Stefano Anzellotti

1.7k total citations
39 papers, 1000 citations indexed

About

Stefano Anzellotti is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefano Anzellotti has authored 39 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefano Anzellotti's work include Face Recognition and Perception (22 papers), Neural dynamics and brain function (11 papers) and Functional Brain Connectivity Studies (9 papers). Stefano Anzellotti is often cited by papers focused on Face Recognition and Perception (22 papers), Neural dynamics and brain function (11 papers) and Functional Brain Connectivity Studies (9 papers). Stefano Anzellotti collaborates with scholars based in United States, Italy and United Kingdom. Stefano Anzellotti's co-authors include Alfonso Caramazza, Bradford Z. Mahon, Jens Schwarzbach, Scott L. Fairhall, Massimiliano Zampini, Alfonso Caramazza, Marc N. Coutanche, Angelika Lingnau, Lukas Strnad and Rebecca Saxe and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Stefano Anzellotti

37 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Anzellotti United States 14 869 293 276 105 84 39 1000
Naseem Al-Aidroos Canada 18 913 1.1× 137 0.5× 236 0.9× 77 0.7× 56 0.7× 44 1.0k
Po‐Jang Hsieh Singapore 14 939 1.1× 148 0.5× 182 0.7× 165 1.6× 43 0.5× 42 1.1k
Stephan Boehm United Kingdom 17 1.1k 1.3× 205 0.7× 308 1.1× 72 0.7× 48 0.6× 32 1.3k
Tal Makovski United States 22 1.4k 1.6× 250 0.9× 346 1.3× 79 0.8× 102 1.2× 46 1.5k
Ido Davidesco United States 14 948 1.1× 306 1.0× 175 0.6× 160 1.5× 31 0.4× 32 1.2k
Jean Mary Zarate United States 14 758 0.9× 140 0.5× 307 1.1× 76 0.7× 43 0.5× 18 928
Johan Hulleman United Kingdom 20 969 1.1× 160 0.5× 248 0.9× 54 0.5× 165 2.0× 52 1.2k
Jason M. Scimeca United States 15 889 1.0× 237 0.8× 194 0.7× 87 0.8× 66 0.8× 19 1.1k
Eunice Yang United States 8 1.1k 1.3× 190 0.6× 251 0.9× 35 0.3× 67 0.8× 11 1.3k
Elise A. Piazza United States 13 422 0.5× 160 0.5× 186 0.7× 107 1.0× 52 0.6× 23 652

Countries citing papers authored by Stefano Anzellotti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Anzellotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Anzellotti

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

All Works

20 of 20 papers shown
1.
Williams, D. Clive, et al.. (2024). A fear conditioned cue orchestrates a suite of behaviors in rats. eLife. 13. 8 indexed citations
2.
Chen, Guangyi, et al.. (2024). Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. 55–64. 1 indexed citations
3.
Anzellotti, Stefano, et al.. (2023). Multivariate connectivity: A brief introduction and an open question. Frontiers in Neuroscience. 16. 1082120–1082120.
4.
Anzellotti, Stefano, et al.. (2023). Disentangling disorder-specific variation is key for precision psychiatry in autism. Frontiers in Behavioral Neuroscience. 17. 1121017–1121017. 1 indexed citations
5.
Ivanova, Anna A., Martin Schrimpf, Stefano Anzellotti, et al.. (2022). Beyond linear regression: mapping models in cognitive neuroscience should align with research goals. arXiv (Cornell University). 1. 2 indexed citations
6.
Anzellotti, Stefano, et al.. (2022). PyMVPD: A Toolbox for Multivariate Pattern Dependence. Frontiers in Neuroinformatics. 16. 835772–835772. 4 indexed citations
7.
Anzellotti, Stefano, et al.. (2022). Functional coordinates: Modeling interactions between brain regions as points in a function space. Network Neuroscience. 6(4). 1296–1315. 3 indexed citations
8.
Anzellotti, Stefano, et al.. (2021). Controlling for Spurious Nonlinear Dependence in Connectivity Analyses. Neuroinformatics. 20(3). 599–611. 6 indexed citations
9.
Kim, Minjae, Peter Mende‐Siedlecki, Stefano Anzellotti, & Liane Young. (2020). Theory of Mind Following the Violation of Strong and Weak Prior Beliefs. Cerebral Cortex. 31(2). 884–898. 13 indexed citations
10.
Anzellotti, Stefano, et al.. (2019). Leveraging facial expressions and contextual information to investigate opaque representations of emotions.. Emotion. 21(1). 96–107. 7 indexed citations
11.
Anzellotti, Stefano & Liane Young. (2019). The Acquisition of Person Knowledge. Annual Review of Psychology. 71(1). 613–634. 10 indexed citations
12.
Anzellotti, Stefano & Marc N. Coutanche. (2018). Beyond Functional Connectivity: Investigating Networks of Multivariate Representations. Trends in Cognitive Sciences. 22(3). 258–269. 87 indexed citations
13.
Anzellotti, Stefano & Alfonso Caramazza. (2017). Multimodal representations of person identity individuated with fMRI. Cortex. 89. 85–97. 32 indexed citations
14.
Anzellotti, Stefano, Dorit Kliemann, Nir Jacoby, & Rebecca Saxe. (2017). Directed network discovery with dynamic network modelling. Neuropsychologia. 99. 1–11. 9 indexed citations
15.
Anzellotti, Stefano, Alfonso Caramazza, & Rebecca Saxe. (2017). Multivariate pattern dependence. PLoS Computational Biology. 13(11). e1005799–e1005799. 29 indexed citations
16.
Kliemann, Dorit, Nir Jacoby, Stefano Anzellotti, & Rebecca Saxe. (2016). Decoding task and stimulus representations in face-responsive cortex. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
17.
Anzellotti, Stefano & Alfonso Caramazza. (2015). From Parts to Identity: Invariance and Sensitivity of Face Representations to Different Face Halves. Cerebral Cortex. 26(5). 1900–1909. 25 indexed citations
18.
Anzellotti, Stefano & Alfonso Caramazza. (2013). Individuating the neural bases for the recognition of conspecifics with MVPA. NeuroImage. 89. 165–170. 7 indexed citations
19.
Anzellotti, Stefano, Scott L. Fairhall, & Alfonso Caramazza. (2013). Decoding Representations of Face Identity That are Tolerant to Rotation. Cerebral Cortex. 24(8). 1988–1995. 123 indexed citations
20.
Fairhall, Scott L., Stefano Anzellotti, Petra E. Pajtas, & Alfonso Caramazza. (2011). Concordance between perceptual and categorical repetition effects in the ventral visual stream. Journal of Neurophysiology. 106(1). 398–408. 13 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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