А. В. Гаврилов
- Electrical and Electronic Engineering
- Atmospheric Science top 10%
- Environmental Chemistry top 5%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- N. N. RomanovskiiH.‐W. HubbertenG. S. TipenkoYoung-Koo LeeS. N. SmetaninSungyoung LeeVladimir TumskoyTasoltan T. Basiev
- Topics
- Solid State Laser Technologies (27 papers)Laser Design and Applications (19 papers)Photorefractive and Nonlinear Optics (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingMuscle & Nerve
- Partner nations
- RussiaUnited StatesSouth Korea
In The Last Decade
А. В. Гаврилов
114 papers receiving 761 citations
Peers
Comparison fields: 5 of 105
- Electrical and Electronic Engineering 296
- Atmospheric Science 251
- Environmental Chemistry 224
- Atomic and Molecular Physics, and Optics 141
- Computer Vision and Pattern Recognition 104
Countries citing papers authored by А. В. Гаврилов
This map shows the geographic impact of А. В. Гаврилов'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 А. В. Гаврилов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites А. В. Гаврилов more than expected).
Fields of papers citing papers by А. В. Гаврилов
This network shows the impact of papers produced by А. В. Гаврилов. 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 А. В. Гаврилов. The network helps show where А. В. Гаврилов may publish in the future.
Co-authorship network of co-authors of А. В. Гаврилов
This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Гаврилов. A scholar is included among the top collaborators of А. В. Гаврилов 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 А. В. Гаврилов. А. В. Гаврилов 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | A Novel Hybrid Neural Network for Data Clustering. | 1 |
| 17 | Hybrid Neural Network Model based on Multi-Layer Perceptron and Adaptive Resonance Theory 1 | 1 |
| 18 | 0 | |
| 19 | A combination of neural and semantic networks in natural language processing | 4 |
| 20 | Enviromental evolution in the Laptev Sea region during the Last Pleistocene-Holocene glacial-eustatic cycle | 10 |
About А. В. Гаврилов
А. В. Гаврилов is a scholar working on Geology, Environmental Chemistry and Atomic and Molecular Physics, and Optics, having authored 133 papers that have together received 829 indexed citations. Recurring topics across this work include Solid State Laser Technologies (27 papers), Laser Design and Applications (19 papers) and Photorefractive and Nonlinear Optics (19 papers). The work is most often cited by research in Environmental Chemistry (224 citations), Geology (93 citations) and Atmospheric Science (251 citations). А. В. Гаврилов has collaborated with scholars based in Russia, United States and South Korea. Frequent co-authors include N. N. Romanovskii, H.‐W. Hubberten, G. S. Tipenko, Young-Koo Lee, S. N. Smetanin, Sungyoung Lee, Vladimir Tumskoy, Tasoltan T. Basiev, Uzair Ahmad and Donghai Guan. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Muscle & Nerve.
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.