Slavco Velickov
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Civil and Structural Engineering top 10%
- Artificial Intelligence
- Co-authors
- Dimitri SolomatineMichael B. AbbottYonas DibikeJ. H. TrippPiet M. LugtD. P. SolomatineCristóbal RojasZheng Yi Wu
- Topics
- Hydrological Forecasting Using AI (3 papers)Environmental Monitoring and Data Management (2 papers)Hydrology and Watershed Management Studies (2 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Slavco Velickov
9 papers receiving 584 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Environmental Engineering 299
- Water Science and Technology 211
- Global and Planetary Change 146
- Civil and Structural Engineering 124
- Artificial Intelligence 80
Countries citing papers authored by Slavco Velickov
This map shows the geographic impact of Slavco Velickov'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 Slavco Velickov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slavco Velickov more than expected).
Fields of papers citing papers by Slavco Velickov
This network shows the impact of papers produced by Slavco Velickov. 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 Slavco Velickov. The network helps show where Slavco Velickov may publish in the future.
Co-authorship network of co-authors of Slavco Velickov
This figure shows the co-authorship network connecting the top 25 collaborators of Slavco Velickov. A scholar is included among the top collaborators of Slavco Velickov 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 Slavco Velickov. Slavco Velickov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Automatic calibration of hydrological model using fast global optimization algorithm with adaptive objectives | 1 |
| 3 | FP7 project MyWater - Merging hydrologic models and EO data for reliable information on Water | 1 |
| 4 | 53 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | Model Induction with Support Vector Machines: Introduction and Applicationsbreakdown → | 510 |
| 8 | Chaos theory in predicting surge water levels in the North Sea | 18 |
| 9 | 10 |
About Slavco Velickov
Slavco Velickov is a scholar working on Geology, Environmental Engineering and Water Science and Technology, having authored 9 papers that have together received 612 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (3 papers), Environmental Monitoring and Data Management (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Environmental Engineering (299 citations), Water Science and Technology (211 citations) and Global and Planetary Change (146 citations). Slavco Velickov has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Dimitri Solomatine, Michael B. Abbott, Yonas Dibike, J. H. Tripp, Piet M. Lugt, D. P. Solomatine, Cristóbal Rojas, Zheng Yi Wu, Paul Sage and Gergely Tóth. Their work appears in journals such as Journal of Computing in Civil Engineering, Tribology Transactions and Journal of Hydroinformatics.
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.