André J. Noest

1.3k citations
22 papers · 1.0k · h-index 14

Impact in

Papers in

    • Neural dynamics and brain function 7
    • Visual perception and processing mechanisms 5
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3

André J. Noest

21 papers receiving 978 citations

Peers

André J. Noest
Comparison fields: 5 of 112
  • Cognitive Neuroscience 408
  • Statistical and Nonlinear Physics 194
  • Virology 66
  • Condensed Matter Physics 131
  • Mathematical Physics 92
Replace Jacques Bélair with:
Jacques Bélair Canada
Yueheng Lan China
Ney Lemke Brazil
Stefano Bo Italy
José F. Fontanari Brazil
Annick Dhooge Belgium
L.H.A. Monteiro Brazil
Marco Thiel United Kingdom
Maximino Aldana Mexico
Johannes Berg Germany
André J. Noest relative to Jacques Bélair Canada Jacques Bélair's profile →
Citations per field
00.5×4.4×
Jacques Bélair · 1×
Citations per year

Countries citing papers authored by André J. Noest

Since Specialization
Citations

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

Fields of papers citing papers by André J. Noest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André J. Noest. 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 André J. Noest. The network helps show where André J. Noest may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991324
2 2008107
3 198695
4 198881
5 199856
6 200353
7 198851
8 199945
9
Phasor Neural Networks
198734
10 199831
11 200430
12 199928
13 200020
14 198916
15 201310
16 20117
17 19877
18 20113
19 20123
20 19962

About André J. Noest

André J. Noest is a scholar working on Cognitive Neuroscience, Immunology, Statistical and Nonlinear Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), T-cell and B-cell Immunology (5 papers), Visual perception and processing mechanisms (5 papers), Immune Cell Function and Interaction (3 papers), Neural Networks and Applications (3 papers), Multisensory perception and integration (2 papers), Stochastic processes and statistical mechanics (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Cognitive Neuroscience (408 citations), Statistical and Nonlinear Physics (194 citations), Virology (66 citations), Condensed Matter Physics (131 citations) and Mathematical Physics (92 citations). André J. Noest has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include J.P. Pijn, F.H. Lopes da Silva, Jan van Neerven, Rob J. de Boer, José A. M. Borghans, A. V. van den Berg, Raymond van Ee, Ryota Kanai, Tomas Knapen and Jan W. Brascamp. Their work appears in journals such as Physical Review Letters, PLoS ONE, The Journal of Immunology, Perception and Proceedings of the Royal Society B Biological 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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