Matjaž Zaveršnik
About
In The Last Decade
Matjaž Zaveršnik
3 papers receiving 273 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 165
- Artificial Intelligence 98
- Computer Networks and Communications 76
- Information Systems 67
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Matjaž Zaveršnik
This map shows the geographic impact of Matjaž Zaveršnik'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 Matjaž Zaveršnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matjaž Zaveršnik more than expected).
Fields of papers citing papers by Matjaž Zaveršnik
This network shows the impact of papers produced by Matjaž Zaveršnik. 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 Matjaž Zaveršnik. The network helps show where Matjaž Zaveršnik may publish in the future.
Co-authorship network of co-authors of Matjaž Zaveršnik
This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Zaveršnik. A scholar is included among the top collaborators of Matjaž Zaveršnik 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 Matjaž Zaveršnik. Matjaž Zaveršnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 162 | |
| 2 | 33 | |
| 3 | Short Cycles Connectivity | 1 |
| 4 | Generalized Cores | 93 |
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.