A. J. Noest

1.1k total citations
30 papers, 918 citations indexed

About

A. J. Noest is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, A. J. Noest has authored 30 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in A. J. Noest's work include Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (10 papers) and Neural Networks and Applications (4 papers). A. J. Noest is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (10 papers) and Neural Networks and Applications (4 papers). A. J. Noest collaborates with scholars based in Netherlands and United Kingdom. A. J. Noest's co-authors include Raymond van Ee, A. V. van den Berg, Richard van Wezel, Martin Nijs, Jan W. Brascamp, Richard H. A. H. Jacobs, Paulien Hogeweg, G. Sander van Doorn, N. M. M. Nibbering and P. Christiaan Klink and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

A. J. Noest

30 papers receiving 889 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. J. Noest Netherlands	16	586	133	111	92	76	30	918
Andreas Dubs Australia	6	695 1.2×	66 0.5×	62 0.6×	441 4.8×	44 0.6×	6	1.1k
Noah C. Benson United States	19	880 1.5×	45 0.3×	31 0.3×	116 1.3×	59 0.8×	50	1.4k
Geoffrey D. Lewen United States	11	1.2k 2.0×	29 0.2×	157 1.4×	687 7.5×	29 0.4×	16	1.7k
T. W. Barrett United States	13	267 0.5×	18 0.1×	119 1.1×	84 0.9×	47 0.6×	84	929
Stanley J. Schein United States	11	620 1.1×	20 0.2×	99 0.9×	488 5.3×	54 0.7×	13	1.7k
Hagit Hel‐Or Israel	19	80 0.1×	52 0.4×	77 0.7×	10 0.1×	43 0.6×	62	1.3k
Yoshiki Kashimori Japan	11	203 0.3×	23 0.2×	60 0.5×	75 0.8×	15 0.2×	68	509
Patrick D. Roberts United States	22	741 1.3×	8 0.1×	115 1.0×	356 3.9×	22 0.3×	52	1.3k
A. Borsellino Italy	13	321 0.5×	5 0.0×	88 0.8×	215 2.3×	24 0.3×	23	739
Robert Fox United States	12	493 0.8×	5 0.0×	62 0.6×	54 0.6×	43 0.6×	34	619

Countries citing papers authored by A. J. Noest

Since Specialization

Citations

This map shows the geographic impact of A. 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 A. 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 A. J. Noest more than expected).

Fields of papers citing papers by A. J. Noest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. Noest

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Noest. A scholar is included among the top collaborators of A. J. Noest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. J. Noest. A. J. Noest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Noest, A. J., et al.. (2013). Saccade Target Selection Relies on Feedback Competitive Signal Integration. Journal of Neuroscience. 33(29). 12077–12089. 4 indexed citations

Brascamp, Jan W., A. J. Noest, Raymond van Ee, & A. V. van den Berg. (2010). Transition phases show the importance of noise in binocular rivalry. Journal of Vision. 6(6). 845–845. 1 indexed citations

Klink, P. Christiaan, et al.. (2009). Occlusion-related lateral connections stabilize kinetic depth stimuli through perceptual coupling. Journal of Vision. 9(10). 20–20. 18 indexed citations

Klink, P. Christiaan, Raymond van Ee, Martin Nijs, et al.. (2008). Early interactions between neuronal adaptation and voluntary control determine perceptual choices in bistable vision. Journal of Vision. 8(5). 16–16. 85 indexed citations

Noest, A. J., Raymond van Ee, Richard van Wezel, P. Christiaan Klink, & Martin Nijs. (2007). Bistable percept-choice dynamics explained by early interactions between stimulus timing, voluntary bias, and perceptual history. Perception. 36. 143–143. 1 indexed citations

Noest, A. J., Raymond van Ee, Martin Nijs, & Richard van Wezel. (2007). Percept-choice sequences driven by interrupted ambiguous stimuli: A low-level neural model. Journal of Vision. 7(8). 10–10. 183 indexed citations

Ee, Raymond van, et al.. (2006). Attentional control over either of the two competing percepts for the Necker cube. Perception. 35. 0–0. 1 indexed citations

Noest, A. J., Raymond van Ee, & A. V. van den Berg. (2006). Direct extraction of curvature-based metric shape from stereo by view-modulated receptive fields. Biological Cybernetics. 95(5). 455–486. 4 indexed citations

Ee, Raymond van, A. J. Noest, Jan W. Brascamp, & A. V. van den Berg. (2006). Attentional control over either of the two competing percepts of ambiguous stimuli revealed by a two-parameter analysis: Means do not make the difference. Vision Research. 46(19). 3129–3141. 34 indexed citations

10.

Brascamp, Jan W., Raymond van Ee, A. J. Noest, Richard H. A. H. Jacobs, & A. V. van den Berg. (2006). The time course of binocular rivalry reveals a fundamental role of noise. Journal of Vision. 6(11). 8–8. 177 indexed citations

11.

Noest, A. J.. (1997). Instability of the sexual continuum. Proceedings of the Royal Society B Biological Sciences. 264(1386). 1389–1393. 18 indexed citations

12.

Haan, Erik de, et al.. (1995). Shape from shaded random surfaces. Vision Research. 35(21). 2985–3001. 15 indexed citations

13.

Boulton, John & A. J. Noest. (1994). The mechanism underlying the detection of non-Fourier motion is tuned to velocity and not temporal frequency. Perception. 23(7). 51–51. 1 indexed citations

14.

Noest, A. J. & A. V. van den Berg. (1993). The role of early mechanisms in motion transparency and coherence. Spatial Vision. 7(2). 125–147. 27 indexed citations

15.

Berg, A. V. van den & A. J. Noest. (1993). Motion transparency and coherence in plaids: the role of end-stopped cells. Experimental Brain Research. 96(3). 519–533. 16 indexed citations

16.

Coolen, A C C & A. J. Noest. (1990). Selective pattern recall in neural networks by chemical modulation. Journal of Physics A Mathematical and General. 23(4). 575–579. 5 indexed citations

17.

Noest, A. J., et al.. (1983). Aspects of FT-ICR software—III. Computers & Chemistry. 7(2). 81–86. 49 indexed citations

18.

Noest, A. J. & N. M. M. Nibbering. (1980). Concerning the gas-phase enolate anion from acetone. International Journal of Mass Spectrometry and Ion Physics. 34(3-4). 383–385. 6 indexed citations

19.

Dawson, John H., A. J. Noest, & N. M. M. Nibbering. (1979). The gas phase allyl anion. International Journal of Mass Spectrometry and Ion Physics. 29(3). 205–222. 11 indexed citations

20.

Noest, A. J., et al.. (1977). Deconvolution of composite metastable peaks: A new method for the determination of metastable transitions occurring in the first field free region. Organic Mass Spectrometry. 12(7). 419–420. 14 indexed citations

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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