Jan Martinovič
About
In The Last Decade
Jan Martinovič
79 papers receiving 378 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 109
- Computer Networks and Communications 82
- Information Systems 62
- Molecular Biology 45
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Jan Martinovič
This map shows the geographic impact of Jan Martinovič'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 Jan Martinovič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Martinovič more than expected).
Fields of papers citing papers by Jan Martinovič
This network shows the impact of papers produced by Jan Martinovič. 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 Jan Martinovič. The network helps show where Jan Martinovič may publish in the future.
Co-authorship network of co-authors of Jan Martinovič
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Martinovič. A scholar is included among the top collaborators of Jan Martinovič 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 Jan Martinovič. Jan Martinovič 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 | 20 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping | 3 |
| 12 | Unsupervised Algorithm for Post-Processing of Roughly Segmented Categorical Time Series | 1 |
| 13 | Dynamic Time Warping in Analysis of Student Behavioral Patterns | 3 |
| 14 | Combined Method for Effective Clustering based on Parallel SOM and Spectral Clustering. | 3 |
| 15 | Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm. | 0 |
| 16 | Using SVM and Clustering Algorithmsin IDS Systems. | 2 |
| 17 | 1 | |
| 18 | Vector model improvement by FCA and Topic Evolution | 6 |
| 19 | Creating of Conceptual Lattices using Multilayer Perceptron | 2 |
| 20 | Query Expansion and Evolution of Topic in Information Retrieval Systems. | 7 |
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.