Aleš Hladnik

793 total citations
59 papers, 584 citations indexed

About

Aleš Hladnik is a scholar working on Atomic and Molecular Physics, and Optics, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aleš Hladnik has authored 59 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 13 papers in Industrial and Manufacturing Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aleš Hladnik's work include Color Science and Applications (21 papers), Industrial Vision Systems and Defect Detection (13 papers) and Textile materials and evaluations (9 papers). Aleš Hladnik is often cited by papers focused on Color Science and Applications (21 papers), Industrial Vision Systems and Defect Detection (13 papers) and Textile materials and evaluations (9 papers). Aleš Hladnik collaborates with scholars based in Slovenia, Croatia and Serbia. Aleš Hladnik's co-authors include Krste Dimitrovski, Katarina Košmelj, Cirila Peklaj, Branka Javornik, B. Čeh, Petra Forte Tavčer, Anita Kušar, Slobodan Milošević, Miran Mozetič and Nikša Krstulović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Aleš Hladnik

53 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleš Hladnik Slovenia 14 140 85 81 78 65 59 584
Geoffrey RS Naylor Australia 16 292 2.1× 58 0.7× 34 0.4× 86 1.1× 89 1.4× 40 625
Roger Wardman United Kingdom 13 202 1.4× 173 2.0× 76 0.9× 31 0.4× 49 0.8× 33 482
Asim Kumar Roy Choudhury India 8 59 0.4× 112 1.3× 42 0.5× 26 0.3× 27 0.4× 24 361
Małgorzata Matusiak Poland 16 430 3.1× 117 1.4× 15 0.2× 86 1.1× 107 1.6× 69 664
Xianqing Xiong China 14 189 1.4× 139 1.6× 11 0.1× 96 1.2× 45 0.7× 41 549
Renzo Shamey United States 18 140 1.0× 245 2.9× 268 3.3× 59 0.8× 245 3.8× 80 850
Kōji Murata Japan 14 88 0.6× 269 3.2× 18 0.2× 65 0.8× 45 0.7× 108 755
Mengru Li China 21 378 2.7× 44 0.5× 17 0.2× 203 2.6× 14 0.2× 61 1.3k
Michal Vik Czechia 12 143 1.0× 97 1.1× 35 0.4× 93 1.2× 29 0.4× 51 490
Huantian Cao United States 15 124 0.9× 97 1.1× 4 0.0× 92 1.2× 46 0.7× 47 690

Countries citing papers authored by Aleš Hladnik

Since Specialization
Citations

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

Fields of papers citing papers by Aleš Hladnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleš Hladnik

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

All Works

20 of 20 papers shown
1.
Podlešek, Anja, Alenka Kavčič, Melita Puklek Levpušček, et al.. (2025). The impact of different types of self-regulation scaffolds on learning science with hypermedia. Computers in Human Behavior. 169. 108670–108670.
2.
Hladnik, Aleš, et al.. (2022). Exploiting Nonlinearity between Parallel Channels of Multiple Cameras for Accurate ANN Reconstruction of Reflectance Spectra. Tehnicki vjesnik - Technical Gazette. 29(3). 2 indexed citations
3.
Podlešek, Anja, Melita Puklek Levpušček, Bojana Boh Podgornik, et al.. (2022). Slovenian Validation of the Children’s Perceived Use of Self-Regulated Learning Inventory. Frontiers in Psychology. 12. 730386–730386. 1 indexed citations
4.
Čeh, B., et al.. (2020). Impact of Linseed Variety, Location and Production Year on Seed Yield, Oil Content and Its Composition. Agronomy. 10(11). 1770–1770. 35 indexed citations
5.
Hladnik, Aleš, et al.. (2020). Study of Camera Spectral Reflectance Reconstruction Performance using CPU and GPU Artificial Neural Network Modelling. Tehnicki vjesnik - Technical Gazette. 27(4). 5 indexed citations
6.
Hladnik, Aleš, et al.. (2018). CONTENT-AWARE IMAGE COMPRESSION WITH CONVOLUTIONAL NEURAL NETWORKS. 459–467. 3 indexed citations
7.
Perše, Lidija Slemenik, Boštjan Šumiga, Miroslav Huskić, et al.. (2018). Relation between colour- and phase changes of a leuco dye-based thermochromic composite. Scientific Reports. 8(1). 5511–5511. 36 indexed citations
8.
Hladnik, Aleš, et al.. (2016). Improving performance of content based image retrieval system with color features. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Hladnik, Aleš, et al.. (2016). Examination of Colour Emotions on a Sample of Slovenian Female Population. Tekstilec. 59(4). 311–320. 4 indexed citations
10.
Pranjić, Alenka Mauko, et al.. (2015). The bioreceptivity of building stone. EGU General Assembly Conference Abstracts. 13017. 2 indexed citations
11.
Hladnik, Aleš, et al.. (2014). Performance Assessment of Three Rendering Engines in 3D Computer Graphics Software. SHILAP Revista de lepidopterología.
12.
Radonić, Vasa, et al.. (2014). The influence of lamination and conductive printing inks on smart-card operability. 3 indexed citations
13.
Tomšič, Brigita, et al.. (2014). Characterisation and functional properties of antimicrobial bio-barriers formed by natural fibres. Colloids and Surfaces B Biointerfaces. 122. 72–78. 12 indexed citations
14.
Hladnik, Aleš, et al.. (2013). Prediction of RGB camera values by means of artificial neural networks. Digitální knihovna Univerzity Pardubice (Univerzity Pardubice). 1 indexed citations
15.
Hladnik, Aleš, et al.. (2012). A Comparative Study of Offset Plate Quality Parameters using Image Processing and Analytical Methods. Acta Polytechnica Hungarica. 9(6). 181–193. 4 indexed citations
16.
Hladnik, Aleš, et al.. (2012). Impact of material, structure and relaxation process parameters of elasticized single-knitted fabrics on loop length. Textile Research Journal. 83(1). 56–65. 9 indexed citations
17.
Hladnik, Aleš, et al.. (2011). Is Judgement of Biotechnological Ethical Aspects Related to High School Students' Knowledge?. International Journal of Science Education. 34(8). 1277–1296. 17 indexed citations
18.
Hladnik, Aleš, et al.. (2006). Image analysis and the characteristics of deinked pulp from digital prints. 77–86.
19.
Hladnik, Aleš. (2002). Characterization of pigments in coating formulations for high-end ink-jet papers. Dyes and Pigments. 54(3). 253–263. 43 indexed citations
20.
Hladnik, Aleš, et al.. (2002). Quality evaluation of ink-jet paper with principal components analysis. International Journal of Systems Science. 33(8). 677–687. 5 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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