Neil Weiss

856 citations
9 papers · 630 · h-index 8

Impact in

    • Neuroscience and Music Perception
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
  • Music top 5%
    • Diverse Music Education Insights

Papers in

Journals
Psychological Review (2 papers)Technometrics (2 papers)Journal of Statistical Planning and Inference (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)Addison-Wesley Longman Publishing Co., Inc. eBooks (1 paper)
Partner nations
United States

In The Last Decade

Neil Weiss

9 papers receiving 592 citations

Peers

Neil Weiss
Comparison fields: 5 of 156
  • Cognitive Neuroscience 227
  • Music 28
  • Statistics and Probability 60
  • Experimental and Cognitive Psychology 80
  • Signal Processing 37
Replace Yea‐Seul Kim with:
Yea‐Seul Kim United States
Michael Wilde United States
Andrew K. Clark Canada
David L. Dowe Australia
Manuel J. A. Eugster Finland
Daniel Kaiser Germany
Vincenzo Lombardo Italy
Madelyn Glymour United States
Loïc Lemoine France
Abe Dirk Hofman Netherlands
Neil Weiss relative to Yea‐Seul Kim United States Yea‐Seul Kim's profile →
Citations per field
00.5×4.7×
Yea‐Seul Kim · 1×
Citations per year

Countries citing papers authored by Neil Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Neil Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Neil Weiss, 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 Neil Weiss Line = papers co-authored together Neil Weiss links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1987211
2 1989165
3
A course in probability
2006101
4 198362
5
Elementary Statistics
198945
6 198818
7 198714
8
Elementary Statistics (7th Edition)
200712
9 19992

About Neil Weiss

Neil Weiss is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Statistics and Probability, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 9 papers that have together received 630 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (2 papers), Music Technology and Sound Studies (2 papers), Digital Filter Design and Implementation (1 paper), Neuroscience and Music Perception (1 paper), Music and Audio Processing (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Cognitive Neuroscience (227 citations), Music (28 citations), Statistics and Probability (60 citations), Experimental and Cognitive Psychology (80 citations) and Signal Processing (37 citations). Neil Weiss has collaborated with scholars based in United States. Frequent co-authors include Peter R. Killeen, Michael Clarke, Leone Y. Low and Paul D. Minton. Their work appears in journals such as Psychological Review, Technometrics, Journal of Statistical Planning and Inference, CERN Document Server (European Organization for Nuclear Research) and Addison-Wesley Longman Publishing Co., Inc. eBooks.

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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