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Researcher · TU Wien · Austria

Franz Hlawatsch

Franz Hlawatsch publishes mostly in Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, on topics such as Target Tracking and Data Fusion in Sensor Networks, Image and Signal Denoising Methods and Advanced Wireless Communication Techniques.

ORCID 0000-0001-9010-9285 OpenAlex
World rank
#260,363
of 7,710,434 ranked researchers
Rank in Austria
#1,904
of 43,330
Works
300
Citations
10k
Citations per work
34.0
h-index
49
i10-index 161Top 1.7% in Electrical and Electronic Engineering
Franz Hlawatsch

What does Franz Hlawatsch research?

Franz Hlawatsch's work is mostly in Computer Science (48%), Engineering (26%).

Physical Sciences: 223 works · 74.3% of their workComputer Science: 145 works · 48.3% of their workComputer Networks and Communications: 45 works · 15.1% of their workArtificial Intelligence: 38 works · 12.5% of their workSignal Processing: 35 works · 11.6% of their workComputer Vision and Pattern Recognition: 27 works · 9.1% of their workEngineering: 78 works · 26.0% of their workElectrical and Electronic Engineering: 45 works · 15.1% of their workControl and Systems Engineering: 33 works · 10.9% of their workEverything else: 77 works · 25.7% of their workTHEIR WORKFranz Hlawatsch300works
Physical Sciences74%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science14548.3%
    2. Engineering7826.0%
  2. Everything else7725.7%
  1. 1Electrical and Electronic Engineering15% of their works
  2. 2Computer Networks and Communications15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Signal Processing12% of their works
  5. 5Control and Systems Engineering11% of their works
  6. 6Computer Vision and Pattern Recognition9% of their works

Research topics

Which keywords describe Franz Hlawatsch's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Sparse Representation, Nonlinear Estimation, Particle Filters, Image Denoising, Sparse Representations and MIMO-OFDM.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Deep Learning1102 topics
  2. Wavelet Transform1102 topics
  3. Sparse Representation802 topics
  4. Nonlinear Estimation761 topic
  5. Particle Filters761 topic
  6. Image Denoising631 topic
  7. Sparse Representations631 topic
  8. MIMO-OFDM581 topic
  9. Space-Time Coding581 topic
  10. Blind Separation511 topic
  11. Independent Component Analysis511 topic
  12. Empirical Mode Decomposition471 topic
  13. Fault Diagnosis471 topic
  14. Distributed Detection421 topic
  15. Wireless Sensor Networks421 topic
  16. Power Control331 topic
  17. Wireless Networks331 topic
  18. Compressed Sensing291 topic
  19. Signal Recovery291 topic

Where does Franz Hlawatsch work?

Franz Hlawatsch's main affiliation in the publication record is TU Wien, Austria.

How many publications and citations does Franz Hlawatsch have?

OpenAlex counts 300 works and 10,200 citations for Franz Hlawatsch, an h-index of 49, ranking #260,363 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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