A. V. Emelyanov
-
- Neuroscience and Neural Engineering 42
- Photoreceptor and optogenetics research 29
-
- Advanced Memory and Neural Computing 70
- Ferroelectric and Negative Capacitance Devices 13
- Polymers and Plastics top 5%
- Conducting polymers and applications 11
- Transition Metal Oxide Nanomaterials 10
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 15
-
- Silicon Nanostructures and Photoluminescence 13
- Co-authors
- В. А. ДеминV. V. RylkovП. К. КашкаровK. E. NikiruyM. V. KovalchukVictor ErokhinА. В. СитниковА. А. Миннеханов
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- SHILAP Revista de lepidopterología (3 papers)Applied Physics Letters (4 papers)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- RussiaItalyUnited Kingdom
In The Last Decade
A. V. Emelyanov
93 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 665
- Electrical and Electronic Engineering 1.2k
- Polymers and Plastics 262
- Cognitive Neuroscience 306
- Statistical and Nonlinear Physics 66
Countries citing papers authored by A. V. Emelyanov
This map shows the geographic impact of A. V. Emelyanov'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 A. V. Emelyanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. V. Emelyanov more than expected).
Fields of papers citing papers by A. V. Emelyanov
This network shows the impact of papers produced by A. V. Emelyanov. 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 A. V. Emelyanov. The network helps show where A. V. Emelyanov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. V. Emelyanov, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 6 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 20 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 68 | |
| 20 | 2018 | 51 |
About A. V. Emelyanov
A. V. Emelyanov is a scholar working on Cellular and Molecular Neuroscience, Nuclear Energy and Engineering and Electrical and Electronic Engineering, having authored 103 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (70 papers), Neuroscience and Neural Engineering (42 papers), Photoreceptor and optogenetics research (29 papers), Neural dynamics and brain function (15 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Silicon Nanostructures and Photoluminescence (13 papers), Conducting polymers and applications (11 papers) and Transition Metal Oxide Nanomaterials (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (665 citations), Electrical and Electronic Engineering (1.2k citations) and Polymers and Plastics (262 citations). A. V. Emelyanov has collaborated with scholars based in Russia, Italy and United Kingdom. Frequent co-authors include В. А. Демин, V. V. Rylkov, П. К. Кашкаров, K. E. Nikiruy, M. V. Kovalchuk, Victor Erokhin, А. В. Ситников, А. А. Миннеханов, Dmitry Lapkin and П. А. Форш. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.
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.