Rabab Ward

17.9k citations
459 papers · 13.0k · 4 hit papers · h-index 55

Impact in

Papers in

    • Advanced Image Processing Techniques 57
    • Image and Signal Denoising Methods 50
    • Advanced Vision and Imaging 39
    • Advanced Data Compression Techniques 38
    • Video Coding and Compression Technologies 50
    • Blind Source Separation Techniques 46

Rabab Ward

427 papers receiving 12.4k citations

Rabab Ward's Hit Papers

The use of photoplethysmography for assessing hypertension 2019 · 420 citations
4200+6+12Years since publication200400600

Peers

Rabab Ward
Comparison fields: 5 of 195
  • Media Technology 2.4k
  • Computer Vision and Pattern Recognition 4.8k
  • Signal Processing 1.9k
  • Cognitive Neuroscience 2.6k
  • Aging 152
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Citations per field
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Citations per year

Countries citing papers authored by Rabab Ward

Since Specialization
Citations

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

Fields of papers citing papers by Rabab Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rabab Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rabab Ward Line = papers co-authored together Rabab Ward links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 459 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image Fusion With Convolutional Sparse Representation
Hit paper breakdown →
2016739
2
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Hit paper breakdown →
2007623
3
Deep learning for pixel-level image fusion: Recent advances and future prospects
Hit paper breakdown →
2017552
4 2006431
5 1997424
6
The use of photoplethysmography for assessing hypertension
Hit paper breakdown →
2019420
7 2007335
8 1998315
9 2019245
10 1999204
11 2018195
12 2018175
13 2018157
14 1998136
15 2007135
16 2018128
17 2009126
18 2016126
19 2010120
20 2005118

About Rabab Ward

Rabab Ward is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Cognitive Neuroscience and Biomedical Engineering, having authored 459 papers that have together received 13.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (75 papers), Sparse and Compressive Sensing Techniques (65 papers), Advanced Image Processing Techniques (57 papers), Image and Signal Denoising Methods (50 papers), Video Coding and Compression Technologies (50 papers), Blind Source Separation Techniques (46 papers), Advanced Vision and Imaging (39 papers) and Advanced Data Compression Techniques (38 papers). The work is most often cited by research in Media Technology (2.4k citations), Computer Vision and Pattern Recognition (4.8k citations), Signal Processing (1.9k citations), Cognitive Neuroscience (2.6k citations) and Aging (152 citations). Rabab Ward has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Angshul Majumdar, Z. Jane Wang, Gary E. Birch, Xun Chen, Mehrdad Fatourechi, Yü Liu, Ali Bashashati, Mohamed Elgendi, Qing Wang and Yongbo Liang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Consumer Electronics, Sensors, Magnetic Resonance Imaging and Signal Processing.

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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