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.
Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling
2013276 citationsWeisheng Dong, Lei Zhang et al.IEEE Transactions on Image Processingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Rastislav Lukàč
Since
Specialization
Citations
This map shows the geographic impact of Rastislav Lukàč'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 Rastislav Lukàč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rastislav Lukàč more than expected).
This network shows the impact of papers produced by Rastislav Lukàč. 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 Rastislav Lukàč. The network helps show where Rastislav Lukàč may publish in the future.
Co-authorship network of co-authors of Rastislav Lukàč
This figure shows the co-authorship network connecting the top 25 collaborators of Rastislav Lukàč.
A scholar is included among the top collaborators of Rastislav Lukàč 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 Rastislav Lukàč. Rastislav Lukàč 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.
Dong, Weisheng, Lei Zhang, Rastislav Lukàč, & Guangming Shi. (2013). Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling. IEEE Transactions on Image Processing. 22(4). 1382–1394.276 indexed citations breakdown →
Lukàč, Rastislav, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2005). Color image denoising using evolutionary computation. International Journal of Imaging Systems and Technology. 15(5). 236–251.18 indexed citations
9.
Lukàč, Rastislav & Konstantinos N. Plataniotis. (2004). Bayer CFA image zooming using a normalized color-ratio model. International Symposium ELMAR. 555–560.1 indexed citations
10.
Lukàč, Rastislav & Konstantinos N. Plataniotis. (2004). A secret sharing scheme for image encryption. International Symposium ELMAR. 549–554.8 indexed citations
11.
Lukàč, Rastislav & Konstantinos N. Plataniotis. (2004). An efficient CFA interpolation solution. International Symposium ELMAR. 543–548.2 indexed citations
12.
Lukàč, Rastislav, Konstantinos N. Plataniotis, Bogdan Smołka, & A.N. Venetsanopoulos. (2004). Generalized Selection Weighted Vector Filters. EURASIP Journal on Advances in Signal Processing. 2004(12).53 indexed citations
13.
Lukàč, Rastislav, et al.. (2004). Adaptive video filtering framework. International Journal of Imaging Systems and Technology. 14(6). 223–237.13 indexed citations
14.
Lukàč, Rastislav, et al.. (2003). Switching median filter with a local entropy control. Journal of Medical Informatics & Technologies. 5.1 indexed citations
15.
Lukàč, Rastislav & Bogdan Smołka. (2003). APPLICATION OF THE ADAPTIVE CENTER-WEIGHTED VECTOR MEDIAN FRAMEWORK FOR THE ENHANCEMENT OF CDNA MICROARRAY IMAGES. International Journal of Applied Mathematics and Computer Science. 13(3). 369–383.39 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.