Jakub Špaňhel

508 total citations
17 papers, 315 citations indexed

About

Jakub Špaňhel is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Jakub Špaňhel has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Media Technology. Recurrent topics in Jakub Špaňhel's work include Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (8 papers) and Vehicle License Plate Recognition (5 papers). Jakub Špaňhel is often cited by papers focused on Advanced Neural Network Applications (9 papers), Video Surveillance and Tracking Methods (8 papers) and Vehicle License Plate Recognition (5 papers). Jakub Špaňhel collaborates with scholars based in Czechia. Jakub Špaňhel's co-authors include Adam Herout, Jakub Sochor, Roman Juránek, Pavel Zemčík, Petr Dobeš, Jan Novák and Jiří Ambros and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Machine Vision and Applications and European Transport Research Review.

In The Last Decade

Jakub Špaňhel

17 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jakub Špaňhel Czechia	8	247	115	84	47	41	17	315
Haoxiang Liang China	4	211 0.9×	87 0.8×	92 1.1×	60 1.3×	31 0.8×	10	307
Zhongyuan Wu China	7	177 0.7×	56 0.5×	47 0.6×	30 0.6×	49 1.2×	15	276
Vinh Dinh Nguyen South Korea	10	225 0.9×	47 0.4×	61 0.7×	17 0.4×	32 0.8×	27	283
Yanjie Yao China	6	334 1.4×	187 1.6×	82 1.0×	86 1.8×	69 1.7×	9	409
Lele Xie China	8	307 1.2×	216 1.9×	29 0.3×	63 1.3×	50 1.2×	14	410
Chao-Ho Chen Taiwan	9	283 1.1×	58 0.5×	59 0.7×	27 0.6×	64 1.6×	33	354
Jon Arróspide Spain	11	326 1.3×	73 0.6×	175 2.1×	21 0.4×	51 1.2×	18	395
Huai Yuan China	13	312 1.3×	69 0.6×	162 1.9×	18 0.4×	44 1.1×	31	373
Fatin Zaklouta France	6	327 1.3×	207 1.8×	39 0.5×	18 0.4×	48 1.2×	6	416

Countries citing papers authored by Jakub Špaňhel

Since Specialization

Citations

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

Fields of papers citing papers by Jakub Špaňhel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Špaňhel

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

All Works

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17 of 17 papers shown

Špaňhel, Jakub, et al.. (2022). PersonGONE: Image Inpainting for Automated Checkout Solution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3114–3122. 4 indexed citations

Špaňhel, Jakub, et al.. (2020). Automatic camera calibration by landmarks on rigid objects. Machine Vision and Applications. 32(1). 16 indexed citations

Juránek, Roman, et al.. (2020). PlaneCalib: Automatic Camera Calibration by Multiple Observations of Rigid Objects on Plane. 1–8. 8 indexed citations

Dobeš, Petr, et al.. (2020). Density-Based Vehicle Counting with Unsupervised Scale Selection. 1–8. 1 indexed citations

Špaňhel, Jakub, et al.. (2020). How does road marking in horizontal curves influence driving behaviour?. European Transport Research Review. 12(1). 7 indexed citations

Špaňhel, Jakub, et al.. (2020). Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs. 37. 2544–2549. 7 indexed citations

Špaňhel, Jakub, et al.. (2019). Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment. Computer Vision and Pattern Recognition. 150–158. 3 indexed citations

Špaňhel, Jakub, et al.. (2019). Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision. 2. 1001–1006. 3 indexed citations

Špaňhel, Jakub, et al.. (2018). Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications. 7 indexed citations

10.

Sochor, Jakub, Jakub Špaňhel, Roman Juránek, Petr Dobeš, & Adam Herout. (2018). Graph@FIT Submission to the NVIDIA AI City Challenge 2018. pp. 77–777. 3 indexed citations

11.

Sochor, Jakub, Jakub Špaňhel, & Adam Herout. (2018). BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems. 20(1). 97–108. 103 indexed citations

12.

Sochor, Jakub, et al.. (2018). Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement. IEEE Transactions on Intelligent Transportation Systems. 20(5). 1633–1643. 51 indexed citations

13.

Špaňhel, Jakub, et al.. (2018). Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks. 1–6. 3 indexed citations

14.

Špaňhel, Jakub, Jakub Sochor, Roman Juránek, & Adam Herout. (2018). Geometric Alignment by Deep Learning for Recognition of Challenging License Plates. 5. 3524–3529. 6 indexed citations

15.

Sochor, Jakub, Jakub Špaňhel, & Adam Herout. (2017). BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance.. arXiv (Cornell University). 1 indexed citations

16.

Sochor, Jakub, et al.. (2017). BrnoCompSpeed: Review of Traffic Camera Calibration and Comprehensive Dataset for Monocular Speed Measurement.. arXiv (Cornell University). 14 indexed citations

17.

Špaňhel, Jakub, et al.. (2017). Holistic recognition of low quality license plates by CNN using track annotated data. 1–6. 78 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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