Mostafa Mahmoud

751 total citations
28 papers, 393 citations indexed

About

Mostafa Mahmoud is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mostafa Mahmoud has authored 28 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Mostafa Mahmoud's work include Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Mostafa Mahmoud is often cited by papers focused on Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Mostafa Mahmoud collaborates with scholars based in Canada, Egypt and United States. Mostafa Mahmoud's co-authors include Andreas Moshovos, Kevin Siu, Alberto Delmás Lascorz, Sayeh Sharify, Zissis Poulos, Wu Chen, Yaxin Li, Patrick Judd, Yang Yang and Abdollah Homaifar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automation in Construction and Journal of Building Engineering.

In The Last Decade

Mostafa Mahmoud

26 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mostafa Mahmoud Canada 10 194 150 132 58 56 28 393
Shulin Zeng China 10 165 0.9× 189 1.3× 134 1.0× 52 0.9× 77 1.4× 37 406
Rohin Daruwala India 9 113 0.6× 130 0.9× 36 0.3× 98 1.7× 33 0.6× 60 385
Seong‐heum Kim South Korea 8 137 0.7× 37 0.2× 90 0.7× 41 0.7× 9 0.2× 18 323
Haojun Ai China 11 133 0.7× 97 0.6× 54 0.4× 39 0.7× 15 0.3× 45 319
Jiashen Cao United States 9 173 0.9× 94 0.6× 127 1.0× 163 2.8× 56 1.0× 18 357
Yibin Hou China 11 100 0.5× 94 0.6× 67 0.5× 154 2.7× 12 0.2× 72 358
Vivek Menon India 8 69 0.4× 263 1.8× 42 0.3× 32 0.6× 13 0.2× 31 381
Vincenzo Carletti Italy 10 261 1.3× 27 0.2× 172 1.3× 33 0.6× 9 0.2× 22 392
Kimmo Roimela Finland 8 350 1.8× 41 0.3× 26 0.2× 30 0.5× 14 0.3× 13 417

Countries citing papers authored by Mostafa Mahmoud

Since Specialization
Citations

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

Fields of papers citing papers by Mostafa Mahmoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mostafa Mahmoud

This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa Mahmoud. A scholar is included among the top collaborators of Mostafa Mahmoud 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 Mostafa Mahmoud. Mostafa Mahmoud 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.
Mahmoud, Mostafa, et al.. (2025). Automated material-aware BIM generation using deep learning for comprehensive indoor element reconstruction. Automation in Construction. 175. 106196–106196. 2 indexed citations
2.
Mahmoud, Mostafa, et al.. (2025). Automated Scan-to-BIM: A deep learning-based framework for indoor environments with complex furniture elements. Journal of Building Engineering. 106. 112596–112596. 5 indexed citations
3.
Chen, Wu, et al.. (2025). Enhancing VINS with Smart Feature Grading: Overcoming Cautious and Excessive Removal of Dynamic Features for Robust Urban Localization. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLVIII-G-2025. 47–54.
4.
Mahmoud, Mostafa, Wu Chen, Yang Yang, & Yaxin Li. (2024). Automated BIM generation for large-scale indoor complex environments based on deep learning. Automation in Construction. 162. 105376–105376. 34 indexed citations
5.
Mahmoud, Mostafa, et al.. (2024). Leveraging Deep Learning for Automated Reconstruction of Indoor Unstructured Elements in Scan-to-BIM. SHILAP Revista de lepidopterología. XLVIII-1-2024. 479–486. 3 indexed citations
6.
Mahmoud, Mostafa, et al.. (2024). Sudden Fall Detection and Prediction Using AI Techniques. 308–312. 2 indexed citations
7.
Mahmoud, Mostafa, et al.. (2022). Land Vehicle Navigation Using Low-Cost Integrated Smartphone GNSS Mems and Map Matching Technique. Artificial Satellites. 57(3). 138–157. 3 indexed citations
8.
Sharify, Sayeh, Miloš Nikolić, Mostafa Mahmoud, et al.. (2021). Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. 3. 1–20. 3 indexed citations
9.
Homaifar, Abdollah, et al.. (2021). DA2-Net : Diverse & Adaptive Attention Convolutional Neural Network. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 7. 1906–1912. 1 indexed citations
10.
Lascorz, Alberto Delmás, Patrick Judd, Zissis Poulos, et al.. (2019). Bit-Tactical. 749–763. 68 indexed citations
11.
Lascorz, Alberto Delmás, Sayeh Sharify, Patrick Judd, et al.. (2019). ShapeShifter. 28–41. 21 indexed citations
12.
Sharify, Sayeh, Alberto Delmás Lascorz, Mostafa Mahmoud, et al.. (2019). Laconic deep learning inference acceleration. 304–317. 52 indexed citations
13.
Mahmoud, Mostafa, et al.. (2018). Characterizing Sources of Ineffectual Computations in Deep Learning Networks. Apollo (University of Cambridge). 86–87. 5 indexed citations
14.
Moshovos, Andreas, Jorge Albericio, Patrick Judd, et al.. (2018). Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. abs 1706 504. 356–360. 2 indexed citations
15.
Siu, Kevin, et al.. (2018). Memory Requirements for Convolutional Neural Network Hardware Accelerators. 111–121. 47 indexed citations
17.
Mahmoud, Mostafa, et al.. (2013). Using Ontology for Associating Web Multimedia Resources with the Holy Quran. 246–251. 4 indexed citations
18.
Mahmoud, Mostafa, et al.. (2008). Using expert systems technology to increase agriculture production and water conservation. 1–7. 3 indexed citations
19.
Mahmoud, Mostafa, et al.. (2008). Expert System for Banking Credit Decision. 28. 813–819. 11 indexed citations
20.
Rafea, Ahmed, et al.. (1995). Experience with the Development and Deployment of Expert Systems in Agriculture.. Innovative Applications of Artificial Intelligence. 146–155. 14 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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