Sergey Serebryakov
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Co-authors
- John Paul StrachanCatherine E. GravesCan LiMartin FoltínGiacomo PedrettiXia ShengDejan MilojičićPhil Laplante
- Topics
- Advanced Memory and Neural Computing (7 papers)Peer-to-Peer Network Technologies (5 papers)Ferroelectric and Negative Capacitance Devices (4 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Sergey Serebryakov
25 papers receiving 202 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 96
- Artificial Intelligence 80
- Computer Networks and Communications 35
- Computer Vision and Pattern Recognition 25
- Hardware and Architecture 21
Countries citing papers authored by Sergey Serebryakov
This map shows the geographic impact of Sergey Serebryakov'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 Sergey Serebryakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Serebryakov more than expected).
Fields of papers citing papers by Sergey Serebryakov
This network shows the impact of papers produced by Sergey Serebryakov. 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 Sergey Serebryakov. The network helps show where Sergey Serebryakov may publish in the future.
Co-authorship network of co-authors of Sergey Serebryakov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Serebryakov. A scholar is included among the top collaborators of Sergey Serebryakov 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 Sergey Serebryakov. Sergey Serebryakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 78 | |
| 12 | 24 | |
| 13 | 19 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | Ontology - Based Context - Dependent Personalization Technology. | 2 |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | 5 |
About Sergey Serebryakov
Sergey Serebryakov is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 31 papers that have together received 215 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Peer-to-Peer Network Technologies (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Hardware and Architecture (21 citations), Artificial Intelligence (80 citations) and Electrical and Electronic Engineering (96 citations). Sergey Serebryakov has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include John Paul Strachan, Catherine E. Graves, Can Li, Martin Foltín, Giacomo Pedretti, Xia Sheng, Dejan Milojičić, Phil Laplante, Vladimir Gorodetsky and Thomas Van Vaerenbergh. Their work appears in journals such as Computer, Advanced Electronic Materials and IEEE Internet Computing.
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.