Igor V. Guryev

454 total citations
32 papers, 282 citations indexed

About

Igor V. Guryev is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Igor V. Guryev has authored 32 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 20 papers in Electrical and Electronic Engineering and 4 papers in Surfaces, Coatings and Films. Recurrent topics in Igor V. Guryev's work include Photonic Crystal and Fiber Optics (13 papers), Advanced Fiber Laser Technologies (12 papers) and Optical Network Technologies (11 papers). Igor V. Guryev is often cited by papers focused on Photonic Crystal and Fiber Optics (13 papers), Advanced Fiber Laser Technologies (12 papers) and Optical Network Technologies (11 papers). Igor V. Guryev collaborates with scholars based in Mexico, Ukraine and United States. Igor V. Guryev's co-authors include Igor A. Sukhoivanov, José A. Andrade-Lucio, Oleksiy V. Shulika, Leo Mascarenhas, R. Kato, Choo Phei Wee, Thomas G. Keens, Rajkumar Venkatramani, Aliva De and Oscar Ibarra‐Manzano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Applied Physics B.

In The Last Decade

Igor V. Guryev

32 papers receiving 269 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 V. Guryev Mexico 7 198 178 67 44 24 32 282
Myung-Ki Kim South Korea 11 253 1.3× 284 1.6× 226 3.4× 52 1.2× 54 2.3× 15 363
A. Treizebré France 14 124 0.6× 322 1.8× 204 3.0× 15 0.3× 48 2.0× 30 462
Zhu Liu China 7 133 0.7× 131 0.7× 258 3.9× 32 0.7× 17 0.7× 10 356
Salman Noach Israel 10 203 1.0× 287 1.6× 164 2.4× 78 1.8× 11 0.5× 47 416
Andrew Homyk United States 10 87 0.4× 190 1.1× 221 3.3× 18 0.4× 15 0.6× 20 336
Yoshinori Wada Japan 9 92 0.5× 140 0.8× 76 1.1× 32 0.7× 79 3.3× 25 280
X. Chang United States 8 34 0.2× 100 0.6× 86 1.3× 20 0.5× 13 0.5× 31 169
Leonid Shmuylovich United States 12 39 0.2× 177 1.0× 163 2.4× 19 0.4× 18 0.8× 36 499
R. S. Rodrigues Ribeiro Portugal 10 189 1.0× 120 0.7× 224 3.3× 23 0.5× 12 0.5× 30 333
C. Pieralli France 12 68 0.3× 86 0.5× 190 2.8× 9 0.2× 12 0.5× 34 312

Countries citing papers authored by Igor V. Guryev

Since Specialization
Citations

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

Fields of papers citing papers by Igor V. Guryev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor V. Guryev. 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 V. Guryev. The network helps show where Igor V. Guryev may publish in the future.

Co-authorship network of co-authors of Igor V. Guryev

This figure shows the co-authorship network connecting the top 25 collaborators of Igor V. Guryev. A scholar is included among the top collaborators of Igor V. Guryev 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 V. Guryev. Igor V. Guryev 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.
Guryev, Igor V., et al.. (2024). Fault Diagnosis in Induction Motors through Infrared Thermal Images Using Convolutional Neural Network Feature Extraction. Machines. 12(8). 497–497. 9 indexed citations
2.
Guryev, Igor V., et al.. (2023). Unbalance Detection in Induction Motors through Vibration Signals Using Texture Features. Applied Sciences. 13(10). 6137–6137. 3 indexed citations
3.
Guryev, Igor V., et al.. (2021). Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms. Mathematics. 9(19). 2471–2471. 8 indexed citations
4.
Guryev, Igor V., et al.. (2020). Model and technology for prioritizing the implementation end-to-end business processes components of the green economy. Acta Innovations. 65–80. 1 indexed citations
5.
Guryev, Igor V., et al.. (2019). Augmented Reality for Personalized Learning Technique: Climbing Gym Case Study. SHILAP Revista de lepidopterología. 2(2). 21–34. 1 indexed citations
6.
Sukhoivanov, Igor A., et al.. (2016). Numerical analysis of supercontinuum generation in photonic-crystal fibers with zero dispersion wavelengths in telecommunication windows. Optik. 127(22). 10981–10990. 2 indexed citations
7.
Andrade-Lucio, José A., et al.. (2015). Numerical study of photonic crystal fiber with ultra-flattened chromatic dispersion in anomalous and normal dispersion regimes. Optik. 126(13). 1307–1311. 5 indexed citations
8.
Sukhoivanov, Igor A., et al.. (2015). Numerical Study of Highly Nonlinear Photonic Crystal Fiber with Tunable Zero Dispersion Wavelengths. Journal of Electromagnetic Analysis and Application. 7(5). 141–151. 4 indexed citations
9.
Sukhoivanov, Igor A., et al.. (2015). Formation of ultrashort parabolic pulses via passive nonlinear reshaping in normal dispersive optical fibers at 1550 nm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9586. 95860C–95860C. 1 indexed citations
10.
Sukhoivanov, Igor A., et al.. (2014). Nonlinear Pulse Reshaping in Optical Fibers. Latin America Optics and Photonics Conference. LM3C.4–LM3C.4. 1 indexed citations
11.
Shulika, Oleksiy V., et al.. (2013). Numerical study of few-cycle pulses generation from supercontinuum in ANDi-PCF. Acta Universitaria. 23. 40–44. 3 indexed citations
12.
Shulika, Oleksiy V., et al.. (2013). Graphics processing unit–accelerated finite-difference time-domain method for characterization of photonic crystal fibers. Optical Engineering. 52(12). 126109–126109. 4 indexed citations
13.
Guryev, Igor V., et al.. (2012). All-optical flip-flop in wideband PhC-based filter with Kerr saturable nonlinearity. Applied Physics B. 106(3). 645–651. 1 indexed citations
14.
Sukhoivanov, Igor A., et al.. (2012). Nonlinear pulse reshaping in passive optical fibers towards quasi-parabolic waveforms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8255. 825526–825526. 2 indexed citations
15.
Sukhoivanov, Igor A., et al.. (2011). Formation of parabolic optical pulses in passive optical fibers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8011. 801131–801131. 3 indexed citations
16.
Guryev, Igor V., Igor A. Sukhoivanov, M. Trejo‐Durán, et al.. (2006). Analysis of integrated optics elements based on photonic crystals. Revista Mexicana de Física. 52(5). 453–458. 3 indexed citations
17.
Guryev, Igor V., et al.. (2006). Improvement of characterization accuracy of the nonlinear photonic crystals using finite elements-iterative method. Applied Physics B. 84(1-2). 83–87. 6 indexed citations
18.
Guryev, Igor V. & Igor A. Sukhoivanov. (2006). The Accurate Parameters Fitting of the Nonlinear 1D Photonic Crystal for Effective Optical Power Limiting. 407–410. 2 indexed citations
19.
Guryev, Igor V., et al.. (2005). Theoretical investigations of one-dimensinal photonic crystal with Kerr nonlinearities. 146–148. 1 indexed citations
20.
Guryev, Igor V., et al.. (2004). Validity of the effective index model fop. analisys of photonic crystal fibers. 182–184. 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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