Viktor Slavkovikj

1.8k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Viktor Slavkovikj is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Transportation. According to data from OpenAlex, Viktor Slavkovikj has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Transportation. Recurrent topics in Viktor Slavkovikj's work include Human Mobility and Location-Based Analysis (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Remote Sensing and Land Use (2 papers). Viktor Slavkovikj is often cited by papers focused on Human Mobility and Location-Based Analysis (3 papers), Indoor and Outdoor Localization Technologies (2 papers) and Remote Sensing and Land Use (2 papers). Viktor Slavkovikj collaborates with scholars based in Belgium and South Korea. Viktor Slavkovikj's co-authors include Rik Van de Walle, Sofie Van Hoecke, Steven Verstockt, Olivier Janssens, Kurt Stockman, Mia Loccufier, Bram Vervisch, Wesley De Neve, Benjamin Schrauwen and Fréderic Godin and has published in prestigious journals such as International Journal of Remote Sensing, Journal of Sound and Vibration and IEEE Signal Processing Magazine.

In The Last Decade

Viktor Slavkovikj

10 papers receiving 1.4k citations

Hit Papers

Convolutional Neural Network Based Fault Detection for Ro... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Slavkovikj Belgium 8 830 596 380 216 153 10 1.4k
Yifan Li China 24 997 1.2× 906 1.5× 355 0.9× 112 0.5× 258 1.7× 101 1.6k
Yiming Xiao China 13 1.1k 1.4× 577 1.0× 339 0.9× 333 1.5× 78 0.5× 23 1.4k
Shen Yan China 12 1.2k 1.4× 532 0.9× 360 0.9× 369 1.7× 71 0.5× 21 1.5k
Zhenzhen Jin China 17 772 0.9× 505 0.8× 261 0.7× 119 0.6× 91 0.6× 53 1.1k
Shulin Liu China 20 730 0.9× 475 0.8× 271 0.7× 198 0.9× 93 0.6× 87 1.2k
Tongyang Pan China 22 1.4k 1.7× 703 1.2× 370 1.0× 432 2.0× 107 0.7× 49 1.8k
Zenghui An China 22 1.4k 1.7× 844 1.4× 474 1.2× 250 1.2× 100 0.7× 43 1.6k
Zhiyu Zhu China 11 571 0.7× 369 0.6× 174 0.5× 88 0.4× 62 0.4× 36 970

Countries citing papers authored by Viktor Slavkovikj

Since Specialization
Citations

This map shows the geographic impact of Viktor Slavkovikj'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 Viktor Slavkovikj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Slavkovikj more than expected).

Fields of papers citing papers by Viktor Slavkovikj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor Slavkovikj. 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 Viktor Slavkovikj. The network helps show where Viktor Slavkovikj may publish in the future.

Co-authorship network of co-authors of Viktor Slavkovikj

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Slavkovikj. A scholar is included among the top collaborators of Viktor Slavkovikj 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 Viktor Slavkovikj. Viktor Slavkovikj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Slavkovikj, Viktor, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, & Rik Van de Walle. (2016). Unsupervised spectral sub-feature learning for hyperspectral image classification. International Journal of Remote Sensing. 37(2). 309–326. 9 indexed citations
2.
Janssens, Olivier, Viktor Slavkovikj, Bram Vervisch, et al.. (2016). Convolutional Neural Network Based Fault Detection for Rotating Machinery. Journal of Sound and Vibration. 377. 331–345. 966 indexed citations breakdown →
3.
Slavkovikj, Viktor, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, & Rik Van de Walle. (2015). Hyperspectral Image Classification with Convolutional Neural Networks. Ghent University Academic Bibliography (Ghent University). 1159–1162. 92 indexed citations
4.
Janssens, Olivier, Viktor Slavkovikj, Kurt Stockman, et al.. (2015). Thermal image based fault diagnosis for rotating machinery. Infrared Physics & Technology. 73. 78–87. 119 indexed citations
5.
Slavkovikj, Viktor, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, & Rik Van de Walle. (2014). Image-Based Road Type Classification. 2359–2364. 19 indexed citations
6.
Slavkovikj, Viktor, Steven Verstockt, Sofie Van Hoecke, & Rik Van de Walle. (2014). Review of wildfire detection using social media. Fire Safety Journal. 68. 109–118. 64 indexed citations
7.
Verstockt, Steven, et al.. (2014). Collaborative Bike Sensing for Automatic Geographic Enrichment: Geoannotation of road\/terrain type by multimodal bike sensing. IEEE Signal Processing Magazine. 31(5). 101–111. 4 indexed citations
8.
Godin, Fréderic, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, & Rik Van de Walle. (2013). Using topic models for Twitter hashtag recommendation. 593–596. 128 indexed citations
9.
Verstockt, Steven, et al.. (2013). Automatic GEO-MASHUP generation of outdoor activities. Ghent University Academic Bibliography (Ghent University). 100–103. 1 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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