Alexander Golynski
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Signal Processing
- Co-authors
- Srinivasa Rao SattiJ. Ian MunroAlejandro López-OrtízJérémy BarbayClaude-Guy QuimperAngèle M. HamelMichael AlbertPeter van Beek
- Topics
- Algorithms and Data Compression (8 papers)DNA and Biological Computing (3 papers)Error Correcting Code Techniques (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Alexander Golynski
14 papers receiving 221 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 187
- Computer Networks and Communications 89
- Computational Theory and Mathematics 59
- Molecular Biology 55
- Signal Processing 41
Countries citing papers authored by Alexander Golynski
This map shows the geographic impact of Alexander Golynski'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 Golynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Golynski more than expected).
Fields of papers citing papers by Alexander Golynski
This network shows the impact of papers produced by Alexander Golynski. 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 Golynski. The network helps show where Alexander Golynski may publish in the future.
Co-authorship network of co-authors of Alexander Golynski
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Golynski. A scholar is included among the top collaborators of Alexander Golynski 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 Golynski. Alexander Golynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Zanzibar: Google's consistent, global authorization system | 12 |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 33 | |
| 7 | 22 | |
| 8 | Upper and Lower Bounds for Text Indexing Data Structures | 5 |
| 9 | 75 | |
| 10 | 23 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | Improved algorithms for the global cardinality constraint | 2 |
| 14 | Curves of Width One and the River Shore Problem | 2 |
About Alexander Golynski
Alexander Golynski is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 233 indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), DNA and Biological Computing (3 papers) and Error Correcting Code Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Hardware and Architecture (35 citations) and Computational Mathematics (3 citations). Alexander Golynski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Srinivasa Rao Satti, J. Ian Munro, Alejandro López-Ortíz, Jérémy Barbay, Claude-Guy Quimper, Angèle M. Hamel, Michael Albert, Peter van Beek, Alessio Orlandi and Rajeev Raman. Their work appears in journals such as Theoretical Computer Science, Algorithmica and Constraints.
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.