Marco Maaß

517 total citations
38 papers, 304 citations indexed

About

Marco Maaß is a scholar working on Biomedical Engineering, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Marco Maaß has authored 38 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 17 papers in Signal Processing and 12 papers in Cognitive Neuroscience. Recurrent topics in Marco Maaß's work include Speech and Audio Processing (17 papers), Muscle activation and electromyography studies (9 papers) and Music and Audio Processing (9 papers). Marco Maaß is often cited by papers focused on Speech and Audio Processing (17 papers), Muscle activation and electromyography studies (9 papers) and Music and Audio Processing (9 papers). Marco Maaß collaborates with scholars based in Germany, United Kingdom and United States. Marco Maaß's co-authors include Alfred Mertins, Huy Phan, Philipp Koch, Radoslaw Mazur, Lars Hertel, Ian McLoughlin, Anna S. Larsen, Mandy Ahlborg, Thorsten M. Buzug and Klaas Bente and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Marco Maaß

37 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Maaß Germany	10	149	114	88	62	53	38	304
Kyuwan Choi Japan	9	105 0.7×	72 0.6×	141 1.6×	22 0.4×	58 1.1×	18	326
Prathosh AP India	11	133 0.9×	103 0.9×	82 0.9×	79 1.3×	24 0.5×	54	435
Khawza I. Ahmed Bangladesh	11	54 0.4×	46 0.4×	135 1.5×	45 0.7×	24 0.5×	51	376
Lalan Kumar India	11	218 1.5×	87 0.8×	99 1.1×	41 0.7×	30 0.6×	49	415
Tran Huy Dat Singapore	9	250 1.7×	52 0.5×	295 3.4×	31 0.5×	98 1.8×	21	474
Dharmendra Gurve Canada	10	103 0.7×	83 0.7×	236 2.7×	13 0.2×	41 0.8×	18	324
Peter Husár Germany	10	89 0.6×	98 0.9×	130 1.5×	11 0.2×	16 0.3×	55	320
Rodica Strungaru Romania	10	108 0.7×	90 0.8×	132 1.5×	24 0.4×	6 0.1×	41	291
Sheikh Md. Rabiul Islam Bangladesh	8	44 0.3×	56 0.5×	84 1.0×	28 0.5×	11 0.2×	53	208
Rahul Kher India	9	58 0.4×	133 1.2×	102 1.2×	64 1.0×	7 0.1×	29	303

Countries citing papers authored by Marco Maaß

Since Specialization

Citations

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

Fields of papers citing papers by Marco Maaß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Maaß

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

Maaß, Marco, et al.. (2024). Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging. IEEE Transactions on Computational Imaging. 10. 1588–1601. 4 indexed citations

Maaß, Marco, et al.. (2024). Doppler frequency analysis for sound-field sampling with moving microphones. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Stichtenoth, Guido, et al.. (2023). The Derivation of Epigastric Motion to Assess Neonatal Breathing and Sleep: An Exploratory Study. Klinische Pädiatrie. 236(4). 240–246. 1 indexed citations

Maaß, Marco, et al.. (2021). Spherical Harmonic Representation for Dynamic Sound-Field Measurements. 426–430. 4 indexed citations

Mertins, Alfred, et al.. (2020). Room Impulse Response Reshaping and Crosstalk Cancellation Using Convex Optimization. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 489–502. 3 indexed citations

Maaß, Marco, et al.. (2020). A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging. 2135–2139. 3 indexed citations

Maaß, Marco, et al.. (2019). Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model. International Journal of Computer Assisted Radiology and Surgery. 14(11). 1913–1921. 2 indexed citations

Koch, Philipp, et al.. (2019). A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data. PubMed. 2019. 5088–5091. 19 indexed citations

Koch, Philipp, et al.. (2019). Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data. 1–5. 6 indexed citations

10.

Mazur, Radoslaw, et al.. (2018). A Compressed Sensing Framework for Dynamic Sound-Field Measurements. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 1962–1975. 12 indexed citations

11.

Koch, Philipp, et al.. (2018). Recurrent Neural Network Based Early Prediction of Future Hand Movements. PubMed. 2018. 4710–4713. 19 indexed citations

12.

Maaß, Marco, et al.. (2018). Joint Multiresolution Magnetic Particle Imaging and System Matrix Compression. Infinite Science GmbH. 4(1). 2 indexed citations

13.

Mazur, Radoslaw, et al.. (2018). Spatial Interpolation of Room Impulse Responses Using Compressed Sensing. 6 indexed citations

14.

Koch, Philipp, et al.. (2017). Early prediction of future hand movements using sEMG data. PubMed. 2017. 54–57. 5 indexed citations

15.

Mazur, Radoslaw, et al.. (2017). Multigrid reconstruction of sound fields using moving microphones. 24. 191–195. 3 indexed citations

16.

Phan, Huy, Lars Hertel, Marco Maaß, et al.. (2017). Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1278–1290. 44 indexed citations

17.

Phan, Huy, Lars Hertel, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Representing nonspeech audio signals through speech classification models. 3441–3445. 4 indexed citations

18.

Phan, Huy, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Early event detection in audio streams. Kent Academic Repository (University of Kent). 1–6. 8 indexed citations

19.

Phan, Huy, Lars Hertel, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Audio phrases for audio event recognition. Kent Academic Repository (University of Kent). 2546–2550. 4 indexed citations

20.

Phan, Huy, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2014). Acoustic event detection and localization with regression forests. 2524–2528. 6 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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