, Mowafa Househ, & Zubair Shah. (2022). Twitters’ Concerns and Opinions About the COVID-19 Booster Shots: Infoveillance Study. Journal of Consumer Health on the Internet. 26(4). 337–356. 2 indexed citations

17.

Abd‐Alrazaq, Alaa, Asma Hassan, Israa Abuelezz, et al.. (2021). Overview of Technologies Implemented During the First Wave of the COVID-19 Pandemic: Scoping Review. Journal of Medical Internet Research. 23(9). e29136–e29136. 17 indexed citations

18.

Ahmed, Arfan, Sarah Aziz, Mohamed Khalifa, et al.. (2021). Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach. JMIR Formative Research. 6(3). e27654–e27654. 14 indexed citations

19.

Biswas, Md. Rafiul, Mahmood Alzubaidi, Uzair Shah, Alaa Abd‐Alrazaq, & Zubair Shah. (2021). A Scoping Review to Find Out Worldwide COVID-19 Vaccine Hesitancy and Its Underlying Determinants. Vaccines. 9(11). 1243–1243. 131 indexed citations

20.

Shah, Uzair, et al.. (2020). An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach. Studies in health technology and informatics. 272. 457–460. 22 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.

Explore authors with similar magnitude of impact