Niko Lukač

1.3k total citations
66 papers, 954 citations indexed

About

Niko Lukač is a scholar working on Artificial Intelligence, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Niko Lukač has authored 66 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Environmental Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Niko Lukač's work include Remote Sensing and LiDAR Applications (15 papers), Solar Radiation and Photovoltaics (11 papers) and Algorithms and Data Compression (9 papers). Niko Lukač is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Solar Radiation and Photovoltaics (11 papers) and Algorithms and Data Compression (9 papers). Niko Lukač collaborates with scholars based in Slovenia, Germany and China. Niko Lukač's co-authors include Borut Žalik, Domen Mongus, Gorazd Štumberger, Sebastijan Seme, Krista Rizman Žalik, Bojan Štumberger, Miralem Hadžiselimović, Yongkui Liu, Mihai Datcu and Shiyong Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Niko Lukač

54 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niko Lukač Slovenia 16 443 360 192 191 142 66 954
Zhifeng Guo China 16 329 0.7× 110 0.3× 23 0.1× 127 0.7× 94 0.7× 49 926
Zhen Qian China 15 219 0.5× 199 0.6× 22 0.1× 177 0.9× 171 1.2× 40 789
Imane Sebari Morocco 14 159 0.4× 107 0.3× 44 0.2× 48 0.3× 68 0.5× 41 601
Reda Yaagoubi Morocco 13 102 0.2× 171 0.5× 135 0.7× 218 1.1× 34 0.2× 37 642
Sylvain Robert France 10 425 1.0× 77 0.2× 164 0.9× 713 3.7× 195 1.4× 19 1.2k
Parham Pahlavani Iran 13 166 0.4× 301 0.8× 42 0.2× 65 0.3× 125 0.9× 70 922
Ronny Hänsch Germany 22 387 0.9× 230 0.6× 203 1.1× 28 0.1× 146 1.0× 97 1.7k
Yehua Sheng China 17 230 0.5× 131 0.4× 113 0.6× 86 0.5× 111 0.8× 107 1.1k
Mehmet Akıf Günen Türkiye 12 115 0.3× 183 0.5× 51 0.3× 15 0.1× 73 0.5× 37 563

Countries citing papers authored by Niko Lukač

Since Specialization
Citations

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

Fields of papers citing papers by Niko Lukač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niko Lukač

This figure shows the co-authorship network connecting the top 25 collaborators of Niko Lukač. A scholar is included among the top collaborators of Niko Lukač 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 Niko Lukač. Niko Lukač 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.
Lukač, Niko, et al.. (2025). Explaining 3D Semantic Segmentation Through Generative AI ‐Based Counterfactuals. Expert Systems. 42(12). 1 indexed citations
2.
Mongus, Domen, et al.. (2025). Contextualized spatio-temporal graph-based method for forecasting sparse geospatial sensor networks. Expert Systems with Applications. 294. 128779–128779. 1 indexed citations
3.
Keiblinger, Katharina, Hans‐Peter Kaul, Iztok Fister, et al.. (2025). What can artificial intelligence do for soil health in agriculture?. Computer Science Review. 59. 100832–100832. 1 indexed citations
4.
Lukač, Niko, et al.. (2025). Detection and Optimization of Photovoltaic Arrays’ Tilt Angles Using Remote Sensing Data. Applied Sciences. 15(7). 3598–3598.
5.
Holzinger, Andreas, Niko Lukač, V. L. Kocic, et al.. (2025). Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals. Information Fusion. 119. 103032–103032. 8 indexed citations
6.
Mongus, Domen, et al.. (2025). High-resolution urban-scale impact of retro-reflective façade materials on building thermal load. Scientific Reports. 15(1). 45532–45532.
7.
9.
Žalik, Borut, et al.. (2023). FLoCIC: A Few Lines of Code for Raster Image Compression. Entropy. 25(3). 533–533. 3 indexed citations
10.
Žalik, Borut, et al.. (2023). Geometric Shape Characterisation Based on a Multi-Sweeping Paradigm. Symmetry. 15(6). 1212–1212.
11.
Mongus, Domen, et al.. (2023). Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery. Sensors. 23(14). 6648–6648. 17 indexed citations
12.
Mongus, Domen, et al.. (2023). High-resolution spatiotemporal assessment of solar potential from remote sensing data using deep learning. Renewable Energy. 222. 119868–119868. 6 indexed citations
13.
Chen, Peng, et al.. (2023). CNN-Based Vessel Meeting Knowledge Discovery From AIS Vessel Trajectories. Journal of Database Management. 34(3). 1–38. 2 indexed citations
14.
Žalik, Borut, et al.. (2023). A New Transformation Technique for Reducing Information Entropy: A Case Study on Greyscale Raster Images. Entropy. 25(12). 1591–1591. 2 indexed citations
16.
Lukač, Niko, et al.. (2022). Data on annotated approximate bilaterally symmetric leaf-off trees based on particle flow simulation and predefined tree crown shape. Data in Brief. 40. 107806–107806. 1 indexed citations
17.
Žalik, Borut, et al.. (2017). Estimation and optimisation of buildings' thermal load using LiDAR data. Building and Environment. 128. 12–21. 15 indexed citations
18.
Hämmerle, Martin, Niko Lukač, Ken-Chung Chen, et al.. (2017). SIMULATING VARIOUS TERRESTRIAL AND UAV LIDAR SCANNINGCONFIGURATIONS FOR UNDERSTORY FOREST STRUCTURE MODELLING. SHILAP Revista de lepidopterología. IV-2/W4. 59–65. 15 indexed citations
19.
Žalik, Borut, Domen Mongus, & Niko Lukač. (2015). A universal chain code compression method. Journal of Visual Communication and Image Representation. 29. 8–15. 15 indexed citations
20.
Lukač, Niko, et al.. (2012). Rating of roofs’ surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data. Applied Energy. 102. 803–812. 141 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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