Dima Bykhovsky

693 total citations
42 papers, 424 citations indexed

About

Dima Bykhovsky is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dima Bykhovsky has authored 42 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dima Bykhovsky's work include Optical Wireless Communication Technologies (15 papers), Optical Network Technologies (10 papers) and Semiconductor Lasers and Optical Devices (6 papers). Dima Bykhovsky is often cited by papers focused on Optical Wireless Communication Technologies (15 papers), Optical Network Technologies (10 papers) and Semiconductor Lasers and Optical Devices (6 papers). Dima Bykhovsky collaborates with scholars based in Israel, China and France. Dima Bykhovsky's co-authors include Shlomi Arnon, Mordechai Guri, Arnon D. Cohen, M. Auslender, S. Tapuchi, Debbie Kedar, Xiaoying Zheng, Yongxin Zhu, V. Lyandres and Michael Rosenblit and has published in prestigious journals such as Analytical Chemistry, Optics Letters and Optics Express.

In The Last Decade

Dima Bykhovsky

40 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dima Bykhovsky Israel 10 282 67 64 44 42 42 424
Philipp Zhang United States 12 283 1.0× 146 2.2× 119 1.9× 22 0.5× 31 0.7× 48 475
Dan Komosný Czechia 11 264 0.9× 29 0.4× 31 0.5× 104 2.4× 36 0.9× 48 439
Yintong Wang China 9 90 0.3× 85 1.3× 16 0.3× 100 2.3× 72 1.7× 29 380
Jinlong Peng China 9 123 0.4× 182 2.7× 12 0.2× 95 2.2× 35 0.8× 15 367
Mujahid Mohsin Pakistan 9 101 0.4× 35 0.5× 64 1.0× 71 1.6× 68 1.6× 16 348
Yu Nakayama Japan 14 495 1.8× 36 0.5× 24 0.4× 35 0.8× 63 1.5× 122 667
M. S. Alam United States 13 351 1.2× 95 1.4× 28 0.4× 27 0.6× 175 4.2× 98 567
Kasmiran Jumari Malaysia 13 338 1.2× 93 1.4× 101 1.6× 32 0.7× 21 0.5× 130 621
Jia He China 8 299 1.1× 33 0.5× 26 0.4× 56 1.3× 152 3.6× 22 443

Countries citing papers authored by Dima Bykhovsky

Since Specialization
Citations

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

Fields of papers citing papers by Dima Bykhovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dima Bykhovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Dima Bykhovsky. A scholar is included among the top collaborators of Dima Bykhovsky 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 Dima Bykhovsky. Dima Bykhovsky 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.
Bykhovsky, Dima, et al.. (2025). Deep Learning-Based Energy Spectrum Estimation for High Counting Rate Nuclear Spectrometry. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
Zheng, Xiaoying, et al.. (2025). Deep Learning Based Pile-Up Correction Algorithm for Spectrometric Data Under High-Count-Rate Measurements. Sensors. 25(5). 1464–1464. 1 indexed citations
3.
Bykhovsky, Dima, et al.. (2025). Advanced Spectroscopy Time-Domain Signal Simulator for the Development of Machine and Deep Learning Algorithms. IEEE Sensors Letters. 9(4). 1–4. 2 indexed citations
4.
Bykhovsky, Dima, et al.. (2025). GaSim: A python class to generate simulated time signals for gamma spectroscopy. SoftwareX. 29. 102037–102037. 2 indexed citations
5.
6.
Bykhovsky, Dima, et al.. (2024). Convolutional neural network deep learning model accurately detects rectal cancer in endoanal ultrasounds. Techniques in Coloproctology. 28(1). 44–44. 1 indexed citations
7.
Bykhovsky, Dima, et al.. (2024). Deep Learning-Based Method for Activity Estimation From Short-Duration Gamma Spectroscopy Recordings. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 5 indexed citations
8.
Bykhovsky, Dima, et al.. (2024). Sound Analysis of Drop Characteristics by Evaluation of Impact on Water Pool. 144–148. 1 indexed citations
9.
Bykhovsky, Dima, et al.. (2023). Passive Fingerprinting of Same-Model Electrical Devices by Current Consumption. Sensors. 23(1). 533–533. 2 indexed citations
10.
Bykhovsky, Dima, et al.. (2022). Electrical Equipment Fingerprinting with Electrical Network Current Consumption. 1 indexed citations
11.
Bykhovsky, Dima. (2019). Recording device identification by ENF harmonics power analysis. Forensic Science International. 307. 110100–110100. 15 indexed citations
12.
Bykhovsky, Dima. (2019). Symbol error rate of soft-decision multiple pulse position modulation over turbulent channels. Applied Optics. 58(4). 1193–1193. 1 indexed citations
13.
Bykhovsky, Dima & V. Lyandres. (2017). On the numerical generation of positive-axis-defined distributions with an exponential autocorrelation function. Digital Signal Processing. 77. 43–47. 2 indexed citations
14.
15.
Bykhovsky, Dima, et al.. (2016). Coding performance of non-interleaved non-memoryless optical wireless channels. 51. 1–4. 2 indexed citations
16.
Bykhovsky, Dima. (2016). Simple Generation of Gamma, Gamma–Gamma, and K Distributions With Exponential Autocorrelation Function. Journal of Lightwave Technology. 34(9). 2106–2110. 39 indexed citations
17.
Bykhovsky, Dima & Shlomi Arnon. (2015). OFDM Allocation Optimization for Crosstalk Mitigation in Multiple Free-Space Optical Interconnection Links. Journal of Lightwave Technology. 33(13). 2777–2783. 13 indexed citations
18.
Bykhovsky, Dima & Shlomi Arnon. (2014). An Experimental Comparison of Different Bit-and-Power-Allocation Algorithms for DCO-OFDM. Journal of Lightwave Technology. 32(8). 1559–1564. 39 indexed citations
19.
Bykhovsky, Dima, et al.. (2013). Evaluation of the estimation accuracy of polarization-based roll angle measurement. Applied Optics. 52(21). 5158–5158. 6 indexed citations
20.
Bykhovsky, Dima & Shlomi Arnon. (2012). Design and Simulation of Optical Unguided Bus Interconnect. IEEE Photonics Technology Letters. 24(15). 1353–1355. 6 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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