Sergey Kosov

479 total citations · 1 hit paper
9 papers, 307 citations indexed

About

Sergey Kosov is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Sergey Kosov has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Biophysics. Recurrent topics in Sergey Kosov's work include Image Processing Techniques and Applications (4 papers), Cell Image Analysis Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sergey Kosov is often cited by papers focused on Image Processing Techniques and Applications (4 papers), Cell Image Analysis Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sergey Kosov collaborates with scholars based in Germany, China and Japan. Sergey Kosov's co-authors include Kimiaki Shirahama, Marcin Grzegorzek, Chen Li, Jinghua Zhang, Tao Jiang, Changhao Sun, Zihan Li, Hong Li, Frank Kulwa and Xin Zhao and has published in prestigious journals such as Pattern Recognition, Environmental Science and Pollution Research and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Sergey Kosov

9 papers receiving 302 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.

LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation

2021 174 citations Jinghua Zhang, Chen Li et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergey Kosov Germany	5	130	115	74	63	63	9	307
Zitao Zeng China	4	162 1.2×	101 0.9×	46 0.6×	121 1.9×	32 0.5×	6	303
Jeremiah Neubert United States	7	136 1.0×	88 0.8×	34 0.5×	134 2.1×	11 0.2×	36	410
Fátima N. S. de Medeiros Brazil	12	203 1.6×	211 1.8×	33 0.4×	185 2.9×	42 0.7×	23	502
Constantin Seibold Germany	7	128 1.0×	127 1.1×	13 0.2×	86 1.4×	29 0.5×	22	258
Qiufu Li China	9	175 1.3×	46 0.4×	124 1.7×	23 0.4×	46 0.7×	32	338
Marcus Bloice Austria	9	78 0.6×	77 0.7×	23 0.3×	68 1.1×	11 0.2×	15	292
Anas M. Ali Saudi Arabia	11	165 1.3×	90 0.8×	89 1.2×	53 0.8×	9 0.1×	26	315
Sundaresh Ram United States	11	254 2.0×	58 0.5×	56 0.8×	61 1.0×	43 0.7×	46	431
Markus Hofmarcher Austria	4	141 1.1×	75 0.7×	23 0.3×	14 0.2×	53 0.8×	6	260
Prabhpreet Kaur India	12	158 1.2×	178 1.5×	61 0.8×	185 2.9×	9 0.1×	43	501

Countries citing papers authored by Sergey Kosov

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Kosov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Kosov

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

9 of 9 papers shown

1.

Kulwa, Frank, Chen Li, Jinghua Zhang, et al.. (2022). A new pairwise deep learning feature for environmental microorganism image analysis. Environmental Science and Pollution Research. 29(34). 51909–51926. 43 indexed citations

2.

Kulwa, Frank, Chen Li, Marcin Grzegorzek, et al.. (2022). Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. Biomedical Signal Processing and Control. 79. 104168–104168. 10 indexed citations

3.

Zhang, Jinghua, Chen Li, Sergey Kosov, et al.. (2021). LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. Pattern Recognition. 115. 107885–107885. 174 indexed citations breakdown →

4.

Kosov, Sergey, Kimiaki Shirahama, & Marcin Grzegorzek. (2018). Labeling of partially occluded regions via the multi-layer CRF. Multimedia Tools and Applications. 78(2). 2551–2569. 1 indexed citations

5.

Kosov, Sergey, Kimiaki Shirahama, Chen Li, & Marcin Grzegorzek. (2017). Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognition. 77. 248–261. 64 indexed citations

6.

Braun, Andreas, Carolina Rojas, Franz Rottensteiner, et al.. (2014). Design of a Spectral–Spatial Pattern Recognition Framework for Risk Assessments Using Landsat Data—A Case Study in Chile. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(3). 917–928. 9 indexed citations

7.

Kosov, Sergey, Franz Rottensteiner, & Christian Heipke. (2012). 3D classification of crossroads from multiple aerial images using conditional random fields. 4. 1–4. 1 indexed citations

8.

Kosov, Sergey, Thorsten Thormählen, & Hans‐Peter Seidel. (2010). Rapid stereo-vision enhanced face recognition. Max Planck Institute for Plasma Physics. 2437–2440. 4 indexed citations

9.

Kosov, Sergey, et al.. (2009). Rapid stereo-vision enhanced face detection. MPG.PuRe (Max Planck Society). 2007. 1221–1224. 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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