Adam Ponzi

403 citations
22 papers · 240 · h-index 8

Impact in

Papers in

Adam Ponzi

22 papers receiving 236 citations

Peers

Adam Ponzi
Comparison fields: 5 of 50
  • Cognitive Neuroscience 149
  • Cellular and Molecular Neuroscience 99
  • Neurology 39
  • Finance 26
  • Statistical and Nonlinear Physics 28
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Malenka Mader Germany
Christian Geier Germany
Federico Esposti Italy
Arno Onken United Kingdom
Frigyes Sámuel Rácz Hungary
Clayton Haldeman United States
Elakkat D. Gireesh United States
Timo Bröhl Germany
Man Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Adam Ponzi

Since Specialization
Citations

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

Fields of papers citing papers by Adam Ponzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Adam Ponzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adam Ponzi Line = papers co-authored together Adam Ponzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201079
2 201335
3 200926
4 201223
5 202311
6 200010
7 20089
8 20007
9 20206
10
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
20086
11 20006
12 20245
13 20034
14 20063
15 20172
16 20222
17 20131
18 20081
19 20101
20 20071

About Adam Ponzi

Adam Ponzi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 22 papers that have together received 240 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (5 papers), Complex Systems and Time Series Analysis (5 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Music Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (149 citations), Cellular and Molecular Neuroscience (99 citations), Neurology (39 citations), Finance (26 citations) and Statistical and Nonlinear Physics (28 citations). Adam Ponzi has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Jeffery R. Wickens, Yoshiyasu Aizawa, Rosario N. Mantegna, Fabrizio Lillo, Salvador Durá-Bernal, Michele Migliore, Kunihiko Kaneko, Scott J. Barton, James Kozloski and George V. Rebec. Their work appears in journals such as PLoS Computational Biology, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, BMC Neuroscience and Journal of Neuroscience.

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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