Andreas Noll

490 citations
23 papers · 238 · h-index 9

Impact in

Papers in

Andreas Noll

19 papers receiving 212 citations

Peers

Andreas Noll
Comparison fields: 5 of 33
  • Signal Processing 71
  • Human-Computer Interaction 33
  • Cognitive Neuroscience 88
  • Artificial Intelligence 95
  • Computer Vision and Pattern Recognition 50
Replace Gibrán Fuentes-Pineda with:
Gibrán Fuentes-Pineda Mexico
Kazuyo Tanaka Japan
David Huggins-Daines United States
Ruidong Zhang United States
Yoshihisa Nakatoh Japan
Philip Kwok United States
Joseph Timoney Ireland
Ruohan Gao United States
Michael Schoeffler Germany
Yuchi Liu China
Andreas Noll relative to Gibrán Fuentes-Pineda Mexico Gibrán Fuentes-Pineda's profile →
Citations per field
00.5×1.5×1.8×
Gibrán Fuentes-Pineda · 1×
Citations per year

Countries citing papers authored by Andreas Noll

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Noll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Andreas Noll, 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 Andreas Noll Line = papers co-authored together Andreas Noll 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 199264
2 201829
3 202023
4 200518
5 202117
6 199115
7 201814
8 202114
9 20229
10 20038
11 20214
12 20054
13 20204
14 20234
15 20213
16 19903
17 20202
18 20151
19 19931
20 19951

About Andreas Noll

Andreas Noll is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Biomedical Engineering and Mechanical Engineering, having authored 23 papers that have together received 238 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (9 papers), Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (5 papers), Speech and dialogue systems (3 papers), Teleoperation and Haptic Systems (3 papers), Music and Audio Processing (3 papers), Algorithms and Data Compression (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Signal Processing (71 citations), Human-Computer Interaction (33 citations), Cognitive Neuroscience (88 citations), Artificial Intelligence (95 citations) and Computer Vision and Pattern Recognition (50 citations). Andreas Noll has collaborated with scholars based in Germany, Finland and China. Frequent co-authors include Hermann Ney, Eckehard Steinbach, Dieter Mergel, Matti Strese, Qian Liu, Rania Hassen, Shu Li, Peter Meyer, Markus Hofbauer and Xiao Xu. Their work appears in journals such as IEEE Transactions on Haptics, Neuro-Oncology, The Journal of the Acoustical Society of America, Speech Communication and IEEE Transactions on Speech and Audio Processing.

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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