K. Mayyas

1.6k total citations · 1 hit paper
38 papers, 1.2k citations indexed

About

K. Mayyas is a scholar working on Computational Mechanics, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, K. Mayyas has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 34 papers in Signal Processing and 5 papers in Control and Systems Engineering. Recurrent topics in K. Mayyas's work include Advanced Adaptive Filtering Techniques (37 papers), Speech and Audio Processing (28 papers) and Blind Source Separation Techniques (27 papers). K. Mayyas is often cited by papers focused on Advanced Adaptive Filtering Techniques (37 papers), Speech and Audio Processing (28 papers) and Blind Source Separation Techniques (27 papers). K. Mayyas collaborates with scholars based in Jordan, Canada and Finland. K. Mayyas's co-authors include T. Aboulnasr, Mohammad Ali Khasawneh, Esam Abdel‐Raheem, Mohammad A. Khasawneh and Mohammed Khalid and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of the Franklin Institute and Signal Processing.

In The Last Decade

K. Mayyas

37 papers receiving 1.1k citations

Hit Papers

A robust variable step-size LMS-type algorithm: analysis ... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers

K. Mayyas
Comparison fields: 5 of 45
  • Computational Mechanics 1.0k
  • Signal Processing 928
  • Electrical and Electronic Engineering 165
  • Control and Systems Engineering 157
  • Computer Vision and Pattern Recognition 100
Replace Luis A. Azpicueta-Ruiz with:
Luis A. Azpicueta-Ruiz Spain
P. Feintuch United States
Dae Hee Youn South Korea
S. Tressens Argentina
Sankha Subhra Bhattacharjee India
Tomas Gänsler Sweden
Gongping Huang China
Asutosh Kar India
G.A. Clark United States
Junghsi Lee Taiwan
Luis A. Azpicueta-Ruiz Spain View profile →
Citations per field, relative to K. Mayyas
K. Mayyas · 1×
Citations per year, relative to K. Mayyas
K. Mayyas · 1×

Countries citing papers authored by K. Mayyas

Since Specialization
Citations

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

Fields of papers citing papers by K. Mayyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Mayyas

This figure shows the co-authorship network connecting the top 25 collaborators of K. Mayyas. A scholar is included among the top collaborators of K. Mayyas 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 K. Mayyas. K. Mayyas 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
# Work Indexed citations
1 7
2 4
3 2
4 19
5 8
6 44
7 13
8 2
9 7
10 16
11
FAST IMPLEMENTATION OF A SUBBAND ADAPTIVE ALGORITHM FOR ACOUSTIC ECHO CANCELLATION
6
12 0
13 7
14 13
15 1
16 2
17 1
18 110
19 87
20
A robust variable step-size LMS-type algorithm: analysis and simulations breakdown →
532

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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2026