María Pereda

29 papers receiving 397 citations

Peers

María Pereda
Comparison fields: 5 of 96
  • Management Science and Operations Research 92
  • Safety Research 55
  • Tourism, Leisure and Hospitality Management 6
  • General Decision Sciences 6
  • Statistics, Probability and Uncertainty 22
Replace Stefano Balietti with:
Stefano Balietti United States
Ragnar Fjelland Norway
Pranav Gupta United States
Zhaohui Sun United States
Chen Liu China
Hancheng Cao United States
Segismundo S. Izquierdo Spain
Haoxiang Xia China
Günter Ropohl Germany
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Citations per year

Countries citing papers authored by María Pereda

Since Specialization
Citations

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

Fields of papers citing papers by María Pereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201471
3 200755
4 201934
5 201624
6 201522
7 201917
8 202317
9 201716
10 201514
11 201810
12 20189
13 20189
14 20178
15 20237
16 20214
17 20114
18 20203
19 20153
20 20202

About María Pereda

María Pereda is a scholar working on Sociology and Political Science, Management Science and Operations Research, Statistical and Nonlinear Physics, Safety Research and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 418 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (10 papers), Experimental Behavioral Economics Studies (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Game Theory and Applications (3 papers), Evolution and Genetic Dynamics (3 papers) and Spacecraft Design and Technology (2 papers). The work is most often cited by research in Management Science and Operations Research (92 citations), Safety Research (55 citations), Tourism, Leisure and Hospitality Management (6 citations), General Decision Sciences (6 citations) and Statistics, Probability and Uncertainty (22 citations). María Pereda has collaborated with scholars based in Spain, United Kingdom and Argentina. Frequent co-authors include José Manuel Galán, José Ignacio Santos, Óscar Martín, Ángel Sánchez, Javier Pajares, David Poza, Fernando Acebes, Valerio Capraro, Ernesto Estrada and Alberto Antonioni. Their work appears in journals such as Scientific Reports, Physical review. E, Science and Technology of Welding & Joining, Journal of Materials Processing Technology and PLoS ONE.

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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