Eva Camacho-Cuena

467 citations
29 papers · 227 indexed · h-index 10
Topics
Experimental Behavioral Economics Studies (10 papers)Economic and Environmental Valuation (9 papers)Complex Systems and Time Series Analysis (9 papers)
Journals
SHILAP Revista de lepidopterologíaEcological EconomicsJournal of Banking & Finance
Partner nations
SpainGermanyItaly

In The Last Decade

Eva Camacho-Cuena

28 papers receiving 212 citations

Peers

Eva Camacho-Cuena
Comparison fields: 5 of 64
  • Economics and Econometrics 147
  • Finance 50
  • Safety Research 50
  • Strategy and Management 30
  • Marketing 29
Replace M. Ángeles Caraballo with:
M. Ángeles Caraballo Spain
Carmen F. Menezes United States
Bhanwar Singh India
Stéphane Mussard France
Atif Kubursi Canada
Dasol Kim United States
Ronald Cummings United States
Zhen Huo United States
Henri Loubergé Switzerland
Evan Kwerel United States
Eva Camacho-Cuena relative to M. Ángeles Caraballo Spain M. Ángeles Caraballo's profile →
Citations per field
00.5×7.5×
M. Ángeles Caraballo · 1×
Citations per year

Countries citing papers authored by Eva Camacho-Cuena

Since Specialization
Citations

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

Fields of papers citing papers by Eva Camacho-Cuena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Camacho-Cuena. 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 Eva Camacho-Cuena. The network helps show where Eva Camacho-Cuena may publish in the future.

Co-authorship network of co-authors of Eva Camacho-Cuena

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 28
5 4
6 3
7
Centralized vs decentralized markets in the laboratory: The role of connectivity
1
8 5
9 3
10 1
11 13
12 1
13 6
14 7
15 13
16 16
17 13
18 17
19 18
20 1

About Eva Camacho-Cuena

Eva Camacho-Cuena is a scholar working on General Decision Sciences, Safety Research and Finance, having authored 29 papers that have together received 227 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (10 papers), Economic and Environmental Valuation (9 papers) and Complex Systems and Time Series Analysis (9 papers). The work is most often cited by research in General Decision Sciences (23 citations), Safety Research (50 citations) and Economics and Econometrics (147 citations). Eva Camacho-Cuena has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Till Requate, Simone Alfarano, Aurora Garcı́a-Gallego, Nikolaos Georgantzı́s, Gerardo Sabater‐Grande, Annarita Colasante, Israel Waichman, Mauro Gallegati, José L. Zofío and Andrea Morone. Their work appears in journals such as SHILAP Revista de lepidopterología, Ecological Economics and Journal of Banking & Finance.

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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