Janez Demšar
About
In The Last Decade
Janez Demšar
51 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Artificial Intelligence 6.6k
- Computer Vision and Pattern Recognition 2.3k
- Information Systems 1.6k
- Molecular Biology 1.3k
- Computational Theory and Mathematics 1.2k
Countries citing papers authored by Janez Demšar
This map shows the geographic impact of Janez Demšar'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 Janez Demšar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janez Demšar more than expected).
Fields of papers citing papers by Janez Demšar
This network shows the impact of papers produced by Janez Demšar. 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 Janez Demšar. The network helps show where Janez Demšar may publish in the future.
Co-authorship network of co-authors of Janez Demšar
This figure shows the co-authorship network connecting the top 25 collaborators of Janez Demšar. A scholar is included among the top collaborators of Janez Demšar 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 Janez Demšar. Janez Demšar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 24 | |
| 4 | 61 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | Interactive network exploration with Orange | 7 |
| 8 | Orange: data mining toolbox in python breakdown → | 1239 |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 54 | |
| 12 | Statistical Comparisons of Classifiers over Multiple Data Sets breakdown → | 8577 |
| 13 | 6 | |
| 14 | 82 | |
| 15 | 98 | |
| 16 | 38 | |
| 17 | Induction of Concept Hierarchies from Noisy Data | 1 |
| 18 | 46 | |
| 19 | 44 | |
| 20 | Machine Learning by Function Decomposition | 40 |
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.