Michael Grimm

1.8k citations
23 papers · 1.2k indexed · h-index 12

Impact in

Papers in

Michael Grimm

22 papers receiving 1.1k citations

Peers

Michael Grimm
Comparison fields: 5 of 109
  • Experimental and Cognitive Psychology 655
  • Signal Processing 470
  • Computer Vision and Pattern Recognition 294
  • Artificial Intelligence 414
  • Pharmacy 64
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John Kane Ireland
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Citations per field
00.5×3.6×
John Kane · 1×
Citations per year

Countries citing papers authored by Michael Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Michael Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Grimm, 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 Michael Grimm Line = papers co-authored together Michael Grimm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20145
2 20136
3 201037
4
Audio-visual emotion recognition using an emotion space concept
200843
5 2008289
6 2007219
7 200780
8
Effects of In-Car Noise-Conditions on the Recognition of Emotion within Speech
20075
9 200763
10 20063
11 200620
12 2005123
13 200311
14 20030
15 20025
16
A 640-MHz 32-megachannel real-time polyphase-FFT spectrum analyzer
19914
17 198831
18 198738
19
Finite Wordlength Implementation of a Megachannel Digital Spectrum Analyzer
19862
20
A wide-band, high-resolution spectrum analyzer
19851

About Michael Grimm

Michael Grimm is a scholar working on Signal Processing, Instrumentation, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Astronomy and Astrophysics, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Face and Expression Recognition (6 papers), Speech and Audio Processing (5 papers), Radio Astronomy Observations and Technology (5 papers), Digital Filter Design and Implementation (3 papers), Scientific Research and Discoveries (2 papers), Advanced Frequency and Time Standards (2 papers) and Advancements in PLL and VCO Technologies (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (655 citations), Signal Processing (470 citations), Computer Vision and Pattern Recognition (294 citations), Artificial Intelligence (414 citations) and Pharmacy (64 citations). Michael Grimm has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kristian Kroschel, Shrikanth Narayanan, Emily Mower, Shrikanth Narayanan, Zhigang Deng, Carlos Busso, Sebastian Mika, Nikolaus Heinrich, Sören Sonnenburg and Gunnar Rätsch. Their work appears in journals such as Speech Communication, Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Audio Speech and Language Processing, Journal of Visualized Experiments and Journal of Forensic Sciences.

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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