A. Casti

484 total citations
10 papers, 225 citations indexed

About

A. Casti is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, A. Casti has authored 10 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in A. Casti's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). A. Casti is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). A. Casti collaborates with scholars based in United States. A. Casti's co-authors include Youping Xiao, Ehud Kaplan, Jun Xiao, E. Kaplan, F. Hayot, Jonathan D. Victor, L. Sirovich, Andrew Sornborger, Ahmet Omurtag and B. W. Knight and has published in prestigious journals such as NeuroImage, Journal of Neurophysiology and Annals of the New York Academy of Sciences.

In The Last Decade

A. Casti

10 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Casti United States	6	196	99	51	41	24	10	225
Itay Baruchi Israel	11	258 1.3×	192 1.9×	38 0.7×	91 2.2×	23 1.0×	16	373
Sergei P. Rebrik United States	5	334 1.7×	189 1.9×	37 0.7×	24 0.6×	8 0.3×	7	376
Andreas Schierwagen Germany	10	117 0.6×	114 1.2×	54 1.1×	26 0.6×	11 0.5×	26	231
Vincent Bringuier France	7	580 3.0×	341 3.4×	46 0.9×	32 0.8×	25 1.0×	7	598
Hyoungsoo Yoon United States	5	261 1.3×	120 1.2×	36 0.7×	66 1.6×	14 0.6×	7	308
Julian M. L. Budd United Kingdom	9	326 1.7×	184 1.9×	35 0.7×	11 0.3×	5 0.2×	11	372
Ian M. Finn United States	4	509 2.6×	300 3.0×	47 0.9×	27 0.7×	12 0.5×	4	539
Iku Nemoto Japan	9	134 0.7×	22 0.2×	37 0.7×	30 0.7×	36 1.5×	19	343
Y. Imai Japan	7	233 1.2×	39 0.4×	18 0.4×	18 0.4×	8 0.3×	23	322
Leenoy Meshulam United States	4	133 0.7×	79 0.8×	28 0.5×	36 0.9×	5 0.2×	7	188

Countries citing papers authored by A. Casti

Since Specialization

Citations

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

Fields of papers citing papers by A. Casti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Casti

This figure shows the co-authorship network connecting the top 25 collaborators of A. Casti. A scholar is included among the top collaborators of A. Casti 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. Casti. A. Casti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Butts, Daniel A., Yuwei Cui, & A. Casti. (2016). Nonlinear computations shaping temporal processing of precortical vision. Journal of Neurophysiology. 116(3). 1344–1357. 7 indexed citations

2.

Babadi, Behtash, A. Casti, Youping Xiao, E. Kaplan, & Liam Paninski. (2010). A generalized linear model of the impact of direct and indirect inputs to the lateral geniculate nucleus. Journal of Vision. 10(10). 22–22. 26 indexed citations

3.

Trexler, E. Brady, A. Casti, & Yu Zhang. (2010). Nonlinearity and noise at the rod—rod bipolar cell synapse. Visual Neuroscience. 28(1). 61–68. 5 indexed citations

4.

Casti, A., F. Hayot, Youping Xiao, & Ehud Kaplan. (2007). A simple model of retina-LGN transmission. Journal of Computational Neuroscience. 24(2). 235–252. 43 indexed citations

5.

Casti, A., et al.. (2006). A spatially organised representation of colour in macaque primary visual cortex. Perception. 35. 0–0. 3 indexed citations

6.

Xiao, Youping, A. Casti, Jun Xiao, & Ehud Kaplan. (2006). Hue maps in primate striate cortex. NeuroImage. 35(2). 771–786. 79 indexed citations

7.

Casti, A., Ahmet Omurtag, Andrew Sornborger, et al.. (2002). A Population Study of Integrate-and-Fire-or-Burst Neurons. Neural Computation. 14(5). 957–986. 51 indexed citations

8.

Casti, A., P.J. Morrison, & E. A. Spiegel. (1998). Negative Energy Modes and Gravitational Instability of Interpenetrating Fluids. Annals of the New York Academy of Sciences. 867(1). 93–108. 5 indexed citations

9.

Balmforth, Neil J. & A. Casti. (1998). Convection in a slowly diffusing, weakly stratified salt field. Physics Letters A. 238(1). 35–42. 2 indexed citations

10.

Balmforth, Neil J., A. Casti, & Keith Julien. (1998). Thermohaline convection with nonlinear salt profiles. Physics of Fluids. 10(4). 819–828. 4 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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