Hamid A. Jalab

3.6k total citations
143 papers, 2.5k citations indexed

About

Hamid A. Jalab is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hamid A. Jalab has authored 143 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 27 papers in Media Technology. Recurrent topics in Hamid A. Jalab's work include Digital Media Forensic Detection (31 papers), Advanced Steganography and Watermarking Techniques (28 papers) and Fractional Differential Equations Solutions (18 papers). Hamid A. Jalab is often cited by papers focused on Digital Media Forensic Detection (31 papers), Advanced Steganography and Watermarking Techniques (28 papers) and Fractional Differential Equations Solutions (18 papers). Hamid A. Jalab collaborates with scholars based in Malaysia, Iraq and United Kingdom. Hamid A. Jalab's co-authors include Rabha W. Ibrahim, A. A. Zaidan, B. B. Zaidan, Ali M. Hasan, Diaa Uliyan, Somayeh Sadeghi, Zarinah Mohd Kasirun, Farid Meziane, Rafidah Md Noor and Ala’a R. Al-Shamasneh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Hamid A. Jalab

135 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid A. Jalab Malaysia 30 1.5k 475 428 288 246 143 2.5k
Abeer D. Algarni Saudi Arabia 23 523 0.4× 629 1.3× 125 0.3× 216 0.8× 210 0.9× 153 2.2k
Seba Susan India 19 447 0.3× 707 1.5× 145 0.3× 190 0.7× 106 0.4× 105 1.3k
K. V. Arya India 24 848 0.6× 615 1.3× 272 0.6× 141 0.5× 142 0.6× 135 1.8k
Mohamed Darwish United Kingdom 25 1.3k 0.9× 368 0.8× 219 0.5× 217 0.8× 45 0.2× 134 2.2k
Xianglong Tang China 22 1.2k 0.8× 626 1.3× 239 0.6× 250 0.9× 43 0.2× 159 1.8k
Salman A. AlQahtani Saudi Arabia 24 165 0.1× 333 0.7× 92 0.2× 169 0.6× 304 1.2× 237 2.4k
Mehmet Ünal Türkiye 23 211 0.1× 509 1.1× 56 0.1× 191 0.7× 299 1.2× 36 1.7k
Yuk Ying Chung Australia 19 607 0.4× 599 1.3× 138 0.3× 161 0.6× 114 0.5× 125 1.6k
Malay K. Kundu India 29 1.8k 1.2× 454 1.0× 667 1.6× 149 0.5× 48 0.2× 121 2.4k
Chang‐Tsun Li United Kingdom 28 2.7k 1.8× 628 1.3× 437 1.0× 75 0.3× 262 1.1× 206 3.2k

Countries citing papers authored by Hamid A. Jalab

Since Specialization
Citations

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

Fields of papers citing papers by Hamid A. Jalab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamid A. Jalab. 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 Hamid A. Jalab. The network helps show where Hamid A. Jalab may publish in the future.

Co-authorship network of co-authors of Hamid A. Jalab

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid A. Jalab. A scholar is included among the top collaborators of Hamid A. Jalab 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 Hamid A. Jalab. Hamid A. Jalab 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.
Hasan, Ali M., et al.. (2023). A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina’s polynomial based fusion. Biomedical Signal Processing and Control. 84. 105002–105002. 7 indexed citations
2.
Jalab, Hamid A., et al.. (2020). Automatic region selection method to enhance image-based steganography. Periodicals of Engineering and Natural Sciences (PEN). 8(1). 67–78. 4 indexed citations
3.
Hasan, Ali M., Hamid A. Jalab, Rabha W. Ibrahim, et al.. (2020). MRI Brain Classification Using the Quantum Entropy LBP and Deep-Learning-Based Features. Entropy. 22(9). 1033–1033. 18 indexed citations
4.
5.
Jalab, Hamid A., et al.. (2019). Fractional Hölder mean-based image segmentation for mouse behavior analysis in conditional place preference test. Signal Image and Video Processing. 14(1). 135–142. 3 indexed citations
6.
Jalab, Hamid A., et al.. (2019). Renal Cancer Cell Nuclei Detection from Cytological Images Using Convolutional Neural Network for Estimating Proliferation Rate. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 11(1). 63–71. 4 indexed citations
7.
8.
Shivakumara, Palaiahnakote, Hamid A. Jalab, Rabha W. Ibrahim, et al.. (2019). A geometric and fractional entropy-based method for family photo classification. 3. 100008–100008. 4 indexed citations
9.
Shivakumara, Palaiahnakote, Hamid A. Jalab, Rabha W. Ibrahim, et al.. (2018). Fractional means based method for multi-oriented keyword spotting in video/scene/license plate images. Expert Systems with Applications. 118. 1–19. 15 indexed citations
10.
Uliyan, Diaa, et al.. (2018). A forensic scheme for revealing post-processed region duplication forgery in suspected images. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10(3). 37–45. 3 indexed citations
11.
Ibrahim, Rabha W., Ali M. Hasan, & Hamid A. Jalab. (2018). A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans. Computer Methods and Programs in Biomedicine. 163. 21–28. 35 indexed citations
12.
Ibrahim, Rabha W., et al.. (2015). Fractional Differential Texture Descriptors Based on the Machado Entropy for Image Splicing Detection. Entropy. 17(7). 4775–4785. 28 indexed citations
13.
Ibrahim, Rabha W. & Hamid A. Jalab. (2015). Image denoising based on approximate solution of fractional Cauchy-Euler equation by using complex-step method. Iranian Journal of Science and Technology (Sciences). 39(3). 243–251. 4 indexed citations
14.
Zainuddin, Roziati, et al.. (2013). DETECTING FACES IN COLORED IMAGES USING MULTI-SKIN COLOR MODELS AND NEURAL NETWORK WITH TEXTURE ANALYSIS. Malaysian Journal of Computer Science. 26(2). 101–123. 1 indexed citations
15.
Jalab, Hamid A. & Rabha W. Ibrahim. (2011). New activation functions for complex-valued neural network. International Journal of the Physical Sciences. 6(7). 1766–1772. 12 indexed citations
16.
Kasirun, Zarinah Mohd, et al.. (2010). On the accuracy of hiding information metrics: counterfeit protection for education and important certificates. International Journal of the Physical Sciences. 5(7). 1054–1062. 33 indexed citations
17.
Jalab, Hamid A., et al.. (2010). Increasing the reliability of skin detectors. Scientific Research and Essays. 5(17). 2480–2490. 29 indexed citations
18.
Jalab, Hamid A., et al.. (2010). Overview of textual anti-spam filtering techniques. International Journal of the Physical Sciences. 5(12). 1869–1882. 29 indexed citations
19.
Ibrahim, Rabha W. & Hamid A. Jalab. (2010). Existence solution for fractional integral inclusion. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
20.
Jalab, Hamid A., et al.. (2005). Data security based on neural networks. SHILAP Revista de lepidopterología. 409–414. 5 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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