Boris Čule
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
-
- Data Management and Algorithms 15
- Time Series Analysis and Forecasting 5
-
- Data Mining Algorithms and Applications 23
- Co-authors
- Bart Goethals (29 shared papers)Nikolaj Tatti (4 shared papers)Cheng Zhou (7 shared papers)Kris Laukens (5 shared papers)Pieter Meysman (5 shared papers)Kim Luyckx (1 shared paper)Wannes Meert (2 shared papers)Walter M. P. Daelemans (1 shared paper)
- Journals
- BioData Mining (2 papers)Data Mining and Knowledge Discovery (2 papers)Lecture notes in computer science (13 papers)Drones (1 paper)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- BelgiumAustraliaNetherlands
In The Last Decade
Boris Čule
35 papers receiving 414 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 167
- Information Systems 190
- Artificial Intelligence 208
- Health Information Management 19
- Computational Theory and Mathematics 69
Countries citing papers authored by Boris Čule
This map shows the geographic impact of Boris Čule'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 Boris Čule with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Čule more than expected).
Fields of papers citing papers by Boris Čule
This network shows the impact of papers produced by Boris Čule. 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 Boris Čule. The network helps show where Boris Čule may publish in the future.
Co-authors
The 24 scholars most cited alongside Boris Čule, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 44 | |
| 2 | 2017 | 41 | |
| 3 | 2020 | 38 | |
| 4 | 2018 | 36 | |
| 5 | Mining Closed Episodes with Simultaneous Events | 2012 | 32 |
| 6 | 2015 | 30 | |
| 7 | 2011 | 27 | |
| 8 | 2022 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2010 | 19 | |
| 11 | 2013 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2010 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2016 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2014 | 5 |
About Boris Čule
Boris Čule is a scholar working on Signal Processing, Information Systems, Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 438 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Data Management and Algorithms (15 papers), Rough Sets and Fuzzy Logic (11 papers), Advanced Database Systems and Queries (6 papers), Time Series Analysis and Forecasting (5 papers), Algorithms and Data Compression (4 papers), Video Analysis and Summarization (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (167 citations), Information Systems (190 citations), Artificial Intelligence (208 citations), Health Information Management (19 citations) and Computational Theory and Mathematics (69 citations). Boris Čule has collaborated with scholars based in Belgium, Australia and Netherlands. Frequent co-authors include Bart Goethals, Nikolaj Tatti, Cheng Zhou, Kris Laukens, Pieter Meysman, Kim Luyckx, Wannes Meert, Walter M. P. Daelemans, Sabine Verboven and Pieter Moris. Their work appears in journals such as BioData Mining, Data Mining and Knowledge Discovery, Lecture notes in computer science, Drones and IEEE Transactions on Computational Biology and Bioinformatics.
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.