Robert Ganian
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Economics and Econometrics
- Management Science and Operations Research
- Co-authors
- Sebastian OrdyniakPetr HliněnýStefan SzeiderJan ÓbdržálekM. S. RamanujanDušan KnopPeter RossmanithJoachim Kneis
- Topics
- Advanced Graph Theory Research (46 papers)Complexity and Algorithms in Graphs (27 papers)Formal Methods in Verification (16 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsComputer Networks and Communications
- Journals
- Artificial IntelligenceJournal of Computer and System SciencesJournal of Artificial Intelligence Research
- Partner nations
- AustriaUnited KingdomCzechia
In The Last Decade
Robert Ganian
60 papers receiving 262 citations
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 203
- Computer Networks and Communications 71
- Artificial Intelligence 56
- Economics and Econometrics 39
- Management Science and Operations Research 28
Countries citing papers authored by Robert Ganian
This map shows the geographic impact of Robert Ganian'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 Robert Ganian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ganian more than expected).
Fields of papers citing papers by Robert Ganian
This network shows the impact of papers produced by Robert Ganian. 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 Robert Ganian. The network helps show where Robert Ganian may publish in the future.
Co-authorship network of co-authors of Robert Ganian
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Ganian. A scholar is included among the top collaborators of Robert Ganian 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 Robert Ganian. Robert Ganian 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 24 | |
| 20 | Automata Approach to Graphs of Bounded Rank-width | 3 |
About Robert Ganian
Robert Ganian is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 70 papers that have together received 276 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (46 papers), Complexity and Algorithms in Graphs (27 papers) and Formal Methods in Verification (16 papers). The work is most often cited by research in Computational Theory and Mathematics (203 citations), Discrete Mathematics and Combinatorics (17 citations) and Computer Networks and Communications (71 citations). Robert Ganian has collaborated with scholars based in Austria, United Kingdom and Czechia. Frequent co-authors include Sebastian Ordyniak, Petr Hliněný, Stefan Szeider, Jan Óbdržálek, M. S. Ramanujan, Dušan Knop, M. S. Ramanujan, Peter Rossmanith, Joachim Kneis and Friedrich Slivovsky. Their work appears in journals such as Artificial Intelligence, Journal of Computer and System Sciences and Journal of Artificial Intelligence Research.
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.