Eva Lieskovská

448 total citations
19 papers, 239 citations indexed

About

Eva Lieskovská is a scholar working on Signal Processing, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Eva Lieskovská has authored 19 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Eva Lieskovská's work include Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (8 papers). Eva Lieskovská is often cited by papers focused on Speech and Audio Processing (10 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (8 papers). Eva Lieskovská collaborates with scholars based in Slovakia and Pakistan. Eva Lieskovská's co-authors include Maroš Jakubec, Roman Jarina and Peter Počta and has published in prestigious journals such as Sensors, Sustainability and Applied Sciences.

In The Last Decade

Eva Lieskovská

16 papers receiving 226 citations

Peers

Eva Lieskovská
Eva Lieskovská
Citations per year, relative to Eva Lieskovská Eva Lieskovská (= 1×) peers Maroš Jakubec

Countries citing papers authored by Eva Lieskovská

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lieskovská

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lieskovská

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

All Works

19 of 19 papers shown
1.
Jakubec, Maroš, Eva Lieskovská, & Peter Počta. (2025). A robust deep learning based model for denoising phonocardiogram signals in clinical environments. Engineering Applications of Artificial Intelligence. 161. 112286–112286.
2.
Jakubec, Maroš, et al.. (2025). Integrating Neural Networks for Automated Video Analysis of Traffic Flow Routing and Composition at Intersections. Sustainability. 17(5). 2150–2150. 2 indexed citations
3.
Jakubec, Maroš, et al.. (2024). Speech Emotion Recognition Using Transfer Learning: Integration of Advanced Speaker Embeddings and Image Recognition Models. Applied Sciences. 14(21). 9981–9981. 1 indexed citations
4.
Lieskovská, Eva, et al.. (2024). Traffic Flow Prediction in Urban Networks: Integrating Sequential Neural Network Architectures. International Journal of Advanced Computer Science and Applications. 15(1).
5.
Jakubec, Maroš, et al.. (2024). Pothole detection in adverse weather: leveraging synthetic images and attention-based object detection methods. Multimedia Tools and Applications. 83(39). 86955–86982. 2 indexed citations
6.
Jakubec, Maroš, et al.. (2023). Comparison of CNN-Based Models for Pothole Detection in Real-World Adverse Conditions: Overview and Evaluation. Applied Sciences. 13(9). 5810–5810. 27 indexed citations
7.
Lieskovská, Eva, et al.. (2023). Automatic pothole detection. Transportation research procedia. 74. 1164–1170. 3 indexed citations
8.
Jakubec, Maroš, et al.. (2023). Deep Learning-Based Automatic Helmet Recognition for Two-Wheeled Road Safety. Transportation research procedia. 74. 1171–1178.
9.
Jakubec, Maroš, et al.. (2023). Deep speaker embeddings for Speaker Verification: Review and experimental comparison. Engineering Applications of Artificial Intelligence. 127. 107232–107232. 13 indexed citations
10.
Lieskovská, Eva, et al.. (2022). Computer Vision Based Pothole Detection under Challenging Conditions. Sensors. 22(22). 8878–8878. 46 indexed citations
11.
Lieskovská, Eva, Maroš Jakubec, & Roman Jarina. (2022). RNN with Improved Temporal Modeling for Speech Emotion Recognition. 1–5. 3 indexed citations
12.
Jakubec, Maroš, Eva Lieskovská, & Roman Jarina. (2021). Speaker Recognition with ResNet and VGG Networks. 1–5. 8 indexed citations
13.
Jakubec, Maroš, et al.. (2021). On Deep Speaker Embeddings for Speaker Verification. 162–166. 1 indexed citations
14.
Lieskovská, Eva, et al.. (2021). A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism. Electronics. 10(10). 1163–1163. 122 indexed citations
15.
Jakubec, Maroš, Eva Lieskovská, & Roman Jarina. (2020). Development of Speaker Recognizer Using I-vectors in Two Programming Environments. 1. 1–5. 1 indexed citations
16.
Jakubec, Maroš, Eva Lieskovská, & Roman Jarina. (2020). An Overview of Automatic Speaker Recognition in Adverse Acoustic Environment. 211–218. 2 indexed citations
17.
Lieskovská, Eva, Maroš Jakubec, & Roman Jarina. (2020). Speech Emotion Recognition Overview and Experimental Results. 388–393. 3 indexed citations
18.
Lieskovská, Eva, Maroš Jakubec, & Roman Jarina. (2019). Acoustic surveillance system for children’s emotion detection. 5. 525–528. 1 indexed citations
19.
Jarina, Roman, et al.. (2019). Continuous Music Emotion Recognition Using Selected Audio Features. 4 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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