|
|
Most published authors (scientific articles only) of the journal
|
| 1. |
V. V. Kotlyar |
123 |
| 2. |
A. A. Kovalev |
73 |
| 3. |
S. N. Khonina |
68 |
| 4. |
L. L. Doskolovich |
52 |
| 5. |
A. G. Nalimov |
49 |
| 6. |
S. S. Stafeev |
48 |
| 7. |
N. L. Kazanskii |
45 |
| 8. |
V. V. Myasnikov |
29 |
| 9. |
S. I. Kharitonov |
28 |
| 10. |
R. V. Skidanov |
27 |
| 11. |
A. P. Porfirev |
26 |
| 12. |
S. V. Karpeev |
24 |
| 13. |
D. A. Bykov |
23 |
| 14. |
E. S. Kozlova |
22 |
| 15. |
S. G. Volotovsky |
21 |
| 16. |
A. V. Kupriyanov |
20 |
| 17. |
V. V. Podlipnov |
20 |
| 18. |
Yu. V. Vizilter |
17 |
| 19. |
A. V. Volyar |
17 |
| 20. |
S. A. Degtyarev |
16 |
| 21. |
M. A. Moiseev |
16 |
| 22. |
A. V. Ustinov |
16 |
| 23. |
E. A. Bezus |
15 |
| 24. |
G. I. Greisukh |
15 |
| 25. |
V. S. Pavel'ev |
15 |
| 26. |
V. A. Fursov |
15 |
| 27. |
Ya. E. Akimova |
14 |
| 28. |
A. V. Gaidel |
14 |
| 29. |
M. V. Gashnikov |
14 |
| 30. |
V. V. Sergeev |
14 |
| 31. |
M. V. Bretsko |
13 |
| 32. |
E. V. Byzov |
13 |
| 33. |
A. Yu. Denisova |
13 |
| 34. |
A. V. Nikonorov |
13 |
| 35. |
R. A. Paringer |
13 |
| 36. |
V. M. Chernov |
13 |
| 37. |
V. V. Ivakhnik |
12 |
| 38. |
N. Yu. Ilyasova |
12 |
| 39. |
A. V. Kuznetsov |
12 |
| 40. |
D. P. Nikolaev |
12 |
| 41. |
V. D. Paranin |
12 |
|
20 most published authors of the journal |
|
| Most cited authors of the journal |
| 1. |
N. L. Kazanskii |
654 |
| 2. |
S. N. Khonina |
594 |
| 3. |
V. V. Kotlyar |
577 |
| 4. |
A. A. Kovalev |
307 |
| 5. |
A. G. Nalimov |
291 |
| 6. |
S. I. Kharitonov |
287 |
| 7. |
L. L. Doskolovich |
285 |
| 8. |
S. S. Stafeev |
251 |
| 9. |
V. V. Podlipnov |
232 |
| 10. |
A. V. Kupriyanov |
223 |
| 11. |
R. V. Skidanov |
216 |
| 12. |
V. V. Arlazarov |
205 |
| 13. |
A. V. Volyar |
199 |
| 14. |
A. V. Nikonorov |
196 |
| 15. |
K. B. Bulatov |
183 |
| 16. |
Ya. E. Akimova |
180 |
| 17. |
M. V. Bretsko |
175 |
| 18. |
N. A. Ivliev |
175 |
| 19. |
S. V. Karpeev |
168 |
| 20. |
S. G. Volotovsky |
162 |
| 21. |
V. V. Myasnikov |
162 |
| 22. |
E. S. Kozlova |
154 |
| 23. |
M. A. Butt |
148 |
| 24. |
S. P. Murzin |
145 |
| 25. |
Yu. A. Egorov |
141 |
| 26. |
V. L. Arlazarov |
141 |
| 27. |
D. P. Nikolaev |
137 |
| 28. |
N. Yu. Ilyasova |
136 |
| 29. |
A. P. Porfirev |
132 |
| 30. |
S. A. Degtyarev |
125 |
| 31. |
D. A. Bykov |
124 |
| 32. |
M. A. Moiseev |
122 |
| 33. |
R. A. Paringer |
115 |
| 34. |
V. V. Sergeev |
114 |
| 35. |
A. S. Konushin |
113 |
| 36. |
A. S. Shirokanev |
111 |
| 37. |
K. Choudhary |
108 |
| 38. |
S. A. Bibikov |
106 |
| 39. |
V. A. Fursov |
106 |
| 40. |
Yu. V. Vizilter |
103 |
| 41. |
V. S. Pavel'ev |
103 |
|
20 most cited authors of the journal |
|
| Most cited articles of the journal |
| 1. |
MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream V. V. Arlazarov, K. B. Bulatov, T. S. Chernov, V. L. Arlazarov Computer Optics, 2019, 43:5, 818–824 |
91 |
| 2. |
Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks N. A. Andriyanov, V. E. Dementiev, A. G. Tashlinskiy Computer Optics, 2022, 46:1, 139–159 |
78 |
| 3. |
Addressed fiber Bragg structures in quasi-distributed microwave-photonic sensor systems O. G. Morozov, A. Zh. Sakhabutdinov Computer Optics, 2019, 43:4, 535–543 |
