Gamal Cerda

572 citations
49 papers · 381 indexed · h-index 13
Topics
Educational Outcomes and Influences (22 papers)Educational Innovations and Technology (12 papers)Mathematics Education and Teaching Techniques (12 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in PsychologyScandinavian Journal of Psychology
Partner nations
ChileSpainFrance

In The Last Decade

Gamal Cerda

45 papers receiving 365 citations

Peers

Gamal Cerda
Comparison fields: 5 of 47
  • Education 287
  • Statistics and Probability 99
  • Information Systems 85
  • Developmental and Educational Psychology 80
  • Social Psychology 61
Replace María Rosa Lissi with:
María Rosa Lissi Chile
Alfonso Barca Lozano Spain
Poldi Kuhl Germany
Robert J. Wright United States
Cristina Roces Spain
Sum Kwing Cheung Hong Kong
Kjersti Lundetræ Norway
Meichu Chen United States
Steven R. Guberman United States
Tanya Kaefer Canada
Gamal Cerda relative to María Rosa Lissi Chile María Rosa Lissi's profile →
Citations per field
00.5×3.8×
María Rosa Lissi · 1×
Citations per year

Countries citing papers authored by Gamal Cerda

Since Specialization
Citations

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

Fields of papers citing papers by Gamal Cerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gamal Cerda

This figure shows the co-authorship network connecting the top 25 collaborators of Gamal Cerda. A scholar is included among the top collaborators of Gamal Cerda 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 Gamal Cerda. Gamal Cerda 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 0
2 1
3 2
4 2
5 1
6 3
7 1
8 12
9 5
10 19
11 14
12 8
13 4
14 7
15 8
16 7
17 18
18 0
19 14
20
Influencia del aprendizaje de las ciencias en niños y niñas de educación parvularia y NB1. Estudio de casos
1

About Gamal Cerda

Gamal Cerda is a scholar working on Neuropsychology and Physiological Psychology, Statistics and Probability and Education, having authored 49 papers that have together received 381 indexed citations. Recurring topics across this work include Educational Outcomes and Influences (22 papers), Educational Innovations and Technology (12 papers) and Mathematics Education and Teaching Techniques (12 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (22 citations), Statistics and Probability (99 citations) and Education (287 citations). Gamal Cerda has collaborated with scholars based in Chile, Spain and France. Frequent co-authors include Estíbaliz Aragón, José A. Casas, Manuel Aguilar Villagrán, José Ignacio Navarro Guzmán, Rosario Ortega Ruiz, Carlos Pérez, Rosario Del Rey, Paz Elipe, Patricio Felmer and Pedro Salcedo. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Scandinavian Journal of Psychology.

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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