Igor P. Gurov
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Mechanical Engineering
- Co-authors
- М. В. ВолковPetr HlubinaA. V. PotemkinAlexei A. KamshilinOleg V. MamontovPietro FerraroSergio De NicolaViktor Dremin
- Topics
- Optical measurement and interference techniques (34 papers)Optical Coherence Tomography Applications (29 papers)Photoacoustic and Ultrasonic Imaging (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of the Optical Society of America A
In The Last Decade
Igor P. Gurov
67 papers receiving 385 citations
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 219
- Computer Vision and Pattern Recognition 159
- Radiology, Nuclear Medicine and Imaging 82
- Electrical and Electronic Engineering 80
- Mechanical Engineering 62
Countries citing papers authored by Igor P. Gurov
This map shows the geographic impact of Igor P. Gurov'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 P. Gurov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor P. Gurov more than expected).
Fields of papers citing papers by Igor P. Gurov
This network shows the impact of papers produced by Igor P. Gurov. 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 P. Gurov. The network helps show where Igor P. Gurov may publish in the future.
Co-authorship network of co-authors of Igor P. Gurov
This figure shows the co-authorship network connecting the top 25 collaborators of Igor P. Gurov. A scholar is included among the top collaborators of Igor P. Gurov 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 P. Gurov. Igor P. Gurov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 48 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | THE RECURRENT ALGORITHM FOR INTERFEROMETRIC SIGNALS PROCESSING BASED ON MULTI-CLOUD PREDICTION MODEL | 1 |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | Determination of phase characteristics of an interference pattern by the method of nonlinear Markov filtering | 2 |
| 19 | 1 | |
| 20 | Interference methods and devices of lens centering control | 1 |
About Igor P. Gurov
Igor P. Gurov is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Biomedical Engineering, having authored 81 papers that have together received 419 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (34 papers), Optical Coherence Tomography Applications (29 papers) and Photoacoustic and Ultrasonic Imaging (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Media Technology (50 citations) and Biomedical Engineering (219 citations). Igor P. Gurov has collaborated with scholars based in Russia, Czechia and Finland. Frequent co-authors include М. В. Волков, Petr Hlubina, A. V. Potemkin, Alexei A. Kamshilin, Oleg V. Mamontov, Pietro Ferraro, Sergio De Nicola, Viktor Dremin, Evgeny Zherebtsov and Andrey Dunaev. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the Optical Society of America A.
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.