Franz Hlawatsch

10.0k total citations · 1 hit paper
229 papers, 6.8k citations indexed

About

Franz Hlawatsch is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Franz Hlawatsch has authored 229 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 80 papers in Electrical and Electronic Engineering and 73 papers in Signal Processing. Recurrent topics in Franz Hlawatsch's work include Target Tracking and Data Fusion in Sensor Networks (61 papers), Advanced Wireless Communication Techniques (54 papers) and Image and Signal Denoising Methods (52 papers). Franz Hlawatsch is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (61 papers), Advanced Wireless Communication Techniques (54 papers) and Image and Signal Denoising Methods (52 papers). Franz Hlawatsch collaborates with scholars based in Austria, United States and Czechia. Franz Hlawatsch's co-authors include G.F. Boudreaux-Bartels, Gerald Matz, Florian Meyer, Helmut Bölcskei, Ondrej Hlinka, Petar M. Djurić, Georg Tauböck, Paolo Braca, W. Kozek and Dominik Seethaler and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Franz Hlawatsch

216 papers receiving 6.4k citations

Hit Papers

Linear and quadratic time... 1992 2026 2003 2014 1992 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franz Hlawatsch Austria 40 2.6k 1.8k 1.7k 1.7k 1.5k 229 6.8k
S.A. Kassam United States 33 1.8k 0.7× 2.3k 1.3× 1.5k 0.9× 1.5k 0.9× 732 0.5× 174 6.5k
Louis L. Scharf United States 42 2.9k 1.1× 1.8k 1.0× 4.8k 2.8× 1.6k 0.9× 1.1k 0.8× 297 11.4k
Abdelhak M. Zoubir Germany 42 1.6k 0.6× 847 0.5× 1.8k 1.1× 1.2k 0.7× 552 0.4× 509 6.5k
Yingbo Hua United States 44 4.8k 1.9× 2.5k 1.4× 3.1k 1.8× 533 0.3× 564 0.4× 281 8.6k
B. Porat Israel 34 1.3k 0.5× 427 0.2× 2.5k 1.5× 900 0.5× 965 0.7× 119 6.5k
B. Friedlander United States 58 2.8k 1.1× 760 0.4× 7.3k 4.3× 1.5k 0.9× 1.2k 0.8× 382 12.2k
Y.T. Chan Canada 35 4.6k 1.8× 1.0k 0.6× 2.3k 1.4× 2.6k 1.5× 494 0.3× 149 7.0k
Bhaskar D. Rao United States 52 5.3k 2.1× 2.8k 1.6× 6.0k 3.5× 1.5k 0.9× 2.3k 1.6× 388 15.1k
Visa Koivunen Finland 46 3.6k 1.4× 2.8k 1.6× 2.3k 1.4× 1.1k 0.7× 282 0.2× 396 8.0k
Yu Hen Hu United States 40 3.3k 1.3× 2.3k 1.3× 1.8k 1.1× 1.8k 1.1× 1.3k 0.9× 435 8.6k

Countries citing papers authored by Franz Hlawatsch

Since Specialization
Citations

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

Fields of papers citing papers by Franz Hlawatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Hlawatsch

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Hlawatsch. A scholar is included among the top collaborators of Franz Hlawatsch 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 Franz Hlawatsch. Franz Hlawatsch 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.
Kropfreiter, Thomas, Florian Meyer, David Crouse, et al.. (2024). Track Coalescence and Repulsion in Multitarget Tracking: An Analysis of MHT, JPDA, and Belief Propagation Methods. IEEE Open Journal of Signal Processing. 5. 1089–1106.
3.
Djurić, Petar M., et al.. (2022). Fusion of Probability Density Functions. Proceedings of the IEEE. 110(4). 404–453. 56 indexed citations
4.
Soldi, Giovanni, Florian Meyer, Paolo Braca, & Franz Hlawatsch. (2019). Self-Tuning Algorithms for Multisensor-Multitarget Tracking Using Belief Propagation. IEEE Transactions on Signal Processing. 67(15). 3922–3937. 70 indexed citations
5.
Kropfreiter, Thomas, Florian Meyer, & Franz Hlawatsch. (2019). A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation. IEEE Transactions on Aerospace and Electronic Systems. 56(3). 2478–2488. 39 indexed citations
6.
Meyer, Florian, Thomas Kropfreiter, Jason Williams, et al.. (2018). Message Passing Algorithms for Scalable Multitarget Tracking. Proceedings of the IEEE. 106(2). 221–259. 247 indexed citations
7.
Meyer, Florian, Paolo Braca, Peter Willett, & Franz Hlawatsch. (2017). A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors. IEEE Transactions on Signal Processing. 65(13). 3478–3493. 169 indexed citations
8.
Kropfreiter, Thomas, Florian Meyer, & Franz Hlawatsch. (2016). Sequential Monte Carlo implementation of the track-oriented marginal multi-Bernoulli/poisson filter. International Conference on Information Fusion. 972–979. 16 indexed citations
9.
Meyer, Florian, Paolo Braca, Peter Willett, & Franz Hlawatsch. (2016). Tracking an unknown number of targets using multiple sensors: A belief propagation method. International Conference on Information Fusion. 719–726. 11 indexed citations
10.
Jung, Alexander, Reinhard Heckel, Helmut Bölcskei, & Franz Hlawatsch. (2014). Compressive nonparametric graphical model selection for time series. 11. 769–773. 12 indexed citations
11.
Durisi, Giuseppe, et al.. (2014). Degrees of Freedom of Generic Block-Fading MIMO Channels Without <italic>a Priori</italic> Channel State Information. IEEE Transactions on Information Theory. 60(12). 7760–7781. 2 indexed citations
12.
Slučiak, Ondrej, Ondrej Hlinka, Markus Rupp, Franz Hlawatsch, & Petar M. Djurić. (2011). Sequential likelihood consensus and its application to distributed particle filtering with reduced communications and latency. 1766–1770. 11 indexed citations
13.
Tauböck, Georg, et al.. (2010). Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing. IEEE Journal of Selected Topics in Signal Processing. 4(2). 255–271. 196 indexed citations
14.
Hlawatsch, Franz, et al.. (2008). Time-Frequency Analysis: Concepts and Methods. 56 indexed citations
15.
Hlawatsch, Franz, et al.. (2008). Low-Complexity Factor Graph Receivers for Spectrally Efficient MIMO-IDMA. 770–774. 7 indexed citations
16.
Matz, Gerald & Franz Hlawatsch. (2006). Time-varying communication channels: Fundamentals, recent developments, and open problems. European Signal Processing Conference. 1–5. 21 indexed citations
17.
Seethaler, Dominik, et al.. (2005). Detection techniques for MIMO spatial multiplexing systems. e+i Elektrotechnik und Informationstechnik. 122(3). 91–96. 14 indexed citations
18.
Bölcskei, Helmut & Franz Hlawatsch. (2001). Noise reduction in oversampled filter banks using predictive quantization. IEEE Transactions on Information Theory. 47(1). 155–172. 72 indexed citations
19.
Mecklenbräuker, W. & Franz Hlawatsch. (1997). The Wigner distribution : theory and applications in signal processing. Elsevier eBooks. 162 indexed citations
20.
Hlawatsch, Franz, et al.. (1987). Wigner distribution analysis of filters with perceptible phase distortion. Journal of the Audio Engineering Society. 35(12). 1004–1012. 3 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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