Massimo Mascaro

985 total citations
10 papers, 324 citations indexed

About

Massimo Mascaro is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Massimo Mascaro has authored 10 papers receiving a total of 324 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 Computer Networks and Communications. Recurrent topics in Massimo Mascaro's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Motor Control and Adaptation (2 papers). Massimo Mascaro is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Motor Control and Adaptation (2 papers). Massimo Mascaro collaborates with scholars based in Italy and United States. Massimo Mascaro's co-authors include Yali Amit, Alexandra Battaglia‐Mayer, Roberto Caminiti, Daniel J. Amit, David C. Bradley, Stuart F. Cogan, Emiliano Brunamonti, Vernon L. Towle, Robert K. Erickson and Hong Xu and has published in prestigious journals such as Journal of Neurophysiology, Cerebral Cortex and Vision Research.

In The Last Decade

Massimo Mascaro

10 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Mascaro Italy	9	262	146	88	38	26	10	324
Rotem Drori Israel	9	276 1.1×	106 0.7×	46 0.5×	49 1.3×	59 2.3×	9	305
Dominic Standage Canada	12	279 1.1×	58 0.4×	38 0.4×	31 0.8×	8 0.3×	25	339
Benjamin Dann Germany	9	330 1.3×	105 0.7×	22 0.3×	33 0.9×	39 1.5×	10	382
Shreya Saxena United States	10	260 1.0×	114 0.8×	35 0.4×	14 0.4×	28 1.1×	25	368
Raeed H. Chowdhury United States	10	358 1.4×	150 1.0×	48 0.5×	30 0.8×	88 3.4×	16	472
Amy M. Ni United States	11	492 1.9×	262 1.8×	60 0.7×	9 0.2×	21 0.8×	15	548
Frostig Rd Israel	4	458 1.7×	253 1.7×	29 0.3×	11 0.3×	17 0.7×	9	512
Julien Vitay Germany	9	245 0.9×	102 0.7×	62 0.7×	14 0.4×	5 0.2×	20	341
Yaoyao Hao China	11	191 0.7×	136 0.9×	54 0.6×	12 0.3×	58 2.2×	26	267
Alireza Alemi United States	7	224 0.9×	73 0.5×	66 0.8×	24 0.6×	8 0.3×	8	273

Countries citing papers authored by Massimo Mascaro

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Mascaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Mascaro

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

All Works

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10 of 10 papers shown

Mascaro, Massimo, et al.. (2024). HDAC-driven mechanisms in anticancer resistance: epigenetics and beyond. Cancer Drug Resistance. 7. 46–46. 5 indexed citations

Battaglia‐Mayer, Alexandra, Massimo Mascaro, & Roberto Caminiti. (2006). Temporal Evolution and Strength of Neural Activity in Parietal Cortex during Eye and Hand Movements. Cerebral Cortex. 17(6). 1350–1363. 35 indexed citations

Battaglia‐Mayer, Alexandra, Massimo Mascaro, Emiliano Brunamonti, & Roberto Caminiti. (2004). The Over-representation of Contralateral Space in Parietal Cortex: A Positive Image of Directional Motor Components of Neglect?. Cerebral Cortex. 15(5). 514–525. 41 indexed citations

Bradley, David C., Philip R. Troyk, J. Berg, et al.. (2004). Visuotopic Mapping Through a Multichannel Stimulating Implant in Primate V1. Journal of Neurophysiology. 93(3). 1659–1670. 118 indexed citations

Bradley, David C., et al.. (2004). A relational database for trial-based behavioral experiments. Journal of Neuroscience Methods. 141(1). 75–82. 11 indexed citations

Mascaro, Massimo. (2003). The Eye and the Hand: Neural Mechanisms and Network Models for Oculomanual Coordination in Parietal Cortex. Cerebral Cortex. 13(12). 1276–1286. 32 indexed citations

Amit, Yali & Massimo Mascaro. (2003). An integrated network for invariant visual detection and recognition. Vision Research. 43(19). 2073–2088. 30 indexed citations

Amit, Yali & Massimo Mascaro. (2001). Attractor Networks for Shape Recognition. Neural Computation. 13(6). 1415–1442. 17 indexed citations

Mascaro, Massimo & Daniel J. Amit. (1999). Effective neural response function for collective population states. Network Computation in Neural Systems. 10(4). 351–373. 8 indexed citations

10.

Mascaro, Massimo & Daniel J. Amit. (1999). Effective neural response function for collective population states. Network Computation in Neural Systems. 10(4). 351–373. 27 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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