64 |
| 4. |
Image restoration in diffractive optical systems using deep learning and deconvolution A. V. Nikonorov, M. V. Petrov, S. A. Bibikov, V. V. Kutikova, A. A. Morozov, N. L. Kazanskiy Computer Optics, 2017, 41:6, 875–887 |
64 |
| 5. |
Injectional multilens molding parameters optimization N. L. Kazanskiy, I. S. Stepanenko, A. I. Khaimovich, S. V. Kravchenko, E. V. Byzov, M. A. Moiseev Computer Optics, 2016, 40:2, 203–214 |
62 |
| 6. |
Russian traffic sign images dataset V. I. Shakhuro, A. S. Konushin Computer Optics, 2016, 40:2, 294–300 |
52 |
| 7. |
On the use of a multi-raster input of one-dimensional signals in two-dimensional optical correlators M. S. Kuzmin, V. V. Davydov, S. A. Rogov Computer Optics, 2019, 43:3, 391–396 |
51 |
| 8. |
Hyperspectral image segmentation using dimensionality reduction and classical segmentation approaches E. V. Myasnikov Computer Optics, 2017, 41:4, 564–572 |
50 |
| 9. |
Achievements in the development of plasmonic waveguide sensors for measuring the refractive index N. L. Kazanskiy, M. Butt, S. A. Degtyarev, S. N. Khonina Computer Optics, 2020, 44:3, 295–318 |
48 |
| 10. |
A vector optical vortex generated and focused using a metalens V. V. Kotlyar, A. G. Nalimov Computer Optics, 2017, 41:5, 645–654 |
47 |
| 11. |
Optical elements based on silicon photonics M. Butt, S. N. Khonina, N. L. Kazanskiy Computer Optics, 2019, 43:6, 1079–1083 |
46 |
| 12. |
MIDV-2020: a comprehensive benchmark dataset for identity document analysis K. B. Bulatov, E. V. Emelianova, D. V. Tropin, N. S. Skoryukina, Y. S. Chernyshova, A. V. Sheshkus, S. A. Usilin, Z. Ming, J.-Ch. Burie, M. M. Luqman, V. V. Arlazarov Computer Optics, 2022, 46:2, 252–270 |
42 |
| 13. |
Method for forecasting changes in time series parameters in digital information management systems Yu. A. Kropotov, A. Yu. Proskuryakov, A. A. Belov Computer Optics, 2018, 42:6, 1093–1100 |
40 |
| 14. |
Vegetation type recognition in hyperspectral images using a conjugacy indicator S. A. Bibikov, N. L. Kazanskiy, V. A. Fursov Computer Optics, 2018, 42:5, 846–854 |
40 |
| 15. |
Modeling the performance of a spaceborne hyperspectrometer based on the Offner scheme N. L. Kazanskiy, S. I. Kharitonov, L. L. Doskolovich, A. V. Pavelev Computer Optics, 2015, 39:1, 70–76 |
40 |
| 16. |
Crop growth monitoring through Sentinel and Landsat data based NDVI time-series M. Boori, K. Choudhary, A. V. Kupriyanov Computer Optics, 2020, 44:3, 409–419 |
37 |
| 17. |
Characteristics of sharp focusing of vortex Laguerre-Gaussian beams D. A. Savelyev, S. N. Khonina Computer Optics, 2015, 39:5, 654–662 |
37 |
| 18. |
Investigation of algorithms for coagulate arrangement in fundus images A. S. Shirokanev, D. V. Kirsh, N. Yu. Ilyasova, A. V. Kupriyanov Computer Optics, 2018, 42:4, 712–721 |
36 |
| 19. |
U-Net-bin: hacking the document image binarization contest P. V. Bezmaternykh, D. A. Ilin, D. P. Nikolaev Computer Optics, 2019, 43:5, 825–832 |
35 |
| 20. |
