William M. Siebert

1.1k citations
13 papers · 705 · h-index 8

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
    • Neuroscience and Music Perception
    • Visual perception and processing mechanisms

Papers in

William M. Siebert

12 papers receiving 654 citations

Peers

William M. Siebert
Comparison fields: 5 of 98
  • Sensory Systems 129
  • Cognitive Neuroscience 283
  • Speech and Hearing 51
  • Signal Processing 60
  • Developmental Biology 10
Replace W. H. Huggins with:
W. H. Huggins United States
Man Mohan Sondhi United States
Kenneth D. Morton United States
José C. Segura Spain
Giovanni Vannucci United States
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Roberta Santoro Italy
Alister Hamilton United Kingdom
Laurent Girin France
J.G. Harris United States
William M. Siebert relative to W. H. Huggins United States W. H. Huggins's profile →
Citations per field
00.5×8.5×
W. H. Huggins · 1×
Citations per year

Countries citing papers authored by William M. Siebert

Since Specialization
Citations

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

Fields of papers citing papers by William M. Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Siebert. 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 William M. Siebert. The network helps show where William M. Siebert may publish in the future.

Co-authors

The 5 scholars most cited alongside William M. Siebert, 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 William M. Siebert Line = papers co-authored together William M. Siebert links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1985244
2 1970147
3 195690
4 196588
5 197445
6 196340
7
Processing Neuroelectric Data
195931
8 19888
9 19845
10 19783
11 19923
12 20021
13
The Dynamics of Feedback Systems
19850

About William M. Siebert

William M. Siebert is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence, History and Philosophy of Science and Statistical and Nonlinear Physics, having authored 13 papers that have together received 705 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Neural Networks and Applications (2 papers), Hearing Loss and Rehabilitation (2 papers), Analog and Mixed-Signal Circuit Design (2 papers), Acoustic Wave Phenomena Research (1 paper), Probabilistic and Robust Engineering Design (1 paper), Experimental Learning in Engineering (1 paper) and Low-power high-performance VLSI design (1 paper). The work is most often cited by research in Sensory Systems (129 citations), Cognitive Neuroscience (283 citations), Speech and Hearing (51 citations), Signal Processing (60 citations) and Developmental Biology (10 citations). William M. Siebert has collaborated with scholars based in United States. Frequent co-authors include John L. Wyatt, P. Penfield, Catherine Searle, John V. Guttag and Catherine L. Searle. Their work appears in journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America, IEEE Transactions on Information Theory, IEEE Transactions on Aerospace and Electronic Systems and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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