Alexander Lerch

1.7k total citations
66 papers, 831 citations indexed

About

Alexander Lerch is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Alexander Lerch has authored 66 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Signal Processing, 38 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Alexander Lerch's work include Music and Audio Processing (50 papers), Music Technology and Sound Studies (34 papers) and Speech and Audio Processing (25 papers). Alexander Lerch is often cited by papers focused on Music and Audio Processing (50 papers), Music Technology and Sound Studies (34 papers) and Speech and Audio Processing (25 papers). Alexander Lerch collaborates with scholars based in United States, Germany and Austria. Alexander Lerch's co-authors include Li-Chia Yang, Chih-Wei Wu, Juan José Burred, Weian Guo, Yongmei Li, Lei Wang, Qidi Wu, Dongyang Li, Holger Kirchhoff and Yihao Chen and has published in prestigious journals such as Applied Physics Letters, The Journal of Physical Chemistry C and ACM Computing Surveys.

In The Last Decade

Alexander Lerch

57 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Lerch United States	14	556	405	208	163	51	66	831
Eric D. Scheirer United States	12	1.2k 2.2×	924 2.3×	203 1.0×	270 1.7×	22 0.4×	21	1.4k
Patrick Cook United States	6	1.7k 3.0×	1.3k 3.2×	268 1.3×	355 2.2×	107 2.1×	10	2.0k
Xavier Rodet France	19	767 1.4×	489 1.2×	352 1.7×	182 1.1×	16 0.3×	93	1.1k
Beth Logan United States	14	1.0k 1.9×	759 1.9×	401 1.9×	136 0.8×	60 1.2×	26	1.3k
Philippe Depalle Canada	17	624 1.1×	515 1.3×	95 0.5×	272 1.7×	31 0.6×	69	893
Miller Puckette United States	16	712 1.3×	641 1.6×	87 0.4×	312 1.9×	15 0.3×	50	974
David Meredith Denmark	14	397 0.7×	379 0.9×	158 0.8×	195 1.2×	56 1.1×	55	606
Antti Eronen Finland	13	1.2k 2.1×	757 1.9×	249 1.2×	164 1.0×	33 0.6×	28	1.3k
James A. Moorer United States	13	583 1.0×	389 1.0×	49 0.2×	196 1.2×	28 0.5×	42	719

Countries citing papers authored by Alexander Lerch

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Lerch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Lerch

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Lerch. A scholar is included among the top collaborators of Alexander Lerch 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 Alexander Lerch. Alexander Lerch 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

Lerch, Alexander, et al.. (2025). Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control. Circuits and Systems. 16(1). 1–24.

Lerch, Alexander, et al.. (2025). Survey on the Evaluation of Generative Models in Music. ACM Computing Surveys. 58(4). 1–36.

Guhathakurta, Subhrajit, et al.. (2024). ASPED: An Audio Dataset for Detecting Pedestrians. 406–410. 1 indexed citations

Watcharasupat, Karn N., et al.. (2023). A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation. IEEE Open Journal of Signal Processing. 5. 73–81. 1 indexed citations

Lerch, Alexander. (2022). libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages. Software Impacts. 13. 100349–100349.

Wang, Lei, et al.. (2022). A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity. IEEE Transactions on Cybernetics. 54(3). 1596–1607. 17 indexed citations

Lerch, Alexander & Peter Knees. (2021). Machine Learning Applied to Music/Audio Signal Processing. Electronics. 10(24). 3077–3077. 4 indexed citations

Li, Dongyang, Weian Guo, Alexander Lerch, et al.. (2020). An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization. Swarm and Evolutionary Computation. 60. 100789–100789. 71 indexed citations

Wu, Chih-Wei, Christian Dittmar, Richard Vogl, et al.. (2018). A Review of Automatic Drum Transcription. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(9). 1457–1483. 26 indexed citations

10.

Lerch, Alexander, et al.. (2018). Assessment of Student Music Performances Using Deep Neural Networks. Applied Sciences. 8(4). 507–507. 22 indexed citations

11.

Lerch, Alexander, et al.. (2018). Two-photon photoemission spectroscopy of unoccupied electronic states at CuPc/PTCDA/Ag(1 1 1) interfaces. Journal of Physics Condensed Matter. 30(49). 494001–494001. 9 indexed citations

12.

Lerch, Alexander, et al.. (2018). Multi-Track Crosstalk Reduction Using Spectral Subtraction. Journal of the Audio Engineering Society.

13.

Lerch, Alexander, Laura Fernández, Maxim Ilyn, et al.. (2017). Electronic Structure of Titanylphthalocyanine Layers on Ag(111). The Journal of Physical Chemistry C. 121(45). 25353–25363. 15 indexed citations

14.

Wu, Chih-Wei, et al.. (2016). Automatic Outlier Detection in Music Genre Datasets.. International Symposium/Conference on Music Information Retrieval. 101–107. 2 indexed citations

15.

Lerch, Alexander, et al.. (2016). An Efficient Algorithm for Clipping Detection and Declipping Audio. Journal of the Audio Engineering Society. 8 indexed citations

16.

Wu, Chih-Wei & Alexander Lerch. (2016). On Drum Playing Technique Detection in Polyphonic Mixtures.. International Symposium/Conference on Music Information Retrieval. 218–224. 7 indexed citations

17.

Lerch, Alexander, et al.. (2015). Genre-specific Key Profiles.. The Journal of the Abraham Lincoln Association. 2015. 1 indexed citations

18.

Lerch, Alexander. (2008). On the Requirement of Automatic Tuning Frequency Estimation. DepositOnce. 212–215. 8 indexed citations

19.

Lerch, Alexander, et al.. (2005). FEAPI: A Low Level Feature Extraction Plugin API. Ghent University Academic Bibliography (Ghent University). 6 indexed citations

20.

Burred, Juan José & Alexander Lerch. (2004). Hierarchical Automatic Audio Signal Classification. Journal of the Audio Engineering Society. 52(7). 724–739. 46 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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