Slavco Velickov

723 total citations · 1 hit paper
9 papers, 612 citations indexed

About

Slavco Velickov is a scholar working on Environmental Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Slavco Velickov has authored 9 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 3 papers in Water Science and Technology and 2 papers in Civil and Structural Engineering. Recurrent topics in Slavco Velickov's work include Hydrological Forecasting Using AI (3 papers), Environmental Monitoring and Data Management (2 papers) and Hydrology and Watershed Management Studies (2 papers). Slavco Velickov is often cited by papers focused on Hydrological Forecasting Using AI (3 papers), Environmental Monitoring and Data Management (2 papers) and Hydrology and Watershed Management Studies (2 papers). Slavco Velickov collaborates with scholars based in Netherlands, Germany and United Kingdom. Slavco Velickov's co-authors include Dimitri Solomatine, Michael B. Abbott, Yonas Dibike, Piet M. Lugt, J. H. Tripp, D. P. Solomatine, Cristóbal Rojas, Zheng Yi Wu, Paul Sage and Gergely Tóth and has published in prestigious journals such as Journal of Computing in Civil Engineering, Tribology Transactions and Journal of Hydroinformatics.

In The Last Decade

Slavco Velickov

9 papers receiving 584 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model Induction with Support Vector Machines: Introduction and Applications

2001 510 citations Yonas Dibike, Slavco Velickov et al. Journal of Computing in Civil Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Slavco Velickov Netherlands	6	299	211	146	124	80	9	612
Tienfuan Kerh Taiwan	13	300 1.0×	169 0.8×	262 1.8×	160 1.3×	99 1.2×	46	674
Adrienn Dineva Hungary	11	336 1.1×	257 1.2×	224 1.5×	115 0.9×	101 1.3×	19	834
Mahmud Güngör Türkiye	10	306 1.0×	228 1.1×	215 1.5×	150 1.2×	83 1.0×	20	618
Yu Tian China	19	152 0.5×	312 1.5×	285 2.0×	133 1.1×	76 0.9×	67	807
Liang‐Cheng Chang Taiwan	14	414 1.4×	252 1.2×	104 0.7×	216 1.7×	31 0.4×	54	806
Keyvan Asghari Iran	10	329 1.1×	272 1.3×	151 1.0×	136 1.1×	56 0.7×	24	581
I‐Fan Chang Taiwan	4	285 1.0×	169 0.8×	166 1.1×	61 0.5×	55 0.7×	11	520
N. Erdem Ünal Türkiye	17	202 0.7×	270 1.3×	194 1.3×	254 2.0×	58 0.7×	30	1.2k
Mohammad Javad Abedini Iran	14	187 0.6×	154 0.7×	136 0.9×	132 1.1×	29 0.4×	39	558

Countries citing papers authored by Slavco Velickov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

1.

Velickov, Slavco. (2014). Nonlinear Dynamics and Chaos with Applications to Hydrodynamics and Hydrological Modelling. 8 indexed citations

2.

Velickov, Slavco, et al.. (2013). FP7 project MyWater - Merging hydrologic models and EO data for reliable information on Water. EGUGA. 1 indexed citations

3.

Velickov, Slavco, et al.. (2013). Automatic calibration of hydrological model using fast global optimization algorithm with adaptive objectives. EGU General Assembly Conference Abstracts. 13359. 1 indexed citations

4.

Lugt, Piet M., Slavco Velickov, & J. H. Tripp. (2009). On the Chaotic Behavior of Grease Lubrication in Rolling Bearings. Tribology Transactions. 52(5). 581–590. 53 indexed citations

5.

Wu, Zheng Yi, et al.. (2009). Leak Detection Case Study by Means of Optimizing Emitter Locations and Flows. 48. 1–11. 6 indexed citations

6.

Solomatine, Dimitri, et al.. (2008). Multivariate chaotic models vs neural networks in predicting storm surge dynamics. 5. 2112–2119. 5 indexed citations

7.

Dibike, Yonas, Slavco Velickov, Dimitri Solomatine, & Michael B. Abbott. (2001). Model Induction with Support Vector Machines: Introduction and Applications. Journal of Computing in Civil Engineering. 15(3). 208–216. 510 indexed citations breakdown →

8.

Solomatine, D. P., et al.. (2000). Chaos theory in predicting surge water levels in the North Sea. 18 indexed citations

9.

Solomatine, Dimitri, et al.. (1999). Distributed environmental impact assessment using Internet. Journal of Hydroinformatics. 1(1). 59–70. 10 indexed citations

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.

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