Gregor Leban
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Blaž ZupanJanez DemšarIvan BratkoMarko GrobelnikBlaž FortunaJanez BrankTomaž CurkUroš Petrovič
- Topics
- Gene expression and cancer classification (6 papers)Bioinformatics and Genomic Networks (4 papers)Natural Language Processing Techniques (3 papers)
- Partner nations
- SloveniaUnited StatesPoland
In The Last Decade
Gregor Leban
20 papers receiving 417 citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 159
- Molecular Biology 134
- Information Systems 71
- Computer Vision and Pattern Recognition 66
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Gregor Leban
This map shows the geographic impact of Gregor Leban'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 Gregor Leban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Leban more than expected).
Fields of papers citing papers by Gregor Leban
This network shows the impact of papers produced by Gregor Leban. 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 Gregor Leban. The network helps show where Gregor Leban may publish in the future.
Co-authorship network of co-authors of Gregor Leban
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Leban. A scholar is included among the top collaborators of Gregor Leban 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 Gregor Leban. Gregor Leban 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 | 6 | |
| 4 | 18 | |
| 5 | Health News Bias and its impact in Public Health | 1 |
| 6 | 8 | |
| 7 | 5 | |
| 8 | Semantic Annotation of Documents Based on Wikipedia Concepts | 5 |
| 9 | 3 | |
| 10 | Using News Articles for Real-time Cross-Lingual Event Detection and Filtering. | 9 |
| 11 | 3 | |
| 12 | Cross-lingual detection of world events from news articles | 2 |
| 13 | 72 | |
| 14 | Displaying email-related contextual information using contextify | 1 |
| 15 | On utility of gene set signatures in gene expression-based cancer class prediction | 4 |
| 16 | 54 | |
| 17 | 65 | |
| 18 | 58 | |
| 19 | 98 | |
| 20 | 23 |
About Gregor Leban
Gregor Leban is a scholar working on Artificial Intelligence, General Social Sciences and Communication, having authored 20 papers that have together received 437 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (159 citations), Biophysics (22 citations) and Computer Vision and Pattern Recognition (66 citations). Gregor Leban has collaborated with scholars based in Slovenia, United States and Poland. Frequent co-authors include Blaž Zupan, Janez Demšar, Ivan Bratko, Marko Grobelnik, Blaž Fortuna, Janez Brank, Tomaž Curk, Uroš Petrovič, Gaj Vidmar and Qikai Xu. Their work appears in journals such as Bioinformatics, Scientific Reports and Physica A Statistical Mechanics and its Applications.
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.