Saad Amin

1.2k total citations · 1 hit paper
68 papers, 745 citations indexed

About

Saad Amin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Saad Amin has authored 68 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Saad Amin's work include Digital Media Forensic Detection (9 papers), AI in cancer detection (8 papers) and Advanced Steganography and Watermarking Techniques (7 papers). Saad Amin is often cited by papers focused on Digital Media Forensic Detection (9 papers), AI in cancer detection (8 papers) and Advanced Steganography and Watermarking Techniques (7 papers). Saad Amin collaborates with scholars based in United Kingdom, United Arab Emirates and Jordan. Saad Amin's co-authors include Marcus Rohrbach, Bernt Schiele, Mykhaylo Andriluka, Rahat Iqbal, Mina Al-Saad, Wathiq Mansoor, Alavikunhu Panthakkan, Vasile Palade, R.N.G. Naguib and Victor Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems.

In The Last Decade

Saad Amin

64 papers receiving 709 citations

Hit Papers

A database for fine grained activity detection of cooking... 2012 2026 2016 2021 2012 100 200 300
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.

  1. A database for fine grained activity detection of cooking activities
    2012 323 citations Marcus Rohrbach, Saad Amin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saad Amin United Kingdom 10 387 304 83 60 52 68 745
Hezerul Abdul Karim Malaysia 15 391 1.0× 169 0.6× 67 0.8× 24 0.4× 98 1.9× 110 849
Ravindra S. Hegadi India 14 409 1.1× 172 0.6× 74 0.9× 27 0.5× 29 0.6× 85 701
My Abdelouahed Sabri Morocco 13 150 0.4× 208 0.7× 92 1.1× 129 2.1× 36 0.7× 82 557
Abdulaziz S. Almazyad Saudi Arabia 13 184 0.5× 166 0.5× 77 0.9× 13 0.2× 82 1.6× 67 560
I. Jeena Jacob India 11 183 0.5× 138 0.5× 75 0.9× 60 1.0× 61 1.2× 39 497
Nabeel Mohammed Bangladesh 16 320 0.8× 310 1.0× 79 1.0× 14 0.2× 38 0.7× 76 758
Tong Yu United States 11 188 0.5× 228 0.8× 92 1.1× 27 0.5× 41 0.8× 61 618
Souad Larabi-Marie-Sainte Saudi Arabia 12 123 0.3× 451 1.5× 107 1.3× 120 2.0× 58 1.1× 38 797
Debabrata Samanta India 15 186 0.5× 205 0.7× 155 1.9× 61 1.0× 190 3.7× 93 876
Yonghong Yu China 16 216 0.6× 370 1.2× 263 3.2× 22 0.4× 61 1.2× 49 776

Countries citing papers authored by Saad Amin

Since Specialization
Citations

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

Fields of papers citing papers by Saad Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Amin. A scholar is included among the top collaborators of Saad Amin 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 Saad Amin. Saad Amin 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.
Amin, Saad, et al.. (2024). Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer. Heliyon. 10(14). e34050–e34050. 4 indexed citations
2.
3.
Singh, Upendra N., et al.. (2022). Scalable priority-based resource allocation scheme for M2M communication in LTE/LTE-A network. Computers & Electrical Engineering. 103. 108321–108321. 9 indexed citations
4.
Atalla, Shadi, et al.. (2022). Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India. Frontiers in Artificial Intelligence. 5. 865792–865792. 2 indexed citations
5.
Panthakkan, Alavikunhu, et al.. (2020). Skin Cancer Classification Model Based on VGG 19 and Transfer Learning. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–4. 41 indexed citations
6.
Amin, Saad, et al.. (2018). Steganalysis of RGB Images Using Merged Statistical Features of Color Channels. 1. 46–51. 5 indexed citations
7.
Iqbal, Rahat, et al.. (2017). An integrated approach for intrinsic plagiarism detection. Future Generation Computer Systems. 96. 700–712. 33 indexed citations
8.
Amin, Saad, et al.. (2017). Digital forensics model of smart city automated vehicles challenges. University of Bedfordshire Repository (University of Bedfordshire). 4 indexed citations
9.
10.
Iqbal, Rahat, et al.. (2016). An Integrated Machine Learning Approach for Extrinsic Plagiarism Detection. Pure (Coventry University). 203–208. 6 indexed citations
11.
Amin, Saad, et al.. (2016). Medical Image Inpainting with RBF Interpolation Technique. International Journal of Advanced Computer Science and Applications. 7(8). 7 indexed citations
12.
Amin, Saad, et al.. (2015). Filtering and Reconstruction System for Grey-Level Forensic Images. World Academy of Science, Engineering and Technology, International Journal of Computer and Information Engineering. 2(1). 1 indexed citations
13.
Hijji, Mohammad, et al.. (2014). The Significance of Using „Expert System‟ to Assess the Preparedness of Training Capabilities against Different Flash Flood Scenarios. Pure (Coventry University). 3(3). 214–219. 6 indexed citations
14.
Hijji, Mohammad, et al.. (2013). A Critical Evaluation of the Rational Need for an IT Management System for Flash Flood Events in Jeddah, Saudi Arabia. Pure (Coventry University). 209–214. 8 indexed citations
15.
Rohrbach, Marcus, Saad Amin, Mykhaylo Andriluka, & Bernt Schiele. (2012). A database for fine grained activity detection of cooking activities. 1194–1201. 323 indexed citations breakdown →
16.
17.
Amin, Saad, et al.. (2011). Medical Image Reconstruction Using Wavelets and Multi-Wavelet Methods. 3391. 36–41. 1 indexed citations
18.
Amin, Saad, et al.. (2009). The Relationship between Culture and E-business Acceptance in Arab Countries. 454–459. 8 indexed citations
19.
Naguib, R.N.G., et al.. (2005). Hand motion segmentation against skin colour background in breast awareness applications. PubMed. 4. 3221–3224. 3 indexed citations
20.
Οικονόμου, Ανδρέας, et al.. (2005). IRiS: an interactive reality system for breast self-examination training. PubMed. 4. 5162–5165. 6 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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