A. Rubis

597 total citations · 1 hit paper
13 papers, 457 citations indexed

About

A. Rubis is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geometry and Topology. According to data from OpenAlex, A. Rubis has authored 13 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 1 paper in Geometry and Topology. Recurrent topics in A. Rubis's work include Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Medical Image Segmentation Techniques (4 papers). A. Rubis is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Medical Image Segmentation Techniques (4 papers). A. Rubis collaborates with scholars based in Russia. A. Rubis's co-authors include Yu. V. Vizilter, О. В. Выголов, M. A. Lebedev, V. A. Knyaz and Maxim Lebedev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Optics and Journal of Computer and Systems Sciences International.

In The Last Decade

A. Rubis

12 papers receiving 442 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.

CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

2018 405 citations M. A. Lebedev, Yu. V. Vizilter et al. SHILAP Revista de lepidopterología profile →

Peers

A. Rubis

MT

AS

ECOLO

CVPR

AI

M. A. Lebedev Russia

Zhan Zongqian China

О. В. Выголов Russia

Meiqi Hu China

Pan Chen China

Niladri Shekhar Mishra India

Chao Pang China

Xudong Niu China

Xueli Peng China

Cui Zhang China

M. A. Lebedev Russia

A. Rubis

360 ×1.0

MT

250 ×1.0

AS

173 ×1.0

ECOLO

62 ×0.7

CVPR

55 ×0.9

AI

Citations per year, relative to A. Rubis A. Rubis (= 1×) peers M. A. Lebedev

Countries citing papers authored by A. Rubis

Since Specialization

Citations

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

Fields of papers citing papers by A. Rubis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Rubis

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Rubis, A., et al.. (2018). Detecting image differences based on reference EMD-filters. Computer Optics. 42(2). 291–296. 4 indexed citations

2.

Rubis, A., et al.. (2018). Comparative image filter-ing using monotonic morphological operators. Computer Optics. 42(2). 306–311. 6 indexed citations

3.

Lebedev, M. A., Yu. V. Vizilter, О. В. Выголов, V. A. Knyaz, & A. Rubis. (2018). CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS. SHILAP Revista de lepidopterología. XLII-2. 565–571. 405 indexed citations breakdown →

4.

Vizilter, Yu. V., et al.. (2017). CHANGE DETECTION VIA SELECTIVE GUIDED CONTRASTING FILTERS. SHILAP Revista de lepidopterología. XLII-1/W1. 403–410. 1 indexed citations

5.

Lebedev, M. A., et al.. (2016). Change detection in segmented images based on reference filters. Computer Optics. 40(1). 80–86. 3 indexed citations

6.

Vizilter, Yu. V., et al.. (2016). A way to interconnect the multispectral images for improved vision systems by using the methods of diffusive morphology. Journal of Computer and Systems Sciences International. 55(4). 598–608. 3 indexed citations

7.

Vizilter, Yu. V., et al.. (2016). CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS. SHILAP Revista de lepidopterología. III-3. 279–286. 5 indexed citations

8.

Rubis, A., et al.. (2016). Morphological image filtering based on guided contrasting. Computer Optics. 40(1). 73–79. 11 indexed citations

9.

Vizilter, Yu. V., et al.. (2016). CHANGE DETECTION VIA MORPHOLOGICAL COMPARATIVE FILTERS. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. III-3. 279–286. 1 indexed citations

10.

Vizilter, Yu. V., et al.. (2015). Image shape matching using diffusion morphology and diffusion correlation. Computer Optics. 39(2). 265–274. 5 indexed citations

11.

Vizilter, Yu. V., et al.. (2014). Shape-Based Image Matching Using Heat Kernels and Diffusion Maps. SHILAP Revista de lepidopterología. XL-3. 357–364. 11 indexed citations

12.

Vizilter, Yu. V., et al.. (2012). Morphological shape comparison based on skeleton representations. Pattern Recognition and Image Analysis. 22(3). 412–418. 1 indexed citations

13.

Vizilter, Yu. V., et al.. (2011). Skeleton-based morphological shape comparison. Pattern Recognition and Image Analysis. 21(2). 357–360. 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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