Josef Leydold
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Geometry and Topology top 5%
- Statistics and Probability top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Wolfgang HörmannPeter F. StadlerTürker Bı́yı́koğluGerhard DerflingerMarc HellmuthChristoph FlammPierre L’EcuyerTomaž Pisanski
- Topics
- Bayesian Methods and Mixture Models (15 papers)Graph theory and applications (14 papers)Algorithms and Data Compression (10 papers)
In The Last Decade
Josef Leydold
53 papers receiving 861 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 303
- Artificial Intelligence 239
- Geometry and Topology 195
- Statistics and Probability 142
- Statistical and Nonlinear Physics 133
Countries citing papers authored by Josef Leydold
This map shows the geographic impact of Josef Leydold'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 Josef Leydold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Leydold more than expected).
Fields of papers citing papers by Josef Leydold
This network shows the impact of papers produced by Josef Leydold. 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 Josef Leydold. The network helps show where Josef Leydold may publish in the future.
Co-authorship network of co-authors of Josef Leydold
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Leydold. A scholar is included among the top collaborators of Josef Leydold 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 Josef Leydold. Josef Leydold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | Dendrimers are the Unique Chemical Trees with Maximum Spectral Radius | 1 |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 140 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 88 | |
| 17 | 32 | |
| 18 | 20 | |
| 19 | 21 | |
| 20 | 6 |
About Josef Leydold
Josef Leydold is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Numerical Analysis, having authored 54 papers that have together received 955 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Graph theory and applications (14 papers) and Algorithms and Data Compression (10 papers). The work is most often cited by research in Geometry and Topology (195 citations), Computational Theory and Mathematics (303 citations) and Statistics and Probability (142 citations). Josef Leydold has collaborated with scholars based in Austria, Türkiye and Germany. Frequent co-authors include Wolfgang Hörmann, Peter F. Stadler, Türker Bı́yı́koğlu, Gerhard Derflinger, Marc Hellmuth, Christoph Flamm, Pierre L’Ecuyer, Tomaž Pisanski, Wim Hordijk and Kurt Hornik. Their work appears in journals such as European Journal of Operational Research, Mathematics of Computation and Lecture notes in mathematics.
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.