Mario Pannunzi

15 papers receiving 306 citations

Peers

Mario Pannunzi
Comparison fields: 5 of 76
  • Cognitive Neuroscience 229
  • Experimental and Cognitive Psychology 53
  • Cellular and Molecular Neuroscience 50
  • Developmental and Educational Psychology 49
  • Radiology, Nuclear Medicine and Imaging 31
Replace Kristoffer C. Aberg with:
Kristoffer C. Aberg Switzerland
Marina Kunchulia Georgia
Tessa M. Dekker United Kingdom
A. R. Seitz United States
Jan Benner Germany
T. Watanabe United States
K. K. Narayanan United States
Barrie P. Klein Netherlands
Kyriaki Mikellidou Italy
Ramakrishna Chakravarthi United Kingdom
Mario Pannunzi relative to Kristoffer C. Aberg Switzerland Kristoffer C. Aberg's profile →
Citations per field
00.5×4.4×
Kristoffer C. Aberg · 1×
Citations per year

Countries citing papers authored by Mario Pannunzi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Pannunzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Pannunzi

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 6
2 34
3 3
4 66
5 13
6 53
7 3
8 11
9 15
10 24
11 6
12 1
13 56
14 20
15
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
1
16
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses which classifies overlapping patterns
1

About Mario Pannunzi

Mario Pannunzi is a scholar working on Sensory Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neural and Behavioral Psychology Studies (6 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (229 citations), General Decision Sciences (11 citations) and Sensory Systems (21 citations). Mario Pannunzi has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Gustavo Deco, Thomas Nowotny, Edmund T. Rolls, Albert Costa, Martin J. Pickering, Elisabeth Wenger, Nina Lisofsky, Johan Mårtensson, Elisa Filevich and Simone Kühn. Their work appears in journals such as NeuroImage, Journal of Neurophysiology and Neuroscience & Biobehavioral Reviews.

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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