Michael Muma

1.3k total citations
73 papers, 865 citations indexed

About

Michael Muma is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Michael Muma has authored 73 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Statistics and Probability and 13 papers in Signal Processing. Recurrent topics in Michael Muma's work include Statistical Methods and Inference (10 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (9 papers). Michael Muma is often cited by papers focused on Statistical Methods and Inference (10 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (9 papers). Michael Muma collaborates with scholars based in Germany, Hong Kong and United States. Michael Muma's co-authors include Abdelhak M. Zoubir, Visa Koivunen, Yacine Chakhchoukh, Esa Ollila, Daniel P. Palomar, Mengling Feng, V. Koivunen, Martin Vetterli, Marc Moonen and Cuntai Guan and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering and Frontiers in Psychology.

In The Last Decade

Michael Muma

69 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Muma Germany 12 222 204 163 161 158 73 865
Athanasios P. Liavas Greece 13 374 1.7× 102 0.5× 255 1.6× 46 0.3× 15 0.1× 40 850
Maciej Niedźwiecki Poland 19 388 1.7× 304 1.5× 397 2.4× 70 0.4× 21 0.1× 121 1.3k
Nguyen Linh Trung Vietnam 16 468 2.1× 179 0.9× 212 1.3× 101 0.6× 14 0.1× 104 1.1k
S. de Waele Netherlands 13 153 0.7× 105 0.5× 42 0.3× 210 1.3× 16 0.1× 45 709
Panos P. Markopoulos United States 13 236 1.1× 153 0.8× 238 1.5× 68 0.4× 36 0.2× 70 789
Yang Song Singapore 17 320 1.4× 104 0.5× 56 0.3× 88 0.5× 23 0.1× 79 924
Hao He United States 11 159 0.7× 143 0.7× 88 0.5× 227 1.4× 13 0.1× 30 1.2k
Branko Kovačević Serbia 13 104 0.5× 278 1.4× 104 0.6× 30 0.2× 73 0.5× 80 847
Ram Narayan Yadav India 15 198 0.9× 340 1.7× 54 0.3× 126 0.8× 6 0.0× 57 1.1k
Fuliang Yin China 18 552 2.5× 190 0.9× 254 1.6× 90 0.6× 10 0.1× 141 1.2k

Countries citing papers authored by Michael Muma

Since Specialization
Citations

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

Fields of papers citing papers by Michael Muma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Muma

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Muma. A scholar is included among the top collaborators of Michael Muma 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 Michael Muma. Michael Muma 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.
Muma, Michael, et al.. (2025). High-dimensional false discovery rate control for dependent variables. Signal Processing. 234. 109990–109990. 2 indexed citations
2.
Muma, Michael, et al.. (2025). The terminating-random experiments selector: Fast high-dimensional variable selection with false discovery rate control. Signal Processing. 231. 109894–109894. 4 indexed citations
3.
Palomar, Daniel P., et al.. (2025). FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. TUbilio (Technical University of Darmstadt). 1–5. 1 indexed citations
4.
Muma, Michael, et al.. (2025). FDR Control for Complex-Valued Data with Application in Single Snapshot Multi-Source Detection and DOA Estimation. TUbilio (Technical University of Darmstadt). 1–5.
5.
Stryk, Oskar von, et al.. (2024). Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar. IEEE Transactions on Biomedical Engineering. 71(6). 1756–1769. 8 indexed citations
6.
Muma, Michael, et al.. (2024). FDR-Controlled Sparse Index Tracking with Autoregressive Stock Dependency Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2662–2666. 1 indexed citations
7.
Muma, Michael, et al.. (2024). False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening. TUbilio (Technical University of Darmstadt). 2482–2486. 3 indexed citations
8.
Muma, Michael, et al.. (2024). Physiology-Informed ECG Delineation Based on Peak Prominence. TUbilio (Technical University of Darmstadt). 1402–1406. 1 indexed citations
9.
Muma, Michael, et al.. (2023). Fast and Robust Sparsity-Aware Block Diagonal Representation. IEEE Transactions on Signal Processing. 72. 305–320. 2 indexed citations
10.
Muma, Michael, et al.. (2022). False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter. 2022 30th European Signal Processing Conference (EUSIPCO). 892–896. 7 indexed citations
11.
Muma, Michael, et al.. (2021). Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis. IEEE Transactions on Signal Processing. 69. 3947–3962. 4 indexed citations
12.
Muma, Michael, et al.. (2020). An Unsupervised Approach for Graph-based Robust Clustering of Human Gait Signatures. TUbilio (Technical University of Darmstadt). 589. 1–6. 2 indexed citations
13.
Muma, Michael, et al.. (2019). Robust Detection for Cluster Analysis. 5331–5335. 1 indexed citations
14.
Muma, Michael, et al.. (2017). A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning.. arXiv (Cornell University). 2 indexed citations
15.
Plata-Chaves, Jorge, et al.. (2017). Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks. IEEE Transactions on Signal Processing. 66(3). 682–697. 22 indexed citations
16.
17.
Kelava, Augustin, et al.. (2015). A new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli. Frontiers in Psychology. 5. 1507–1507. 5 indexed citations
18.
19.
Zoubir, Abdelhak M., V. Koivunen, Yacine Chakhchoukh, & Michael Muma. (2012). Robust Estimation in Signal Processing. Chemotherapy. 14(4). 258–63. 23 indexed citations
20.
Muma, Michael, Yao Cheng, Florian Roemer, Martin Haardt, & Abdelhak M. Zoubir. (2012). Robust source number enumeration for r-dimensional arrays in case of brief sensor failures. 3709–3712. 21 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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