L. Khadra

648 citations
24 papers · 491 · h-index 11

Impact in

Papers in

L. Khadra

23 papers receiving 458 citations

Peers

L. Khadra
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 279
  • Signal Processing 92
  • Cognitive Neuroscience 154
  • Pulmonary and Respiratory Medicine 110
  • Control and Systems Engineering 66
Replace N. Suzumura with:
N. Suzumura Japan
W.B. Collis United Kingdom
David C. Farden United States
Kuo-Hsuan Hung Taiwan
Robin L. Murray United States
Ambalika Sharma India
Ahmed S. Eltrass Egypt
Maria G. Jafari United Kingdom
Messaoud Benidir France
Nicoletta Saulig Croatia
L. Khadra relative to N. Suzumura Japan N. Suzumura's profile →
Citations per field
00.5×
N. Suzumura · 1×
Citations per year

Countries citing papers authored by L. Khadra

Since Specialization
Citations

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

Fields of papers citing papers by L. Khadra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside L. Khadra, 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 L. Khadra Line = papers co-authored together L. Khadra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005114
2 1997102
3 198243
4 200242
5 199141
6 198025
7 200515
8 199415
9 200514
10 199313
11 199412
12 198810
13 20198
14 19978
15 20036
16 20026
17
A New Quantitative Analysis Technique for Cardiac Arrhythmia Classification Using Bispectrum and Bicoherency
20046
18 19983
19 19893
20 19892

About L. Khadra

L. Khadra is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing, Control and Systems Engineering, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 491 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), Cardiac electrophysiology and arrhythmias (6 papers), Machine Fault Diagnosis Techniques (5 papers), Blind Source Separation Techniques (4 papers), Chaos control and synchronization (4 papers), Image and Signal Denoising Methods (4 papers), Phonocardiography and Auscultation Techniques (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (279 citations), Signal Processing (92 citations), Cognitive Neuroscience (154 citations), Pulmonary and Respiratory Medicine (110 citations) and Control and Systems Engineering (66 citations). L. Khadra has collaborated with scholars based in Jordan, Germany and United States. Frequent co-authors include Hasan Al‐Nashash, E.J. Powers, Hartmut Dickhaus, Mustafa M. Matalgah, Frederick L. Jones, Johannes Brachmann, Richard W. Miksad, Salem Al‐Agtash, Sana Salous and Adnan Harb. Their work appears in journals such as The Journal of the Acoustical Society of America, Methods of Information in Medicine, IEEE Transactions on Biomedical Engineering, Electronics Letters and Computer Methods and Programs in Biomedicine.

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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