Miroslav Benčo

777 total citations
45 papers, 533 citations indexed

About

Miroslav Benčo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Miroslav Benčo has authored 45 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Miroslav Benčo's work include Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (15 papers) and Medical Image Segmentation Techniques (6 papers). Miroslav Benčo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (15 papers) and Medical Image Segmentation Techniques (6 papers). Miroslav Benčo collaborates with scholars based in Slovakia and Pakistan. Miroslav Benčo's co-authors include Patrik Kamencay, Róbert Hudec, Peter Sýkora, Roman Jarina, Milan Dado, Miroslav Markovič and Ladislav Janoušek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Miroslav Benčo

36 papers receiving 488 citations

Peers

Miroslav Benčo

CVPR

AI

MT

EEE

PS

Monika Bansal India

Patrik Kamencay Slovakia

Sara Sharifzadeh United Kingdom

Alberto Rosales Mexico

Duy-Dinh Le Japan

Mukul V. Shirvaikar United States

Hao Shen China

Jimin Yu China

Yasar Abbas Ur Rehman Hong Kong

Lei Sun China

Monika Bansal India

Miroslav Benčo

295 ×1.0

CVPR

116 ×1.7

AI

50 ×1.0

MT

26 ×0.6

EEE

37 ×0.8

PS

Citations per year, relative to Miroslav Benčo Miroslav Benčo (= 1×) peers Monika Bansal

Countries citing papers authored by Miroslav Benčo

Since Specialization

Citations

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

Fields of papers citing papers by Miroslav Benčo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Benčo

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

All Works

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20 of 20 papers shown

1.

Kamencay, Patrik, et al.. (2023). Automated Detection of Cerebral Aneurysms using Deep Learning Techniques. 75–78. 2 indexed citations

2.

Sýkora, Peter, et al.. (2023). Body Part Classification from Medical Single Channel Images Using Deep Neural Networks. 79–82.

3.

Kamencay, Patrik, et al.. (2023). A New Approach for Aneurysm Detection Based on CNNs. 21. 71–74. 1 indexed citations

4.

Kamencay, Patrik, et al.. (2022). Tool for Parsing Important Data from Web Pages. Applied Sciences. 12(23). 12031–12031. 2 indexed citations

5.

Hudec, Róbert, et al.. (2020). A Smart IoT System for Detecting the Position of a Lying Person Using a Novel Textile Pressure Sensor. Sensors. 21(1). 206–206. 34 indexed citations

6.

Markovič, Miroslav, et al.. (2020). Vehicle Classification Based on FBG Sensor Arrays Using Neural Networks. Sensors. 20(16). 4472–4472. 12 indexed citations

7.

Kamencay, Patrik, et al.. (2019). Improved Feature Point Algorithm for 3D Point Cloud Registration. 14 indexed citations

8.

Kamencay, Patrik, et al.. (2018). 3D registration of the point cloud data using ICP algorithm in medical image analysis. 1–6. 26 indexed citations

9.

Kamencay, Patrik, et al.. (2018). Advanced point cloud estimation based on multiple view geometry. 10214. 1–5. 3 indexed citations

10.

Kamencay, Patrik, et al.. (2017). A New Method for Face Recognition Using Convolutional Neural Network. Advances in Electrical and Electronic Engineering. 15(4). 79 indexed citations

11.

Hudec, Róbert, et al.. (2016). A comparison of key-point descriptors for the stereo matching algorithm. 292–295. 10 indexed citations

12.

Benčo, Miroslav, et al.. (2014). An Advanced Approach to Extraction of Colour Texture Features Based on GLCM. International Journal of Advanced Robotic Systems. 11(7). 52 indexed citations

13.

Hudec, Róbert, et al.. (2014). Classification of Wild Animals based on SVM and Local Descriptors. AASRI Procedia. 9. 25–30. 22 indexed citations

14.

Kamencay, Patrik, et al.. (2014). A New Approach for Disparity Map Estimation from Stereo Image Sequences using Hybrid Segmentation Algorithm. 1 indexed citations

15.

Kamencay, Patrik, et al.. (2013). Feature extraction for object recognition using PCA-KNN with application to medical image analysis. 830–834. 11 indexed citations

16.

Benčo, Miroslav, et al.. (2012). One-dimensional Color-level Co-occurrence matrices. 18. 18–21. 2 indexed citations

17.

Hudec, Róbert, et al.. (2012). The object recognition based on Scale-Invariant feature transform and hybrid segmentation. 1. 109–113. 1 indexed citations

18.

Hudec, Róbert, et al.. (2011). Simple comparison of image segmentation algorithms based on evaluation criterion. 1–4. 19 indexed citations

19.

Hudec, Róbert, et al.. (2008). SD LMS L-Filters for Filtration of Gray Level Images in Timespatial Domain Based on GLCM Features. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Hudec, Róbert & Miroslav Benčo. (2007). Novel Method for Color Textures Features Extraction Based on GLCM. SHILAP Revista de lepidopterología. 40 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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