Hanna Lukashevich

644 total citations
27 papers, 360 citations indexed

About

Hanna Lukashevich is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hanna Lukashevich has authored 27 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Hanna Lukashevich's work include Music and Audio Processing (21 papers), Speech and Audio Processing (18 papers) and Music Technology and Sound Studies (10 papers). Hanna Lukashevich is often cited by papers focused on Music and Audio Processing (21 papers), Speech and Audio Processing (18 papers) and Music Technology and Sound Studies (10 papers). Hanna Lukashevich collaborates with scholars based in Germany, United States and United Kingdom. Hanna Lukashevich's co-authors include Jakob Abeßer, Ammie K. Kalan, Roger Mundry, Hjalmar S. Kühl, Stefanie Heinicke, Oliver J. Wagner, Stefanie Nowak, Gerald Schuller, Christian Dittmar and Stefan Rüger and has published in prestigious journals such as Methods in Ecology and Evolution, Journal of the Audio Engineering Society and Journal of New Music Research.

In The Last Decade

Hanna Lukashevich

25 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanna Lukashevich Germany 10 199 140 82 81 67 27 360
Giambattista Parascandolo Finland 7 444 2.2× 200 1.4× 84 1.0× 187 2.3× 22 0.3× 9 580
Münevver Köküer United Kingdom 10 198 1.0× 30 0.2× 142 1.7× 51 0.6× 52 0.8× 42 296
Juan G. Colonna Brazil 12 109 0.5× 119 0.8× 111 1.4× 67 0.8× 36 0.5× 32 346
Régine Andre-Obrecht France 9 291 1.5× 113 0.8× 53 0.6× 257 3.2× 34 0.5× 50 463
Emre Çakır Finland 7 622 3.1× 268 1.9× 100 1.2× 198 2.4× 22 0.3× 11 729
Konstantinos Drossos Finland 10 168 0.8× 72 0.5× 46 0.6× 68 0.8× 14 0.2× 31 284
Seppo Fagerlund Finland 6 516 2.6× 145 1.0× 345 4.2× 108 1.3× 117 1.7× 9 694
Vincent Lostanlen France 11 250 1.3× 82 0.6× 142 1.7× 51 0.6× 73 1.1× 35 401
Rajeev Rajan India 12 235 1.2× 86 0.6× 72 0.9× 182 2.2× 28 0.4× 82 459
David Sánchez-Rodríguez Spain 13 89 0.4× 24 0.2× 69 0.8× 30 0.4× 44 0.7× 28 409

Countries citing papers authored by Hanna Lukashevich

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Lukashevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Lukashevich

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

All Works

20 of 20 papers shown
1.
Cano, Estefanía, et al.. (2024). A novel extension of FixMatch using uncertainty for semi-supervised audio classification. Science Talks. 10. 100364–100364. 1 indexed citations
2.
Johnson, David, et al.. (2021). DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. 2021 29th European Signal Processing Conference (EUSIPCO). 556–560. 9 indexed citations
3.
Abeßer, Jakob, et al.. (2020). A study on spoken language identification using deep neural networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 253–256. 18 indexed citations
4.
Abeßer, Jakob, et al.. (2019). Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 28 indexed citations
5.
Lukashevich, Hanna, et al.. (2018). A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 318–324. 16 indexed citations
6.
Brandenburg, Karlheinz, et al.. (2018). Plausible Augmentation of Auditory Scenes Using Dynamic Binaural Synthesis for Personalized Auditory Realities. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3 indexed citations
7.
Heinicke, Stefanie, Ammie K. Kalan, Oliver J. Wagner, et al.. (2015). Assessing the performance of a semi‐automated acoustic monitoring system for primates. Methods in Ecology and Evolution. 6(7). 753–763. 89 indexed citations
8.
Weiß, Ch., Estefanía Cano, & Hanna Lukashevich. (2014). A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
9.
Abeßer, Jakob, et al.. (2012). Classification of Music Genres Based on Repetitive Basslines. Journal of New Music Research. 41(3). 239–257. 8 indexed citations
10.
Kruspe, Anna, et al.. (2011). Towards cross-modal search and synchronization of music and video streams. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
11.
Kruspe, Anna, et al.. (2011). Automatic Classification of Musical Pieces Into Global Cultural Areas. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8 indexed citations
12.
Kruspe, Anna, Hanna Lukashevich, & Jakob Abeßer. (2011). Artist filtering for non-western music classification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 82–87. 2 indexed citations
13.
Nowak, Stefanie, et al.. (2010). Performance measures for multilabel evaluation: a case study in the area of image classification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 22 indexed citations
14.
Abeßer, Jakob, Hanna Lukashevich, & Gerald Schuller. (2010). Feature-based extraction of plucking and expression styles of the electric bass guitar. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 69. 2290–2293. 34 indexed citations
15.
Nowak, Stefanie, et al.. (2010). Performance measures for multilabel evaluation. Open Research Online (The Open University). 35–44. 1 indexed citations
16.
Abeßer, Jakob, et al.. (2010). Bass Playing Style Detection Based On High-Level Features And Pattern Similarity.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 93–98. 4 indexed citations
17.
Lukashevich, Hanna. (2009). Feature Selection vs. Feature Space Transformation in Music Genre Classification Framework. Journal of the Audio Engineering Society. 1 indexed citations
18.
Abeßer, Jakob, Hanna Lukashevich, Christian Dittmar, & Gerald Schuller. (2009). Genre Classification Using Bass-Related High-Level Features And Playing Styles.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 453–458. 8 indexed citations
19.
Lukashevich, Hanna, et al.. (2009). Using one-class SVM outliers detection for verification of collaboratively tagged image training sets. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 682–685. 29 indexed citations
20.
Lukashevich, Hanna, et al.. (2007). EFFECTIVE SINGING VOICE DETECTION IN POPULAR MUSIC USING ARMA FILTERING. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 14 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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