A. L. Reznik

505 total citations
31 papers, 232 citations indexed

About

A. L. Reznik is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, A. L. Reznik has authored 31 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in A. L. Reznik's work include Image and Signal Denoising Methods (4 papers), Optical and Acousto-Optic Technologies (4 papers) and Digital Image Processing Techniques (4 papers). A. L. Reznik is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Optical and Acousto-Optic Technologies (4 papers) and Digital Image Processing Techniques (4 papers). A. L. Reznik collaborates with scholars based in Russia, United States and Belarus. A. L. Reznik's co-authors include Sanjeev R. Kulkarni, Sergio Verdú, Marcelo Godoy Simões, S. M. Muyeen, Ahmed Al‐Durra, А. А. Соловьев, Alexander Soloviev, Alexander V. Tuzikov, Vassili Kovalev and Alexander Barg and has published in prestigious journals such as IEEE Transactions on Information Theory, physica status solidi (b) and Computer Optics.

In The Last Decade

A. L. Reznik

27 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. L. Reznik Russia 6 173 129 40 26 13 31 232
Patrick P. Gelsinger United States 6 168 1.0× 88 0.7× 16 0.4× 10 0.4× 22 1.7× 11 276
Donghun Lee South Korea 11 243 1.4× 250 1.9× 16 0.4× 27 1.0× 21 1.6× 71 363
Said Nader‐Esfahani Iran 9 225 1.3× 206 1.6× 13 0.3× 18 0.7× 5 0.4× 39 353
Germán Rodríguez Switzerland 10 127 0.7× 198 1.5× 18 0.5× 10 0.4× 23 1.8× 27 303
Hongwei Yang China 7 322 1.9× 248 1.9× 16 0.4× 8 0.3× 18 1.4× 36 356
Hugerles S. Silva Brazil 10 204 1.2× 97 0.8× 10 0.3× 18 0.7× 23 1.8× 61 266
Jin Bae Park South Korea 4 74 0.4× 188 1.5× 157 3.9× 16 0.6× 91 7.0× 8 361
Onur Kaya Türkiye 10 274 1.6× 245 1.9× 13 0.3× 11 0.4× 44 3.4× 35 380
Wenyin Fu United States 9 94 0.5× 151 1.2× 8 0.2× 9 0.3× 18 1.4× 16 287
Daniel Wolter Germany 4 439 2.5× 349 2.7× 20 0.5× 14 0.5× 9 0.7× 9 482

Countries citing papers authored by A. L. Reznik

Since Specialization
Citations

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

Fields of papers citing papers by A. L. Reznik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. L. Reznik

This figure shows the co-authorship network connecting the top 25 collaborators of A. L. Reznik. A scholar is included among the top collaborators of A. L. Reznik 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 A. L. Reznik. A. L. Reznik 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.
Reznik, A. L., et al.. (2024). First‐Principles Calculation of Basic Properties of Rhombohedral Hafnium Oxide with Space Group R3. physica status solidi (b). 262(3). 1 indexed citations
2.
Reznik, A. L. & Alexander Soloviev. (2024). Software-Analytical Calculation of Invariant Characteristics of Random Point Images Based on Order Statistics. Pattern Recognition and Image Analysis. 34(3). 379–384.
3.
Reznik, A. L. & А. А. Соловьев. (2024). Comparative Analysis Multistage Algorithms for the Localization of Random Pulsed-Point Sources by Efficiency. Optoelectronics Instrumentation and Data Processing. 60(3). 372–379.
4.
Reznik, A. L. & Alexander Soloviev. (2023). Methods, algorithms and programs of computer algebra in problems of registration and analysis of random point structures. Computer Optics. 47(6). 1011–1017. 1 indexed citations
5.
Reznik, A. L. & Alexander Soloviev. (2022). Software and Combinatorial-Probabilistic Tools for the Analysis of Random Point Structures. Pattern Recognition and Image Analysis. 32(3). 636–638. 2 indexed citations
6.
Reznik, A. L., et al.. (2021). On the statistics of anomalous clumps in random point images. 246–251. 1 indexed citations
7.
Reznik, A. L., et al.. (2020). Localization of Random Pulse Point Sources Using Physically Implementable Search Algorithms. Optoelectronics Instrumentation and Data Processing. 56(6). 598–607. 2 indexed citations
8.
Reznik, A. L., et al.. (2019). Time-optimal algorithms focused on the search for random pulsed-point sources. Computer Optics. 43(4). 5 indexed citations
9.
Reznik, A. L., et al.. (2019). Optimal Search Parameters for A Random Pulsed-Point Source with the Required Accuracy. International Journal of Innovative Technology and Exploring Engineering. 9(1). 2340–2344.
10.
Reznik, A. L., et al.. (2018). Algorithms for Optimal Localization of a Random Point-Pulse Source Uniformly Distributed over a Search Interval. Pattern Recognition and Image Analysis. 28(2). 354–361. 1 indexed citations
11.
Reznik, A. L., et al.. (2017). Time-Optimal algorithms of searching for pulsed-point sources for systems with several detectors. Optoelectronics Instrumentation and Data Processing. 53(3). 203–209. 2 indexed citations
12.
Reznik, A. L., et al.. (2015). On the reliable readout of random discrete-point structures. Pattern Recognition and Image Analysis. 25(1). 84–88. 5 indexed citations
13.
Reznik, A. L., et al.. (2014). Reliability of readout of random point fields with a limited number of threshold levels of the scanning aperture. Optoelectronics Instrumentation and Data Processing. 50(6). 582–588. 4 indexed citations
14.
Reznik, A. L., Marcelo Godoy Simões, Ahmed Al‐Durra, & S. M. Muyeen. (2012). LCL filter design and performance analysis for small wind turbine systems. eSpace (Curtin University). 1–7. 46 indexed citations
15.
Reznik, A. L., et al.. (2012). Errorless readout of random discrete-point fields. Optoelectronics Instrumentation and Data Processing. 48(5). 506–514. 4 indexed citations
16.
Reznik, A. L., et al.. (2011). Computer-analytical calculation of the probability characteristics of readout of random point images. Optoelectronics Instrumentation and Data Processing. 47(1). 7–11. 6 indexed citations
17.
Reznik, A. L., et al.. (2011). Generalized Catalan numbers in problems of processing of random discrete images. Optoelectronics Instrumentation and Data Processing. 47(6). 533–536. 6 indexed citations
18.
Reznik, A. L., et al.. (2010). Sampling functions in nonuniform sampling of a periodic signal. Optoelectronics Instrumentation and Data Processing. 46(6). 521–532. 1 indexed citations
19.
Nitinawarat, Sirin, et al.. (2009). Perfect secrecy, perfect omniscience and steiner tree packing. 52. 1288–1292. 1 indexed citations
20.
Reznik, A. L., et al.. (2007). Optimal signal interpolation using the values of signal and its derivative. Pattern Recognition and Image Analysis. 17(1). 76–78. 1 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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