Akmal A. Younis

435 total citations
20 papers, 329 citations indexed

About

Akmal A. Younis is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Akmal A. Younis has authored 20 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 4 papers in Computer Networks and Communications. Recurrent topics in Akmal A. Younis's work include Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Gene expression and cancer classification (3 papers). Akmal A. Younis is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Gene expression and cancer classification (3 papers). Akmal A. Younis collaborates with scholars based in United States, Egypt and United Arab Emirates. Akmal A. Younis's co-authors include Mansur R. Kabuka, Nigel John, Pradip M. Pattany, Mohamed Ibrahim, Brian C. Bowen, Robert Duncan, Robert M. Quencer, James B. Murdoch, Francisco Tellechea Rotta and Walter G. Bradley and has published in prestigious journals such as BMC Genomics, IEEE Transactions on Circuits and Systems for Video Technology and Image and Vision Computing.

In The Last Decade

Akmal A. Younis

19 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akmal A. Younis United States 9 124 101 57 53 51 20 329
Sidan Du China 9 102 0.8× 101 1.0× 98 1.7× 8 0.2× 14 0.3× 44 380
Viktoria Korzhova Germany 6 316 2.5× 23 0.2× 58 1.0× 31 0.6× 94 1.8× 9 569
Sumaira Hussain China 8 169 1.4× 61 0.6× 29 0.5× 48 0.9× 13 0.3× 17 383
Junting Zhang China 9 192 1.5× 416 4.1× 77 1.4× 49 0.9× 70 1.4× 20 766
Zilong Hu China 11 134 1.1× 81 0.8× 63 1.1× 203 3.8× 26 0.5× 25 645
Oliver Lange Germany 10 42 0.3× 110 1.1× 33 0.6× 195 3.7× 66 1.3× 25 459
Zhanxiong Wu China 9 54 0.4× 68 0.7× 47 0.8× 81 1.5× 14 0.3× 28 319
Hangfan Liu China 14 328 2.6× 28 0.3× 53 0.9× 90 1.7× 16 0.3× 40 588
Christian Menard Germany 8 35 0.3× 44 0.4× 16 0.3× 76 1.4× 17 0.3× 25 303
Fan Zhu China 9 107 0.9× 7 0.1× 125 2.2× 163 3.1× 31 0.6× 20 536

Countries citing papers authored by Akmal A. Younis

Since Specialization
Citations

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

Fields of papers citing papers by Akmal A. Younis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akmal A. Younis

This figure shows the co-authorship network connecting the top 25 collaborators of Akmal A. Younis. A scholar is included among the top collaborators of Akmal A. Younis 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 Akmal A. Younis. Akmal A. Younis 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.
Younis, Akmal A. & Mushtaq Ahmed. (2024). Elevator fault monitoring and detection system based on internet of things. AIP conference proceedings. 3229. 40021–40021. 1 indexed citations
2.
El‐Moursy, Ali A., et al.. (2012). Hierarchical-based parallel technique for HMM 3D MRI brain segmentation algorithm. International Journal of Parallel Emergent and Distributed Systems. 27(4). 297–316. 1 indexed citations
3.
Younis, Akmal A., et al.. (2012). Multi-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIs. The Open Biomedical Engineering Journal. 6(1). 56–72. 14 indexed citations
4.
El‐Moursy, Ali A., Hanan Elazhary, & Akmal A. Younis. (2012). High‐accuracy hierarchical parallel technique for hidden Markov model‐based 3D magnetic resonance image brain segmentation. Concurrency and Computation Practice and Experience. 26(1). 194–216. 4 indexed citations
5.
Younis, Akmal A., et al.. (2011). Textural Based SVM for MS Lesion Segmentation in FLAIR MRIs. 1(2). 26–42. 11 indexed citations
6.
Radwan, Ahmed, Lucian Popa, Ioana Stanoi, & Akmal A. Younis. (2009). Top-k generation of integrated schemas based on directed and weighted correspondences. 641–654. 19 indexed citations
7.
Radwan, Ahmed, Akmal A. Younis, Peter Luykx, & Sawsan Khuri. (2008). Prediction and analysis of nucleosome exclusion regions in the human genome. BMC Genomics. 9(1). 186–186. 20 indexed citations
8.
Radwan, Ahmed, Akmal A. Younis, Sawsan Khuri, et al.. (2007). BioFederator: A Data Federation System for Bioinformatics on the Web. 12(2). 31–9. 2 indexed citations
9.
Younis, Akmal A., Mohamed Ibrahim, Mansur R. Kabuka, & Nigel John. (2007). An Artificial Immune-Activated Neural Network Applied to Brain 3D MRI Segmentation. Journal of Digital Imaging. 21(S1). 69–88. 17 indexed citations
10.
Younis, Akmal A., et al.. (2007). MS Lesions Detection in MRI Using Grouping Artificial Immune Networks. 3. 1139–1146. 8 indexed citations
11.
Younis, Akmal A., et al.. (2007). Co-segmentation of MR and MR spectroscopy imaging using hidden markov models. 52. 188–191. 3 indexed citations
12.
Younis, Akmal A., et al.. (2007). A Proactive Fault Tolerance Management Algorithm for Mobile Ad Hoc Networks. 571–575. 3 indexed citations
13.
Ibrahim, Mohamed, Nigel John, Mansur R. Kabuka, & Akmal A. Younis. (2006). Hidden Markov models-based 3D MRI brain segmentation. Image and Vision Computing. 24(10). 1065–1079. 47 indexed citations
14.
Badía, Rosa M., Gargi Dasgupta, Liana Fong, et al.. (2006). Innovative grid technologies applied to bioinformatics and hurricane mitigation. 436–462. 7 indexed citations
15.
Younis, Akmal A., et al.. (2005). Automated Segmentation of Spinal Diffusion Tensor MR Imaging. 23. 187–192. 2 indexed citations
16.
Younis, Akmal A., et al.. (2005). An Efficient Role-Based Access Control Mechanism for Multicasting Environments. 142–145. 1 indexed citations
17.
Younis, Akmal A., et al.. (2004). Automatic Moving Object Extraction for Content-Based Applications. IEEE Transactions on Circuits and Systems for Video Technology. 14(6). 796–812. 35 indexed citations
18.
Bowen, Brian C., Pradip M. Pattany, Walter G. Bradley, et al.. (2000). MR imaging and localized proton spectroscopy of the precentral gyrus in amyotrophic lateral sclerosis.. PubMed. 21(4). 647–58. 120 indexed citations
19.
John, Nigel, Xiaohong Li, Akmal A. Younis, & Mansur R. Kabuka. (1994). <title>Automatic segmentation of MR brain images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2167. 65–76. 1 indexed citations
20.
Kabuka, Mansur R., et al.. (1990). A fault-tolerant architecture for an automatic vision-guided vehicle. IEEE Transactions on Systems Man and Cybernetics. 20(2). 380–394. 13 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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