Wala Saadeh

50 papers receiving 868 citations

Peers

Wala Saadeh
Comparison fields: 5 of 84
  • Biophysics 110
  • Cognitive Neuroscience 225
  • Cardiology and Cardiovascular Medicine 240
  • Biomedical Engineering 529
  • Anesthesiology and Pain Medicine 54
Replace Khosrow Behbehani with:
Khosrow Behbehani United States
Muhammad Awais Bin Altaf Pakistan
Ata Akın Türkiye
Kyoung-Joung Lee South Korea
David Naranjo-Hernández Spain
Dongrae Cho South Korea
Adson Ferreira da Rocha Brazil
Kiseok Song South Korea
Vega Pradana Rachim South Korea
Ahmad Shalbaf Iran
Wala Saadeh relative to Khosrow Behbehani United States Khosrow Behbehani's profile →
Citations per field
00.5×2.8×
Khosrow Behbehani · 1×
Citations per year

Countries citing papers authored by Wala Saadeh

Since Specialization
Citations

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

Fields of papers citing papers by Wala Saadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Wala Saadeh, 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 Wala Saadeh Line = papers co-authored together Wala Saadeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 202079
3 202265
4 201765
5 201951
6 201747
7 201846
8 201933
9 201831
10 202030
11 201926
12 201725
13 201822
14 202218
15 201717
16 201617
17 201916
18 201816
19 201516
20 202115

About Wala Saadeh

Wala Saadeh is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 56 papers that have together received 895 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Non-Invasive Vital Sign Monitoring (19 papers), ECG Monitoring and Analysis (17 papers), Neuroscience and Neural Engineering (10 papers), Heart Rate Variability and Autonomic Control (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Wireless Body Area Networks (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Biophysics (110 citations), Cognitive Neuroscience (225 citations), Cardiology and Cardiovascular Medicine (240 citations), Biomedical Engineering (529 citations) and Anesthesiology and Pain Medicine (54 citations). Wala Saadeh has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Muhammad Awais Bin Altaf, Jerald Yoo, Talha Iqbal, Michael H. Perrott, Temesghen Tekeste, Bingzhao Zhu, Gianluca Coppola, Mahsa Shoaran, Muhammad Sheeraz and E.M. Drakakis. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Journal of Solid-State Circuits, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Sensors and IEEE Transactions on Biomedical Circuits and Systems.

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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