Marino Pagan

449 total citations
9 papers, 214 citations indexed

About

Marino Pagan is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marino Pagan has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 2 papers in Artificial Intelligence and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Marino Pagan's work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (5 papers) and Neural and Behavioral Psychology Studies (3 papers). Marino Pagan is often cited by papers focused on Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (5 papers) and Neural and Behavioral Psychology Studies (3 papers). Marino Pagan collaborates with scholars based in United States, United Kingdom and Switzerland. Marino Pagan's co-authors include Nicole C. Rust, Margot Wohl, Riccardo Zecchina, Alireza Alemi, Davide Zoccolan, James J. DiCarlo, Carlo Baldassi, Eero P. Simoncelli, Charles D. Kopec and Jeffrey C. Erlich and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Marino Pagan

8 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marino Pagan United States	6	200	43	30	30	15	9	214
Timm Lochmann France	4	157 0.8×	47 1.1×	14 0.5×	26 0.9×	19 1.3×	8	178
Arnulf Graf United States	8	251 1.3×	98 2.3×	27 0.9×	39 1.3×	12 0.8×	11	291
Till S. Hartmann United States	6	202 1.0×	38 0.9×	36 1.2×	19 0.6×	13 0.9×	11	231
Matthew J. Aburn Australia	6	195 1.0×	36 0.8×	14 0.5×	11 0.4×	28 1.9×	6	258
Elisa M. Tartaglia Switzerland	9	239 1.2×	37 0.9×	8 0.3×	15 0.5×	32 2.1×	16	274
Julie Martin United States	3	210 1.1×	34 0.8×	40 1.3×	11 0.4×	14 0.9×	6	241
Hui Song China	4	187 0.9×	35 0.8×	9 0.3×	39 1.3×	15 1.0×	6	241
Benjamin R. Cowley United States	7	214 1.1×	103 2.4×	12 0.4×	25 0.8×	4 0.3×	10	257
Oliver W. Layton United States	11	244 1.2×	39 0.9×	68 2.3×	13 0.4×	9 0.6×	29	275
Falko R. Kaule Germany	6	266 1.3×	20 0.5×	29 1.0×	9 0.3×	26 1.7×	8	326

Countries citing papers authored by Marino Pagan

Since Specialization

Citations

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

Fields of papers citing papers by Marino Pagan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marino Pagan

This figure shows the co-authorship network connecting the top 25 collaborators of Marino Pagan. A scholar is included among the top collaborators of Marino Pagan 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 Marino Pagan. Marino Pagan 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:

9 of 9 papers shown

1.

Pagan, Marino. (2025). This paper changed my life: Marino Pagan recalls a decision-making study from four titans in the field.

2.

Pagan, Marino, V. Tang, Mikio Aoi, et al.. (2024). Individual variability of neural computations underlying flexible decisions. Nature. 639(8054). 421–429. 4 indexed citations

3.

Duan, Chunyu A., Marino Pagan, Alex T. Piet, et al.. (2021). Collicular circuits for flexible sensorimotor routing. Nature Neuroscience. 24(8). 1110–1120. 20 indexed citations

4.

Pagan, Marino, Eero P. Simoncelli, & Nicole C. Rust. (2016). Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. Neural Computation. 28(11). 2291–2319. 15 indexed citations

5.

Pagan, Marino & Nicole C. Rust. (2014). Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance. Journal of Neurophysiology. 112(6). 1584–1598. 12 indexed citations

6.

Pagan, Marino & Nicole C. Rust. (2014). Dynamic Target Match Signals in Perirhinal Cortex Can Be Explained by Instantaneous Computations That Act on Dynamic Input from Inferotemporal Cortex. Journal of Neuroscience. 34(33). 11067–11084. 9 indexed citations

7.

Pagan, Marino, Eero P. Simoncelli, & Nicole C. Rust. (2014). A generalization of the Energy model explains the transformation from IT to Perirhinal cortex. Journal of Vision. 14(15). 78–78. 1 indexed citations

8.

Baldassi, Carlo, Alireza Alemi, Marino Pagan, et al.. (2013). Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Computational Biology. 9(8). e1003167–e1003167. 73 indexed citations

9.

Pagan, Marino, et al.. (2013). Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information. Nature Neuroscience. 16(8). 1132–1139. 80 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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