Mattia Rigotti

5.3k total citations · 3 hit papers
24 papers, 2.8k citations indexed

About

Mattia Rigotti is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mattia Rigotti has authored 24 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 14 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mattia Rigotti's work include Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Mattia Rigotti is often cited by papers focused on Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Mattia Rigotti collaborates with scholars based in United States, Switzerland and Netherlands. Mattia Rigotti's co-authors include Stefano Fusi, Earl K. Miller, Omri Barak, Melissa R. Warden, Xiao‐Jing Wang, Nathaniel D. Daw, C. Daniel Salzman, Susanne E. Ahmari, Timothy Spellman and Joseph A. Gogos and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Mattia Rigotti

23 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The importance of mixed selectivity in complex cognitive tasks

2013 972 citations Mattia Rigotti, Omri Barak et al. Nature profile →
Hippocampal–prefrontal input supports spatial encoding in working memory

2015 474 citations Timothy Spellman, Mattia Rigotti et al. Nature profile →
Why neurons mix: high dimensionality for higher cognition

2016 415 citations Stefano Fusi, Earl K. Miller et al. Current Opinion in Neurobiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mattia Rigotti United States	15	2.3k	826	415	306	205	24	2.8k
Blake A. Richards Canada	24	1.8k 0.8×	1.3k 1.6×	292 0.7×	321 1.0×	230 1.1×	52	3.0k
Ueli Rutishauser United States	35	3.3k 1.4×	1.1k 1.4×	184 0.4×	331 1.1×	253 1.2×	84	4.3k
Kechen Zhang United States	19	1.8k 0.8×	1.0k 1.2×	207 0.5×	159 0.5×	101 0.5×	45	2.3k
Dmitriy Aronov United States	22	2.2k 0.9×	1.7k 2.0×	179 0.4×	270 0.9×	186 0.9×	27	3.1k
Mikael Lundqvist Sweden	21	2.4k 1.0×	797 1.0×	167 0.4×	314 1.0×	91 0.4×	38	2.7k
Timothy J. Buschman United States	26	4.8k 2.1×	1.2k 1.4×	209 0.5×	203 0.7×	279 1.4×	46	5.4k
Mehdi Khamassi France	21	1.9k 0.8×	1.1k 1.3×	221 0.5×	58 0.2×	190 0.9×	60	2.4k
Hyojung Seo United States	20	2.0k 0.8×	437 0.5×	159 0.4×	99 0.3×	197 1.0×	32	2.3k
Shaul Druckmann United States	23	1.8k 0.8×	1.5k 1.8×	177 0.4×	354 1.2×	89 0.4×	43	2.7k
Jamie D. Roitman United States	17	2.3k 1.0×	541 0.7×	185 0.4×	77 0.3×	165 0.8×	26	2.9k

Countries citing papers authored by Mattia Rigotti

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Rigotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Rigotti

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Rigotti. A scholar is included among the top collaborators of Mattia Rigotti 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 Mattia Rigotti. Mattia Rigotti 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

Tye, Kay M., et al.. (2024). Mixed selectivity: Cellular computations for complexity. Neuron. 112(14). 2289–2303. 23 indexed citations

Belgodere, Brian, Igor Melnyk, Youssef Mroueh, et al.. (2024). Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 1–1. 4 indexed citations

Allaix, Diego Lorenzo, et al.. (2023). Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance. ce/papers. 6(5). 592–599. 4 indexed citations

Melnyk, Igor, Youssef Mroueh, Inkit Padhi, et al.. (2022). Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. Journal of Artificial Intelligence Research. 73. 437–459. 25 indexed citations

Ito, Takuya, et al.. (2022). Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks. 32225–32239.

Kaufman, Matthew T., Marcus K. Benna, Mattia Rigotti, et al.. (2022). The implications of categorical and category-free mixed selectivity on representational geometries. Current Opinion in Neurobiology. 77. 102644–102644. 17 indexed citations

Recanatesi, Stefano, et al.. (2021). Predictive learning as a network mechanism for extracting low-dimensional latent space representations. Nature Communications. 12(1). 1417–1417. 40 indexed citations

Zhu, Rong & Mattia Rigotti. (2021). Self-correcting Q-learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11185–11192. 6 indexed citations

Bernardi, Silvia, Marcus K. Benna, Mattia Rigotti, et al.. (2020). The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex. Cell. 183(4). 954–967.e21. 207 indexed citations

10.

Rasch, Malte J., Tayfun Gokmen, Mattia Rigotti, & Wilfried Haensch. (2019). RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays. Frontiers in Neuroscience. 13. 753–753. 7 indexed citations

11.

Munuera, Jérôme, Mattia Rigotti, & C. Daniel Salzman. (2018). Shared neural coding for social hierarchy and reward value in primate amygdala. Nature Neuroscience. 21(3). 415–423. 76 indexed citations

12.

Lindsay, Grace W., Mattia Rigotti, Melissa R. Warden, Earl K. Miller, & Stefano Fusi. (2017). Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex. Journal of Neuroscience. 37(45). 11021–11036. 30 indexed citations

13.

Fusi, Stefano, Earl K. Miller, & Mattia Rigotti. (2016). Why neurons mix: high dimensionality for higher cognition. Current Opinion in Neurobiology. 37. 66–74. 415 indexed citations breakdown →

14.

Saez, Alex, Mattia Rigotti, Srdjan Ostojic, Stefano Fusi, & C. Daniel Salzman. (2015). Abstract Context Representations in Primate Amygdala and Prefrontal Cortex. Neuron. 87(4). 869–881. 115 indexed citations

15.

Spellman, Timothy, Mattia Rigotti, Susanne E. Ahmari, et al.. (2015). Hippocampal–prefrontal input supports spatial encoding in working memory. Nature. 522(7556). 309–314. 474 indexed citations breakdown →

16.

Barak, Omri, Mattia Rigotti, & Stefano Fusi. (2013). The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off. Journal of Neuroscience. 33(9). 3844–3856. 128 indexed citations

17.

Rigotti, Mattia, Omri Barak, Melissa R. Warden, et al.. (2013). The importance of mixed selectivity in complex cognitive tasks. Nature. 497(7451). 585–590. 972 indexed citations breakdown →

18.

Barak, Omri & Mattia Rigotti. (2011). A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition. Neural Computation. 23(8). 1935–1943. 10 indexed citations

19.

Rigotti, Mattia, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, & Stefano Fusi. (2010). Attractor concretion as a mechanism for the formation of context representations. NeuroImage. 52(3). 833–847. 34 indexed citations

20.

Rigotti, Mattia. (2010). Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses. Frontiers in Computational Neuroscience. 4. 24–24. 138 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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