Igor Aizenberg

2.8k total citations
79 papers, 1.5k citations indexed

About

Igor Aizenberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Igor Aizenberg has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 20 papers in Control and Systems Engineering. Recurrent topics in Igor Aizenberg's work include Neural Networks and Applications (50 papers), Image and Signal Denoising Methods (23 papers) and Neural Networks Stability and Synchronization (13 papers). Igor Aizenberg is often cited by papers focused on Neural Networks and Applications (50 papers), Image and Signal Denoising Methods (23 papers) and Neural Networks Stability and Synchronization (13 papers). Igor Aizenberg collaborates with scholars based in United States, Ukraine and Italy. Igor Aizenberg's co-authors include Naum N. Aizenberg, Constantine Butakoff, Claudio Moraga, Joos Vandewalle, Jaakko Astola, Jacek M. Żurada, Antonio Luchetta, Leonid Sheremetov, S. Manetti and Luis Alfonso Villa‐Vargas and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Igor Aizenberg

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Igor Aizenberg United States 19 732 549 283 266 263 79 1.5k
M. N. S. Swamy Canada 23 622 0.8× 537 1.0× 542 1.9× 215 0.8× 158 0.6× 160 2.2k
Yi Liu China 21 492 0.7× 539 1.0× 384 1.4× 200 0.8× 241 0.9× 172 1.9k
Yuewei Dai China 21 668 0.9× 1.0k 1.9× 115 0.4× 200 0.8× 242 0.9× 134 1.9k
Yi‐Fei Pu China 28 531 0.7× 883 1.6× 337 1.2× 344 1.3× 390 1.5× 131 2.3k
Yiguang Liu China 23 398 0.5× 634 1.2× 203 0.7× 134 0.5× 180 0.7× 106 1.5k
Yu Liu China 22 522 0.7× 595 1.1× 154 0.5× 174 0.7× 351 1.3× 167 1.9k
Abdellatif Mtibaa Tunisia 21 398 0.5× 838 1.5× 463 1.6× 193 0.7× 126 0.5× 179 1.7k
K. Ramar India 24 322 0.4× 440 0.8× 484 1.7× 534 2.0× 207 0.8× 128 1.7k
Mineichi Kudo Japan 18 734 1.0× 611 1.1× 131 0.5× 121 0.5× 61 0.2× 111 1.7k
K. V. Arya India 24 615 0.8× 848 1.5× 144 0.5× 80 0.3× 272 1.0× 135 1.8k

Countries citing papers authored by Igor Aizenberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Igor Aizenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Aizenberg. A scholar is included among the top collaborators of Igor Aizenberg 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 Igor Aizenberg. Igor Aizenberg 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
1.
Aizenberg, Igor, et al.. (2024). Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks. Algorithms. 17(8). 361–361. 1 indexed citations
2.
Aizenberg, Igor, et al.. (2023). MLMVN as a Frequency Domain Convolutional Neural Network. 1 indexed citations
3.
Bindi, Marco, Fabio Corti, Antonio Luchetta, et al.. (2023). Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines. Energies. 16(9). 3627–3627. 8 indexed citations
4.
Bindi, Marco, Fabio Corti, Igor Aizenberg, et al.. (2022). Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications. Algorithms. 15(3). 74–74. 24 indexed citations
5.
Aizenberg, Igor, Marco Bindi, Francesco Grasso, et al.. (2021). A Neural Network Classifier with Multi-Valued Neurons for Analog Circuit Fault Diagnosis. Electronics. 10(3). 349–349. 17 indexed citations
6.
Aizenberg, Igor, Marco Bindi, Francesco Grasso, et al.. (2020). Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables. Energies. 14(1). 85–85. 14 indexed citations
7.
Aizenberg, Igor, et al.. (2018). Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks. 315–321. 8 indexed citations
8.
9.
Aizenberg, Igor, Antonio Luchetta, & S. Manetti. (2011). A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition. Soft Computing. 16(4). 563–575. 44 indexed citations
10.
Aizenberg, Igor. (2011). Complex-Valued Neural Networks with Multi-Valued Neurons. Studies in computational intelligence. 175 indexed citations
11.
Aizenberg, Igor. (2010). Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. IEEE Transactions on Neural Networks. 21(12). 1939–1949. 25 indexed citations
12.
13.
Aizenberg, Igor, et al.. (2008). Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. IEEE Transactions on Neural Networks. 19(5). 883–898. 114 indexed citations
14.
Aizenberg, Igor & Claudio Moraga. (2007). The Genetic Code as a Function of Multiple- Valued Logic Over the Field of Complex Numbers and its Learning using Multilayer Neural Network Based on Multi-Valued Neurons *. 13. 605–618. 6 indexed citations
15.
Aizenberg, Igor & Jaakko Astola. (2006). Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis. IEEE Transactions on Signal Processing. 54(11). 4261–4270. 11 indexed citations
16.
Aizenberg, Igor, et al.. (2003). Detectors of the impulsive noise and new effective filters for the impulsive noise reduction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5014. 419–419. 10 indexed citations
17.
Aizenberg, Igor, Ekaterina Myasnikova, Maria Samsonova, & John Reinitz. (2002). Temporal classification of Drosophila segmentation gene expression patterns by the multi-valued neural recognition method. Mathematical Biosciences. 176(1). 145–159. 12 indexed citations
18.
19.
Aizenberg, Igor. (1997). Multi-valued non-linear filters and their implementation on cellular neural networks. IOS Press eBooks. 135–140. 5 indexed citations
20.
Aizenberg, Igor. (1991). A universal logic element over the complex field. Cybernetics and Systems Analysis. 27(3). 467–473. 4 indexed citations

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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