Alexander A. Davydov
- Artificial Intelligence top 5%
- Discrete Mathematics and Combinatorics top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 10%
- Geometry and Topology top 10%
- Co-authors
- Fernanda PambiancoStefano MarcuginiGiorgio FainaPatric R. J. ÖstergårdMassimo GiuliettiDaniele BartoliE.M. GabidulinБ. Н. Четверушкин
- Topics
- Coding theory and cryptography (59 papers)graph theory and CDMA systems (45 papers)Finite Group Theory Research (43 papers)
- Cited by
- Discrete Mathematics and CombinatoricsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Information TheorySIAM Journal on Control and Optimization
- Partner nations
- RussiaItalyUnited States
In The Last Decade
Alexander A. Davydov
73 papers receiving 531 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 458
- Discrete Mathematics and Combinatorics 390
- Electrical and Electronic Engineering 345
- Computer Networks and Communications 122
- Geometry and Topology 41
Countries citing papers authored by Alexander A. Davydov
This map shows the geographic impact of Alexander A. Davydov'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 Alexander A. Davydov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander A. Davydov more than expected).
Fields of papers citing papers by Alexander A. Davydov
This network shows the impact of papers produced by Alexander A. Davydov. 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 Alexander A. Davydov. The network helps show where Alexander A. Davydov may publish in the future.
Co-authorship network of co-authors of Alexander A. Davydov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander A. Davydov. A scholar is included among the top collaborators of Alexander A. Davydov 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 Alexander A. Davydov. Alexander A. Davydov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | New upper bounds on the smallest size of a complete cap in the space PG(3, q) | 5 |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 8 |
About Alexander A. Davydov
Alexander A. Davydov is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computer Networks and Communications, having authored 79 papers that have together received 577 indexed citations. Recurring topics across this work include Coding theory and cryptography (59 papers), graph theory and CDMA systems (45 papers) and Finite Group Theory Research (43 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (390 citations), Artificial Intelligence (458 citations) and Electrical and Electronic Engineering (345 citations). Alexander A. Davydov has collaborated with scholars based in Russia, Italy and United States. Frequent co-authors include Fernanda Pambianco, Stefano Marcugini, Giorgio Faina, Patric R. J. Östergård, Massimo Giulietti, Daniele Bartoli, E.M. Gabidulin, Б. Н. Четверушкин, Anton V. Proskurnikov and Francesco Bullo. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and SIAM Journal on Control and Optimization.
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.