Shefa A. Dawwd

592 total citations · 1 hit paper
25 papers, 426 citations indexed

About

Shefa A. Dawwd is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Shefa A. Dawwd has authored 25 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Shefa A. Dawwd's work include Neural Networks and Applications (7 papers), Hand Gesture Recognition Systems (4 papers) and Brain Tumor Detection and Classification (3 papers). Shefa A. Dawwd is often cited by papers focused on Neural Networks and Applications (7 papers), Hand Gesture Recognition Systems (4 papers) and Brain Tumor Detection and Classification (3 papers). Shefa A. Dawwd collaborates with scholars based in Iraq. Shefa A. Dawwd's co-authors include Ali Al-Saegh and Jassim M. Abdul-Jabbar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Networks and Biomedical Signal Processing and Control.

In The Last Decade

Shefa A. Dawwd

22 papers receiving 411 citations

Hit Papers

align trajectories

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.

Deep learning for motor imagery EEG-based classification: A review

2020 307 citations Ali Al-Saegh, Shefa A. Dawwd et al. Biomedical Signal Processing and Control profile →

Peers

Shefa A. Dawwd

CN

EEE

CMN

HI

SP

Jassim M. Abdul-Jabbar Iraq

Xiangmin Lun China

Ali Al-Saegh Iraq

Kais Belwafi Saudi Arabia

Natasha Padfield United Kingdom

Fatemeh Fahimi Singapore

Valentín Masero Spain

Xuelin Ma China

Minmin Miao China

Jassim M. Abdul-Jabbar Iraq

Shefa A. Dawwd

329 ×1.0

CN

125 ×1.0

EEE

129 ×1.0

CMN

83 ×0.8

HI

92 ×1.4

SP

Citations per year, relative to Shefa A. Dawwd Shefa A. Dawwd (= 1×) peers Jassim M. Abdul-Jabbar

Countries citing papers authored by Shefa A. Dawwd

Since Specialization

Citations

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

Fields of papers citing papers by Shefa A. Dawwd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shefa A. Dawwd

This figure shows the co-authorship network connecting the top 25 collaborators of Shefa A. Dawwd. A scholar is included among the top collaborators of Shefa A. Dawwd 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 Shefa A. Dawwd. Shefa A. Dawwd 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

1.

Dawwd, Shefa A., et al.. (2025). Comparative Review of Multicore Architectures: Intel, AMD, and ARM in the Modern Computing Era. SHILAP Revista de lepidopterología. 4(4). 44–44.

2.

Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2024). Towards Efficient Motor Imagery EEG-based BCI Systems using DCNN. 59–66.

3.

Dawwd, Shefa A., et al.. (2024). DCNN For Cataract Disease Detection Based on Model Parallelism. Maǧallaẗ al-handasaẗ al-rāfidayn. 29(2). 111–118. 1 indexed citations

4.

Dawwd, Shefa A., et al.. (2023). DCNN-based embedded models for parallel diagnosis of ocular diseases. Eastern-European Journal of Enterprise Technologies. 4(2 (124)). 53–69. 4 indexed citations

5.

Dawwd, Shefa A., et al.. (2023). SIMD implementation of deep CNNs for myopia detection on a single-board computer system. Eastern-European Journal of Enterprise Technologies. 5(9 (125)). 98–108. 2 indexed citations

6.

Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2021). CutCat: An augmentation method for EEG classification. Neural Networks. 141. 433–443. 36 indexed citations

7.

Dawwd, Shefa A., et al.. (2021). Performance Optimization on GPGPU & Multicore CPU Using Roofline Model. IOP Conference Series Materials Science and Engineering. 1152(1). 12021–12021. 1 indexed citations

8.

Dawwd, Shefa A., et al.. (2021). Static hand gesture recognition of Arabic sign language by using deep CNNs. Indonesian Journal of Electrical Engineering and Computer Science. 24(1). 178–178. 8 indexed citations

9.

Dawwd, Shefa A., et al.. (2021). Arabic Sign Language Detection Using Deep Learning Based Pose Estimation. 161–166. 3 indexed citations

10.

Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2020). Deep learning for motor imagery EEG-based classification: A review. Biomedical Signal Processing and Control. 63. 102172–102172. 307 indexed citations breakdown →

11.

Dawwd, Shefa A.. (2019). GLCM based parallel texture segmentation using a multicore processor.. The International Arab Journal of Information Technology. 16. 8–16. 3 indexed citations

12.

Dawwd, Shefa A., et al.. (2018). Time Sharing Based Parallel Implementation of CNN on Low Cost FPGA. 2903. 54–59. 1 indexed citations

13.

Dawwd, Shefa A., et al.. (2018). Embedded Real-Time Video Surveillance System based on Multi-Sensor and Visual Tracking. Applied Mathematics & Information Sciences. 12(2). 345–359. 13 indexed citations

14.

Dawwd, Shefa A.. (2013). The multi 2D systolic design and implementation of Convolutional Neural Networks. 221–224. 6 indexed citations

15.

Dawwd, Shefa A., et al.. (2013). GPU acceleration of object detection on video stream using CUDA. 3. 198–203. 3 indexed citations

16.

Dawwd, Shefa A., et al.. (2011). FPGA based Reconfigurable 2D FFT System. Maǧallaẗ al-handasaẗ al-rāfidayn. 19(3). 76–88. 1 indexed citations

17.

Dawwd, Shefa A., et al.. (2009). FPGA based selective harmonic elimination pulse width modulation technique. 1–6. 7 indexed citations

18.

Dawwd, Shefa A., et al.. (2009). A reconfigurable interconnected filter for face recognition based on convolution neural network. 2903 2003. 1–6. 5 indexed citations

19.

Dawwd, Shefa A., et al.. (2008). Real Time Image Segmentation for Face Detection Based on Fuzzy Logic. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Dawwd, Shefa A., et al.. (2008). Development and Evaluation of two Memory Architectures for the Hardware Version of CNN Face Recognizer. Maǧallaẗ al-handasaẗ al-rāfidayn. 16(3). 11–24. 1 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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