Reconstruction of anatomical structures using statistical shape modeling N. A. Smelkina, R. N. Kosarev, A. V. Nikonorov, I. M. Bairikov, K. N. Ryabov, E. V. Avdeev, N. L. Kazanskiy Computer Optics, 2017, 41:6, 897–904 |
35 |
| 21. |
Recognition of wavefront aberrations types corresponding to single Zernike functions from the pattern of the point spread function in the focal plane using neural networks I. A. Rodin, S. N. Khonina, P. G. Serafimovich, S. B. Popov Computer Optics, 2020, 44:6, 923–930 |
34 |
| 22. |
Using coupled photonic crystal cavities for increasing of sensor sensitivity A. V. Egorov, N. L. Kazanskiy, P. G. Serafimovich Computer Optics, 2015, 39:2, 158–162 |
33 |
| 23. |
Experimental investigation of the stability of Bessel beams in the atmosphere V. S. Vasilev, A. I. Kapustin, R. V. Skidanov, N. A. Ivliev, V. V. Podlipnov, S. V. Ganchevskaya Computer Optics, 2019, 43:3, 376–384 |
32 |
| 24. |
An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation D. N. Thanh, V. Surya Prasath, N. Son, L. M. Hieu Computer Optics, 2019, 43:2, 251–257 |
31 |
| 25. |
Study of the diffraction grating on a convex surface as a dispersive element S. V. Karpeev, S. N. Khonina, S. I. Kharitonov Computer Optics, 2015, 39:2, 211–217 |
31 |
| 26. |
Complex analysis and monitoring of the environment based on earth sensing data L. I. Lebedev, Yu. V. Yasakov, T. Sh. Utesheva, V. P. Gromov, A. V. Borusyak, V. E. Turlapov Computer Optics, 2019, 43:2, 282–295 |
30 |
| 27. |
Experimental determi-nation of soil moisture on hyperspectral images V. V. Podlipnov, V. N. Shchedrin, A. N. Babichev, S. M. Vasilyev, V. A. Blank Computer Optics, 2018, 42:5, 877–884 |
30 |
| 28. |
Deep learning-based video stream reconstruction in mass-production diffractive optical systems V. V. Evdokimova, M. V. Petrov, M. A. Klyueva, E. Yu. Zybin, V.V. Kosianchuk, I. B. Mishchenko, V. M. Novikov, N. I. Sel'vesyuk, E. I. Ershov, N. A. Ivliev, R. V. Skidanov, N. L. Kazanskiy, A. V. Nikonorov Computer Optics, 2021, 45:1, 130–141 |
29 |
| 29. |
Design, fabrication and investigation of a silicon subwavelength terahertz axicon S. N. Khonina, K. N. Tukmakov, S. A. Degtyarev, А. С. Решетников, V. S. Pavel'ev, B. A. Knyazev, Yu. Yu. Choporova Computer Optics, 2019, 43:5, 756–764 |
29 |
| 30. |
Big data analysis in a geoinformatic problem of short-term traffic flow forecasting based on a k nearest neighbors method A. A. Agafonov, A. S. Yumaganov, V. V. Myasnikov Computer Optics, 2018, 42:6, 1101–1111 |
29 |
| 31. |
Person tracking algorithm based on convolutional neural network for indoor video surveillance R. Bohush, I. Zakharava Computer Optics, 2020, 44:1, 109–116 |
28 |
| 32. |
Human localiztion in video frames using a growing neural gas algorithm and fuzzy inference O. S. Amosov, Yu. S. Ivanov, S. V. Zhiganov Computer Optics, 2017, 41:1, 46–58 |
28 |
| 33. |
Fusion of information from multiple Kinect sensors for 3D object reconstruction A. N. Ruchay, K. A. Dorofeev, V. I. Kolpakov Computer Optics, 2018, 42:5, 898–903 |
27 |
| 34. |
Efficiency of machine learning algorithms and convolutional neural network for detection of pathological changes in MR images of the brain J. D. Agafonova, A. V. Gaidel, P. M. Zelter, A. V. Kapishnikov Computer Optics, 2020, 44:2, 266–273 |
