Tony Shaska
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Co-authors
- Jaime GutiérrezVasyl UstimenkoЭмма ПревиатоHelmut VölkleinV. A. UstimenkoKay MagaardW. Cary HuffmanMoshe Jarden
- Topics
- Algebraic Geometry and Number Theory (31 papers)Advanced Algebra and Geometry (15 papers)Coding theory and cryptography (15 papers)
- Journals
- Communications in Mathematical PhysicsProceedings of the American Mathematical SocietyLinear Algebra and its Applications
- Partner nations
- United StatesAlbaniaPoland
In The Last Decade
Tony Shaska
42 papers receiving 243 citations
Peers
Comparison fields: 5 of 21
- Geometry and Topology 204
- Mathematical Physics 107
- Artificial Intelligence 101
- Computational Theory and Mathematics 75
- Information Systems 51
Countries citing papers authored by Tony Shaska
This map shows the geographic impact of Tony Shaska'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 Tony Shaska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Shaska more than expected).
Fields of papers citing papers by Tony Shaska
This network shows the impact of papers produced by Tony Shaska. 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 Tony Shaska. The network helps show where Tony Shaska may publish in the future.
Co-authorship network of co-authors of Tony Shaska
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Shaska. A scholar is included among the top collaborators of Tony Shaska 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 Tony Shaska. Tony Shaska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | On the automorphism groups of some AG-codes based on C_{a,b} curves | 0 |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | Computational aspects of algebraic curves, University of Idaho, USA 26-28 May 2005 | 1 |
| 20 | 13 |
About Tony Shaska
Tony Shaska is a scholar working on Geometry and Topology, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 45 papers that have together received 264 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (31 papers), Advanced Algebra and Geometry (15 papers) and Coding theory and cryptography (15 papers). The work is most often cited by research in Geometry and Topology (204 citations), Mathematical Physics (107 citations) and Discrete Mathematics and Combinatorics (33 citations). Tony Shaska has collaborated with scholars based in United States, Albania and Poland. Frequent co-authors include Jaime Gutiérrez, Vasyl Ustimenko, Эмма Превиато, Helmut Völklein, V. A. Ustimenko, Kay Magaard, W. Cary Huffman, Moshe Jarden, David Joyner and Quanlong Wang. Their work appears in journals such as Communications in Mathematical Physics, Proceedings of the American Mathematical Society and Linear Algebra and its Applications.
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.