Nikolay Kobyshev

833 total citations · 1 hit paper
7 papers, 384 citations indexed

About

Nikolay Kobyshev is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Nikolay Kobyshev has authored 7 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Environmental Engineering and 2 papers in Aerospace Engineering. Recurrent topics in Nikolay Kobyshev's work include Advanced Image and Video Retrieval Techniques (4 papers), Advanced Vision and Imaging (4 papers) and 3D Surveying and Cultural Heritage (2 papers). Nikolay Kobyshev is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Advanced Vision and Imaging (4 papers) and 3D Surveying and Cultural Heritage (2 papers). Nikolay Kobyshev collaborates with scholars based in Switzerland, Belgium and Canada. Nikolay Kobyshev's co-authors include Radu Timofte, Kenneth Vanhoey, Andrey Ignatov, Hayko Riemenschneider, Luc Van Gool, Luc Van Gool, W.S.C. Chang, Danda Pani Paudel, Michael Gygli and Dengxin Dai and has published in prestigious journals such as Computer Vision and Image Understanding and Lirias (KU Leuven).

In The Last Decade

Nikolay Kobyshev

7 papers receiving 379 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.

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

2017 354 citations Andrey Ignatov, Nikolay Kobyshev et al. Lirias (KU Leuven) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nikolay Kobyshev Switzerland	4	357	125	23	12	10	7	384
Meiqin Liu China	9	282 0.8×	85 0.7×	51 2.2×	7 0.6×	10 1.0×	39	318
Seo-Won Ji South Korea	6	447 1.3×	221 1.8×	20 0.9×	24 2.0×	21 2.1×	12	502
Zhe Wei China	7	302 0.8×	178 1.4×	20 0.9×	11 0.9×	45 4.5×	21	335
Liyuan Pan China	7	159 0.4×	93 0.7×	20 0.9×	47 3.9×	9 0.9×	22	230
Balu Adsumilli United States	12	497 1.4×	137 1.1×	10 0.4×	8 0.7×	5 0.5×	38	546
S. Yao Singapore	7	472 1.3×	140 1.1×	8 0.3×	13 1.1×	11 1.1×	24	505
Shaolin Su China	5	446 1.2×	236 1.9×	16 0.7×	10 0.8×	15 1.5×	12	518
Hylke Buisman Netherlands	3	195 0.5×	86 0.7×	24 1.0×	12 1.0×	18 1.8×	6	252
Dingquan Li China	6	274 0.8×	116 0.9×	4 0.2×	6 0.5×	7 0.7×	15	317
Tien-Ying Kuo Taiwan	12	372 1.0×	49 0.4×	14 0.6×	14 1.2×	3 0.3×	55	397

Countries citing papers authored by Nikolay Kobyshev

Since Specialization

Citations

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

Fields of papers citing papers by Nikolay Kobyshev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Kobyshev

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Kobyshev. A scholar is included among the top collaborators of Nikolay Kobyshev 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 Nikolay Kobyshev. Nikolay Kobyshev 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:

7 of 7 papers shown

1.

Vanhoey, Kenneth, Hayko Riemenschneider, Santiago Manén, et al.. (2017). VarCity - the video. 1–2. 4 indexed citations

2.

Ignatov, Andrey, Nikolay Kobyshev, Radu Timofte, & Kenneth Vanhoey. (2017). DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. Lirias (KU Leuven). 3297–3305. 354 indexed citations breakdown →

3.

Kobyshev, Nikolay, et al.. (2016). Efficient architectural structural element decomposition. Computer Vision and Image Understanding. 157. 300–312. 3 indexed citations

4.

Kobyshev, Nikolay, et al.. (2016). 3D Saliency for Finding Landmark Buildings. Lirias (KU Leuven). 315. 267–275. 4 indexed citations

5.

Kobyshev, Nikolay, et al.. (2016). Architectural decomposition for 3D landmark building understanding. Lirias (KU Leuven). 1–10. 2 indexed citations

6.

Kobyshev, Nikolay, Hayko Riemenschneider, & Luc Van Gool. (2014). Matching Features Correctly through Semantic Understanding. Lirias (KU Leuven). 472–479. 14 indexed citations

7.

Kobyshev, Nikolay, et al.. (2014). Frankenhorse: Automatic Completion of Articulating Objects from Image-based Reconstruction. 106.1–106.12. 3 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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