Michael Grimm

22 papers receiving 1.1k citations

Peers

Michael Grimm
Comparison fields: 5 of 107
  • Experimental and Cognitive Psychology 655
  • Signal Processing 473
  • Pharmacy 64
  • Computer Vision and Pattern Recognition 295
  • Artificial Intelligence 414
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John Kane Ireland
Claudia Lainscsek United States
José Bernardo Mariño Acebal Spain
Minghui Dong Singapore
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Citations per field
00.5×3.8×
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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008293
2 2007220
3 2005124
4 2007123
5 200780
6 200565
7 200763
8
Audio-visual emotion recognition using an emotion space concept
200843
9 198739
10 201037
11 198831
12 200620
13 200311
14 20028
15 20136
16
Effects of In-Car Noise-Conditions on the Recognition of Emotion within Speech
20075
17 20145
18 20025
19
A 640-MHz 32-megachannel real-time polyphase-FFT spectrum analyzer
19914
20 20063

About Michael Grimm

Michael Grimm is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, Astronomy and Astrophysics and Electrical and Electronic Engineering, 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), Radio Astronomy Observations and Technology (5 papers), Speech and Audio Processing (5 papers), Digital Filter Design and Implementation (3 papers), Astronomy and Astrophysical Research (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 (473 citations), Pharmacy (64 citations), Computer Vision and Pattern Recognition (295 citations) and Artificial Intelligence (414 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, Klaus‐Robert Müller, Sebastian Mika, Gunnar Rätsch and Sören Sonnenburg. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Audio Speech and Language Processing, Speech Communication, Journal of Forensic Sciences and Journal of Chemical Information and Modeling.

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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