Giulia Lopez

15 papers receiving 2.2k citations

Giulia Lopez's Hit Papers

Contrasting Computational Models of Mate Preference Integration Across 45 Countries 2019 · 1.7k citations
1.7k0+2+4Years since publication50010001.5k

Peers

Giulia Lopez
Comparison fields: 5 of 201
  • Experimental and Cognitive Psychology 335
  • Social Psychology 206
  • Cognitive Neuroscience 163
  • Applied Psychology 36
  • Pollution 86
Replace Mária Haľamová with:
Mária Haľamová Poland
Chiemezie Scholastica Atama Nigeria
Richard Ayebare Poland
Sarah L. McKerchar Poland
Karina Ugalde González Poland
Aicha Bensafia Poland
Ernesto de León Switzerland
Derya Atamtürk Duyar Poland
Dwi Ajeng Widarini Poland
Georgina R. Lennard Poland
Giulia Lopez relative to Mária Haľamová Poland Mária Haľamová's profile →
Citations per field
00.5×1.5×
Mária Haľamová · 1×
Citations per year

Countries citing papers authored by Giulia Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Giulia Lopez, 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 Giulia Lopez Line = papers co-authored together Giulia Lopez links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Contrasting Computational Models of Mate Preference Integration Across 45 Countries
Hit paper breakdown →
20191724
2 2020209
3 202181
4 201938
5 202132
6 202029
7 202026
8 202325
9 202124
10 201913
11 20213
12 20252
13 20202
14 20171
15 20181
16 20251

About Giulia Lopez

Giulia Lopez is a scholar working on Experimental and Cognitive Psychology, Safety Research, Demography, Sociology and Political Science and Social Psychology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (7 papers), Attachment and Relationship Dynamics (4 papers), Child Welfare and Adoption (4 papers), Family Dynamics and Relationships (4 papers), Evolutionary Game Theory and Cooperation (3 papers), Intergenerational Family Dynamics and Caregiving (3 papers), COVID-19 and Mental Health (2 papers) and Marriage and Sexual Relationships (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (335 citations), Social Psychology (206 citations), Cognitive Neuroscience (163 citations), Applied Psychology (36 citations) and Pollution (86 citations). Giulia Lopez has collaborated with scholars based in Poland, Italy and Hungary. Frequent co-authors include Miriam Parise, Raffaella Iafrate, Ariela Francesca Pagani, Silvia Donato, Rosa Regina Rosnati, Elena Canzi, Anna Bertoni, Sonia Ranieri, Giada Rapelli and Laura Ferrari. Their work appears in journals such as Frontiers in Psychology, Scientific Reports, Evolution and Human Behavior, Family Relations and Proceedings of the Royal Society B Biological Sciences.

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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