H. Lev-Ari

111 papers receiving 1.7k citations

Peers

H. Lev-Ari
Comparison fields: 5 of 75
  • Signal Processing 501
  • Computational Mathematics 22
  • Control and Systems Engineering 601
  • Computational Mechanics 458
  • Computational Theory and Mathematics 359
Replace Antonio Cantoni with:
Antonio Cantoni Australia
P. Dewilde Netherlands
Delin Chu Singapore
Allan O. Steinhardt United States
Yves V. Genin Belgium
Bruce Dickinson United States
Clive Cheong Took United Kingdom
N.K. Bose United States
S. D. Riemenschneider Canada
Anders Lindquist Sweden
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Citations per field
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Citations per year

Countries citing papers authored by H. Lev-Ari

Since Specialization
Citations

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

Fields of papers citing papers by H. Lev-Ari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Lev-Ari. 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 H. Lev-Ari. The network helps show where H. Lev-Ari may publish in the future.

Co-authors

The 25 scholars most cited alongside H. Lev-Ari, 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 H. Lev-Ari Line = papers co-authored together H. Lev-Ari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011153
2 1987129
3 198692
4 198490
5 198488
6 200383
7 200280
8 199561
9 201756
10 199151
11 200349
12 200249
13 200140
14 200440
15 199738
16 198738
17 199237
18 200537
19 199735
20 198934

About H. Lev-Ari

H. Lev-Ari is a scholar working on Signal Processing, Control and Systems Engineering, Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 123 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (27 papers), Power Quality and Harmonics (19 papers), Blind Source Separation Techniques (18 papers), Matrix Theory and Algorithms (17 papers), Power System Optimization and Stability (16 papers), Control Systems and Identification (12 papers), Power Systems Fault Detection (11 papers) and Image and Signal Denoising Methods (11 papers). The work is most often cited by research in Signal Processing (501 citations), Computational Mathematics (22 citations), Control and Systems Engineering (601 citations), Computational Mechanics (458 citations) and Computational Theory and Mathematics (359 citations). H. Lev-Ari has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include T. Kailath, A.M. Stanković, Ali Abur, Y. Ephraim, Mert Korkali, Joohwan Chun, Y. Bistritz, John M. Cioffi, Peng Wu and Ali Sayed. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery and Linear Algebra and its Applications.

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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