Dmitry Bratanov
Impact in
-
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Ecology top 10%
- Remote Sensing in Agriculture
- Coral and Marine Ecosystems Studies
Papers in
- Ecology 5
- Remote Sensing in Agriculture 3
- Forest Insect Ecology and Management 2
-
- Photoreceptor and optogenetics research 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Felipé Gonzalez (5 shared papers)K.S. Powell (4 shared papers)John Weiss (3 shared papers)Fernando Vanegas (3 shared papers)Kevin J. Gaston (1 shared paper)M. A. Parsons (1 shared paper)Valentin Borshchevskiy (3 shared papers)Valentin Gordeliy (4 shared papers)
In The Last Decade
Dmitry Bratanov
13 papers receiving 391 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 93
- Ecology 127
- Ecological Modeling 17
- Environmental Engineering 56
- Media Technology 28
Countries citing papers authored by Dmitry Bratanov
This map shows the geographic impact of Dmitry Bratanov'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 Dmitry Bratanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Bratanov more than expected).
Fields of papers citing papers by Dmitry Bratanov
This network shows the impact of papers produced by Dmitry Bratanov. 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 Dmitry Bratanov. The network helps show where Dmitry Bratanov may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Bratanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 162 | |
| 2 | 2019 | 64 | |
| 3 | 2018 | 60 | |
| 4 | 2022 | 34 | |
| 5 | 2015 | 22 | |
| 6 | 2017 | 13 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 2 | |
| 14 | Phylloxera: Improving pest surveillance in vineyards through drones, hyperspectral and spatial data | 2018 | 0 |
About Dmitry Bratanov
Dmitry Bratanov is a scholar working on Ecology, Cellular and Molecular Neuroscience, Aerospace Engineering, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 399 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Photoreceptor and optogenetics research (4 papers), Remote Sensing in Agriculture (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Remote Sensing and LiDAR Applications (2 papers), Forest Insect Ecology and Management (2 papers), Robotic Path Planning Algorithms (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (93 citations), Ecology (127 citations), Ecological Modeling (17 citations), Environmental Engineering (56 citations) and Media Technology (28 citations). Dmitry Bratanov has collaborated with scholars based in Australia, Germany and Russia. Frequent co-authors include Felipé Gonzalez, K.S. Powell, John Weiss, Fernando Vanegas, Kevin J. Gaston, M. A. Parsons, Valentin Borshchevskiy, Valentin Gordeliy, Taras Balandin and Ivan Gushchin. Their work appears in journals such as Sensors, International Journal of Applied Earth Observation and Geoinformation, IEEE Aerospace and Electronic Systems Magazine, Nature Structural & Molecular Biology and Journal of Intelligent & Robotic Systems.
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.