Aleš Žiberna
- Statistical and Nonlinear Physics top 5%
- Sociology and Political Science
- Artificial Intelligence
- Global and Planetary Change
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Paul VedderMitch van GeelAnuška FerligojMitja BrillyVanja ErčuljFranc MaliVasja VehovarNataša Kejžar
- Topics
- Complex Network Analysis Techniques (15 papers)Opinion Dynamics and Social Influence (6 papers)Data Visualization and Analytics (3 papers)
In The Last Decade
Aleš Žiberna
27 papers receiving 244 citations
Peers
Comparison fields: 5 of 87
- Statistical and Nonlinear Physics 93
- Sociology and Political Science 55
- Artificial Intelligence 32
- Global and Planetary Change 23
- Statistics, Probability and Uncertainty 22
Countries citing papers authored by Aleš Žiberna
This map shows the geographic impact of Aleš Žiberna'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 Aleš Žiberna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleš Žiberna more than expected).
Fields of papers citing papers by Aleš Žiberna
This network shows the impact of papers produced by Aleš Žiberna. 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 Aleš Žiberna. The network helps show where Aleš Žiberna may publish in the future.
Co-authorship network of co-authors of Aleš Žiberna
This figure shows the co-authorship network connecting the top 25 collaborators of Aleš Žiberna. A scholar is included among the top collaborators of Aleš Žiberna 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 Aleš Žiberna. Aleš Žiberna 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | Exploring online social support among infertility treatment patients: a text-mining approach. | 3 |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | Evolutionary Reality of the Policy of Revolution in Military Affairs: Results of a Comparative Study | 1 |
| 15 | 31 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 9 | |
| 20 | 12 |
About Aleš Žiberna
Aleš Žiberna is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Public Administration, having authored 31 papers that have together received 267 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Opinion Dynamics and Social Influence (6 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (93 citations), Statistics, Probability and Uncertainty (22 citations) and Communication (20 citations). Aleš Žiberna has collaborated with scholars based in Slovenia, Russia and Norway. Frequent co-authors include Paul Vedder, Mitch van Geel, Anuška Ferligoj, Mitja Brilly, Vanja Erčulj, Franc Mali, Vasja Vehovar, Nataša Kejžar, Andraž Petrovčič and Špela Pezdevšek Malovrh. Their work appears in journals such as PLoS ONE, Scientometrics and Social Networks.
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.