Florian Krebs

1.4k citations
40 papers · 752 · h-index 15

Impact in

Papers in

Florian Krebs

36 papers receiving 705 citations

Peers

Florian Krebs
Comparison fields: 5 of 72
  • Signal Processing 563
  • Computer Vision and Pattern Recognition 442
  • Music 28
  • Cognitive Neuroscience 116
  • Industrial and Manufacturing Engineering 57
Replace Antonio Greco with:
Antonio Greco Italy
Enrico Grosso Italy
Pingchuan Ma United Kingdom
Luhong Liang China
Xiaopei Wu China
Mohammad R. Kolahdouzan United States
A. S. Tolba Egypt
Jiayang Liu China
Shi-Huang Chen Taiwan
Yanyu Xu China
Florian Krebs relative to Antonio Greco Italy Antonio Greco's profile →
Citations per field
00.5×10×13.8×
Antonio Greco · 1×
Citations per year

Countries citing papers authored by Florian Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Florian Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Krebs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Krebs Line = papers co-authored together Florian Krebs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 200479
3 201667
4 201266
5 200165
6 201347
7 201439
8 200637
9 201431
10 200128
11 201527
12
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201225
13 201525
14 201119
15 201418
16 201612
17 201512
18 20159
19 20197
20 20185

About Florian Krebs

Florian Krebs is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 40 papers that have together received 752 indexed citations. Recurring topics across this work include Music and Audio Processing (16 papers), Speech and Audio Processing (14 papers), Music Technology and Sound Studies (11 papers), Manufacturing Process and Optimization (6 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Data Management and Algorithms (3 papers), Neuroscience and Music Perception (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Signal Processing (563 citations), Computer Vision and Pattern Recognition (442 citations), Music (28 citations), Cognitive Neuroscience (116 citations) and Industrial and Manufacturing Engineering (57 citations). Florian Krebs has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Sebastian Böck, Gerhard Widmer, Markus Schedl, Bernhard Braunmüller, Christian Böhm, Hans‐Peter Kriegel, Filip Korzeniowski, Jan Schlüter, André Holzapfel and Andreas Arzt. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE/ACM Transactions on Audio Speech and Language Processing, Robotics and Computer-Integrated Manufacturing, Geoscience Data Journal and Assembly Automation.

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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