G.L. Ebert
- Discrete Mathematics and Combinatorics top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Co-authors
- R. D. BakerAntonio CossidenteJ. W. P. HirschfeldGábor KorchmárosGiuseppe MarinoTamás SzőnyiKlaus MetschAndrew J. Woldar
- Topics
- Finite Group Theory Research (27 papers)Coding theory and cryptography (25 papers)graph theory and CDMA systems (20 papers)
- Journals
- Discrete MathematicsJournal of the London Mathematical SocietyJournal of Statistical Planning and Inference
- Partner nations
- United StatesItalyAustralia
In The Last Decade
G.L. Ebert
34 papers receiving 286 citations
Peers
Comparison fields: 5 of 32
- Discrete Mathematics and Combinatorics 245
- Artificial Intelligence 219
- Electrical and Electronic Engineering 153
- Geometry and Topology 83
- Mathematical Physics 55
Countries citing papers authored by G.L. Ebert
This map shows the geographic impact of G.L. Ebert'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 G.L. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.L. Ebert more than expected).
Fields of papers citing papers by G.L. Ebert
This network shows the impact of papers produced by G.L. Ebert. 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 G.L. Ebert. The network helps show where G.L. Ebert may publish in the future.
Co-authorship network of co-authors of G.L. Ebert
This figure shows the co-authorship network connecting the top 25 collaborators of G.L. Ebert. A scholar is included among the top collaborators of G.L. Ebert 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 G.L. Ebert. G.L. Ebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | Neue Untersuchungsergebnisse zum Phänomen Schwarze Wohnungen | 2 |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 26 | |
| 16 | 34 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 10 | |
| 20 | 2 |
About G.L. Ebert
G.L. Ebert is a scholar working on Discrete Mathematics and Combinatorics, Computational Mathematics and Artificial Intelligence, having authored 38 papers that have together received 317 indexed citations. Recurring topics across this work include Finite Group Theory Research (27 papers), Coding theory and cryptography (25 papers) and graph theory and CDMA systems (20 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (245 citations), Geometry and Topology (83 citations) and Artificial Intelligence (219 citations). G.L. Ebert has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include R. D. Baker, Antonio Cossidente, J. W. P. Hirschfeld, Gábor Korchmáros, Giuseppe Marino, Tamás Szőnyi, Klaus Metsch, Andrew J. Woldar, Tim Penttila and Ka Hin Leung. Their work appears in journals such as Discrete Mathematics, Journal of the London Mathematical Society and Journal of Statistical Planning and Inference.
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.