Domenico Parisi

13.3k citations
133 papers · 6.9k · 4 hit papers · h-index 31

Impact in

Papers in

Domenico Parisi

121 papers receiving 6.3k citations

Domenico Parisi's Hit Papers

Defining and identifying communities in networks 2004 · 1.6k citations
1.6k0+10+20Years since publication50010001.5k

Peers

Domenico Parisi
Comparison fields: 5 of 181
  • Developmental and Educational Psychology 1.4k
  • Cultural Studies 841
  • Statistical and Nonlinear Physics 1.2k
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 674
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Citations per year

Countries citing papers authored by Domenico Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Domenico Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Domenico Parisi, 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 Domenico Parisi Line = papers co-authored together Domenico Parisi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Defining and identifying communities in networks
Hit paper breakdown →
20041588
2
Rethinking Innateness: A Connectionist Perspective on Development
Hit paper breakdown →
19961311
3
Rethinking Innateness
Hit paper breakdown →
1996734
4
Simulating the Evolution of Language
Hit paper breakdown →
2002300
5 2015192
6 1994192
7 2009182
8 2012179
9 1996130
10 1970112
11 2007110
12 1998107
13 201179
14 199477
15 199073
16 200066
17 200763
18 201560
19 200944
20 199443

About Domenico Parisi

Domenico Parisi is a scholar working on Sociology and Political Science, Artificial Intelligence, Cultural Studies, General Health Professions and Cognitive Neuroscience, having authored 133 papers that have together received 6.9k indexed citations. Recurring topics across this work include Urban, Neighborhood, and Segregation Studies (32 papers), Language and cultural evolution (21 papers), Evolutionary Game Theory and Cooperation (17 papers), Neural Networks and Applications (16 papers), Evolutionary Algorithms and Applications (10 papers), Homelessness and Social Issues (10 papers), Gender, Labor, and Family Dynamics (9 papers) and Child and Animal Learning Development (8 papers). The work is most often cited by research in Developmental and Educational Psychology (1.4k citations), Cultural Studies (841 citations), Statistical and Nonlinear Physics (1.2k citations), Cognitive Neuroscience (1.3k citations) and Experimental and Cognitive Psychology (674 citations). Domenico Parisi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Annette Karmiloff‐Smith, Kim Plunkett, Federico Cecconi, Michael Taquino, Daniel T. Lichter, M. Jackuelyn Harris, Vittorio Loreto, Filippo Radicchi, Claudio Castellano and Angelo Cangelosi. Their work appears in journals such as Adaptive Behavior, Neural Processing Letters, Network Computation in Neural Systems, Rural Sociology and Connection Science.

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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