26 |
| 35. |
Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina N. Yu. Ilyasova, A. S. Shirokanev, A. V. Kupriyanov, R. A. Paringer Computer Optics, 2019, 43:2, 304–315 |
25 |
| 36. |
Beyond the light intensity or intensity moments and measurements of the vortex spectrum in complex light beams A. V. Volyar, M. V. Bretsko, Ya. E. Akimova, Yu. A. Egorov Computer Optics, 2018, 42:5, 736–743 |
25 |
| 37. |
Temporal differentiation and integration of 3D optical pulses using phase-shifted Bragg gratings N. V. Golovastikov, D. A. Bykov, L. L. Doskolovich Computer Optics, 2017, 41:1, 13–21 |
25 |
| 38. |
Solving the inverse problem of focusing laser radiation in a plane region using geometrical optics S. I. Kharitonov, L. L. Doskolovich, N. L. Kazanskii Computer Optics, 2016, 40:4, 439–450 |
25 |
| 39. |
Comparative modeling of amplitude and phase
zone plates E. S. Kozlova, V. V. Kotlyar, A. G. Nalimov Computer Optics, 2015, 39:5, 687–693 |
25 |
| 40. |
High-speed format 1000BASE-SX / LX transmission through the atmosphere by vortex beams near IR range with help modified SFP-transmers DEM-310GT S. V. Karpeev, V. V. Podlipnov, N. A. Ivliev, S. N. Khonina Computer Optics, 2020, 44:4, 578–581 |
24 |
| 41. |
Shaping and processing the vortex spectra of singular beams with anomalous orbital angular momentum A. V. Volyar, M. V. Bretsko, Ya. E. Akimova, Yu. A. Egorov Computer Optics, 2019, 43:4, 517–527 |
24 |
| 42. |
A review of methods of embedding information in digital objects for security in the internet of things O. O. Evsyutin, A. S. Kokurina, R. V. Mescheriakov Computer Optics, 2019, 43:1, 137–154 |
24 |
| 43. |
Adaptive interpolation of multidimensional signals for differential compression A. I. Maksimov, M. V. Gashnikov Computer Optics, 2018, 42:4, 679–687 |
24 |
| 44. |
Information technology of early crop identification by using satellite images N. S. Vorobiova, V. V. Sergeev, A. V. Chernov Computer Optics, 2016, 40:6, 929–938 |
24 |
|
20 most cited articles of the journal |
|
| Total publications: |
1232 |
| Scientific articles: |
1219 |
| Authors: |
1621 |
| Citations: |
7380 |
| Cited articles: |
961 |
 |
Impact Factor Web of Science |
|
for 2025:
1.100 |
|
for 2024:
1.200 |
|
for 2023:
1.100 |
 |
Scopus Metrics |
|
2025 |
CiteScore |
3.200 |
|
2025 |
SNIP |
0.636 |
|
2025 |
SJR |
0.280 |
|
2024 |
CiteScore |
3.800 |
|
2024 |
SNIP |
0.710 |
|
2024 |
SJR |
0.265 |
|
2023 |
CiteScore |
4.200 |
|
2023 |
SNIP |
0.575 |
|
2023 |
SJR |
0.251 |
|
2022 |
SJR |
0.321 |
|
2021 |
SJR |
0.508 |
|
2020 |
SJR |
0.491 |
|
2019 |
SJR |
0.586 |
|
2018 |
CiteScore |
2.370 |
|
2018 |
SJR |
0.535 |
|
2017 |
CiteScore |
1.790 |
|
2017 |
SNIP |
1.681 |
|
2017 |
SJR |
0.457 |
|
2016 |
CiteScore |
1.610 |
|
2016 |
SNIP |
1.495 |
|
2016 |
SJR |
0.348 |
|
2015 |
CiteScore |
1.220 |
|
2015 |
SNIP |
1.261 |
|
2015 |
IPP |
1.185 |
|
2015 |
SJR |
0.445 |
|
2014 |
CiteScore |
0.730 |
|
2014 |
SNIP |
0.846 |
|
2014 |
IPP |
0.656 |
|
2014 |
SJR |
0.285 |
|
2013 |
SNIP |
0.397 |
|
2013 |
IPP |
0.341 |
|
2013 |
SJR |
0.198 |
|