Alexander Hulpke
- Discrete Mathematics and Combinatorics top 5%
- Artificial Intelligence top 10%
- Geometry and Topology top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- John H. ConwayJohn McKayPatric R. J. ÖstergårdPetteri KaskiMichael I. HartleyÁkos SeressDane FlannerySteve Linton
- Topics
- Finite Group Theory Research (27 papers)Coding theory and cryptography (15 papers)Geometric and Algebraic Topology (10 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Alexander Hulpke
25 papers receiving 206 citations
Peers
Comparison fields: 5 of 23
- Discrete Mathematics and Combinatorics 146
- Artificial Intelligence 121
- Geometry and Topology 104
- Electrical and Electronic Engineering 84
- Computational Theory and Mathematics 53
Countries citing papers authored by Alexander Hulpke
This map shows the geographic impact of Alexander Hulpke'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 Hulpke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hulpke more than expected).
Fields of papers citing papers by Alexander Hulpke
This network shows the impact of papers produced by Alexander Hulpke. 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 Hulpke. The network helps show where Alexander Hulpke may publish in the future.
Co-authorship network of co-authors of Alexander Hulpke
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Hulpke. A scholar is included among the top collaborators of Alexander Hulpke 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 Hulpke. Alexander Hulpke 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 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 29 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 5 |
About Alexander Hulpke
Alexander Hulpke is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Mathematical Physics, having authored 29 papers that have together received 220 indexed citations. Recurring topics across this work include Finite Group Theory Research (27 papers), Coding theory and cryptography (15 papers) and Geometric and Algebraic Topology (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (146 citations), Geometry and Topology (104 citations) and Algebra and Number Theory (26 citations). Alexander Hulpke has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include John H. Conway, John McKay, Patric R. J. Östergård, Petteri Kaski, Michael I. Hartley, Ákos Seress, Dane Flannery, Steve Linton, C. M. Campbell and Edmund F. Robertson. Their work appears in journals such as Mathematics of Computation, Journal of Algebra and Journal of Symbolic Computation.
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.