Lukáš Neumann

4.9k total citations · 2 hit papers
16 papers, 2.2k citations indexed

About

Lukáš Neumann is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Lukáš Neumann has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Aerospace Engineering. Recurrent topics in Lukáš Neumann's work include Handwritten Text Recognition Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers) and Vehicle License Plate Recognition (5 papers). Lukáš Neumann is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers) and Vehicle License Plate Recognition (5 papers). Lukáš Neumann collaborates with scholars based in Czechia, United Kingdom and Germany. Lukáš Neumann's co-authors include Jiřı́ Matas, Seiichi Uchida, Faisal Shafait, Vijay Chandrasekhar, Masakazu Iwamura, Dìmosthenis Karatzas, Ernest Valveny, Shijian Lu, Anguelos Nicolaou and Suman K. Ghosh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Oxford University Research Archive (ORA) (University of Oxford) and Florence Research (University of Florence).

In The Last Decade

Lukáš Neumann

16 papers receiving 2.1k citations

Hit Papers

ICDAR 2015 competition on Robust Reading 2012 2026 2016 2021 2015 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukáš Neumann Czechia 12 2.1k 1.0k 346 63 62 16 2.2k
Minghui Liao China 11 2.2k 1.0× 1.1k 1.1× 390 1.1× 69 1.1× 70 1.1× 20 2.3k
Mingkun Yang China 11 1.1k 0.5× 350 0.3× 220 0.6× 32 0.5× 27 0.4× 25 1.2k
Vamsi Krishna Madasu Australia 14 516 0.2× 180 0.2× 221 0.6× 38 0.6× 59 1.0× 50 655
Dar-Shyang Lee United States 11 856 0.4× 114 0.1× 222 0.6× 38 0.6× 33 0.5× 22 1.0k
Yihang Lou China 18 975 0.5× 217 0.2× 238 0.7× 9 0.1× 11 0.2× 27 1.1k
Anoop Namboodiri India 15 756 0.4× 130 0.1× 245 0.7× 88 1.4× 99 1.6× 76 912
Sheng Yang China 12 485 0.2× 219 0.2× 138 0.4× 18 0.3× 91 1.5× 32 694
Alessandro Bissacco United States 11 944 0.4× 176 0.2× 222 0.6× 43 0.7× 40 0.6× 18 1.1k
Yousri Kessentini Tunisia 15 530 0.3× 233 0.2× 311 0.9× 30 0.5× 32 0.5× 42 815
Teófilo de Campos United Kingdom 12 603 0.3× 126 0.1× 233 0.7× 87 1.4× 21 0.3× 43 819

Countries citing papers authored by Lukáš Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Neumann

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

All Works

16 of 16 papers shown
1.
Insafutdinov, Eldar, et al.. (2022). Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. 2022 International Conference on Robotics and Automation (ICRA). 2411–2418. 3 indexed citations
2.
Neumann, Lukáš & Andrea Vedaldi. (2021). Pedestrian and Ego-vehicle Trajectory Prediction from Monocular Camera. Oxford University Research Archive (ORA) (University of Oxford). 10199–10207. 28 indexed citations
3.
Neumann, Lukáš, Andrew Zisserman, & Andrea Vedaldi. (2019). Future Event Prediction: If and When. Oxford University Research Archive (ORA) (University of Oxford). 2935–2943. 15 indexed citations
4.
Neumann, Lukáš, et al.. (2019). Towards Learning 3d Object Detection and 6d Pose Estimation from Synthetic Data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4 indexed citations
5.
Neumann, Lukáš, Andrew Zisserman, & Andrea Vedaldi. (2018). Relaxed Softmax: Efficient Confidence Auto-Calibration for Safe Pedestrian Detection. 26 indexed citations
6.
Saito, Yuji, et al.. (2017). Investigation of axial-injection end-burning hybrid rocket motor regression. 4(3). 281–296. 5 indexed citations
7.
Neumann, Lukáš, et al.. (2017). Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework. 2223–2231. 158 indexed citations
8.
Neumann, Lukáš. (2017). Scene text localization and recognition in images and videos. Cvut DSpace (Czech Technical University). 1 indexed citations
9.
Neumann, Lukáš & Jiřı́ Matas. (2015). Real-Time Lexicon-Free Scene Text Localization and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(9). 1872–1885. 106 indexed citations
10.
Neumann, Lukáš & Jiřı́ Matas. (2015). Efficient Scene text localization and recognition with local character refinement. 6. 746–750. 52 indexed citations
11.
Karatzas, Dìmosthenis, Lluís Gómez, Anguelos Nicolaou, et al.. (2015). ICDAR 2015 competition on Robust Reading. Florence Research (University of Florence). 1156–1160. 874 indexed citations breakdown →
12.
Neumann, Lukáš, et al.. (2015). FASText: Efficient Unconstrained Scene Text Detector. 1206–1214. 85 indexed citations
13.
Neumann, Lukáš & Jiřı́ Matas. (2013). On Combining Multiple Segmentations in Scene Text Recognition. 523–527. 73 indexed citations
14.
Neumann, Lukáš & Jiřı́ Matas. (2013). Scene Text Localization and Recognition with Oriented Stroke Detection. 97–104. 160 indexed citations
15.
Neumann, Lukáš & Jiřı́ Matas. (2012). Real-time scene text localization and recognition. 3538–3545. 537 indexed citations breakdown →
16.
Neumann, Lukáš & Jiřı́ Matas. (2011). Text Localization in Real-World Images Using Efficiently Pruned Exhaustive Search. 687–691. 98 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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