Igor Aizenberg
Impact in
- Media Technology top 1%
- Advanced Image Fusion Techniques
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
-
- Neural Networks and Applications 50
- Fuzzy Logic and Control Systems 10
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- Image and Signal Denoising Methods 23
- Co-authors
- Naum N. Aizenberg (16 shared papers)Constantine Butakoff (9 shared papers)Claudio Moraga (3 shared papers)Joos Vandewalle (3 shared papers)Jaakko Astola (7 shared papers)Antonio Luchetta (12 shared papers)Jacek M. Żurada (2 shared papers)S. Manetti (8 shared papers)
- Journals
- Soft Computing (4 papers)Image and Vision Computing (2 papers)IEEE Signal Processing Letters (2 papers)Energies (2 papers)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesUkraineItaly
In The Last Decade
Igor Aizenberg
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Media Technology 261
- Computer Vision and Pattern Recognition 546
- Artificial Intelligence 730
- Signal Processing 164
- Control and Systems Engineering 266
Countries citing papers authored by Igor Aizenberg
This map shows the geographic impact of Igor Aizenberg'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 Igor Aizenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Aizenberg more than expected).
Fields of papers citing papers by Igor Aizenberg
This network shows the impact of papers produced by Igor Aizenberg. 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 Igor Aizenberg. The network helps show where Igor Aizenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Aizenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 177 | |
| 2 | 2006 | 142 | |
| 3 | 2008 | 114 | |
| 4 | 2000 | 108 | |
| 5 | 2015 | 95 | |
| 6 | 2003 | 76 | |
| 7 | 2004 | 75 | |
| 8 | 2012 | 63 | |
| 9 | 2004 | 53 | |
| 10 | 2011 | 44 | |
| 11 | 2007 | 44 | |
| 12 | 2001 | 39 | |
| 13 | 2002 | 33 | |
| 14 | 2014 | 31 | |
| 15 | 2010 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 1997 | 23 | |
| 18 | 2007 | 22 | |
| 19 | 2002 | 20 | |
| 20 | 2021 | 19 |
About Igor Aizenberg
Igor Aizenberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Media Technology, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (50 papers), Image and Signal Denoising Methods (23 papers), Neural Networks Stability and Synchronization (13 papers), Fuzzy Logic and Control Systems (10 papers), Advanced Image Fusion Techniques (10 papers), Control Systems and Identification (6 papers), Image Processing Techniques and Applications (6 papers) and Machine Fault Diagnosis Techniques (5 papers). The work is most often cited by research in Media Technology (261 citations), Computer Vision and Pattern Recognition (546 citations), Artificial Intelligence (730 citations), Signal Processing (164 citations) and Control and Systems Engineering (266 citations). Igor Aizenberg has collaborated with scholars based in United States, Ukraine and Italy. Frequent co-authors include Naum N. Aizenberg, Constantine Butakoff, Claudio Moraga, Joos Vandewalle, Jaakko Astola, Antonio Luchetta, Jacek M. Żurada, S. Manetti, Luis Alfonso Villa‐Vargas and Leonid Sheremetov. Their work appears in journals such as Soft Computing, Image and Vision Computing, IEEE Signal Processing Letters, Energies and Mathematical Biosciences.
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.