María Pampaka

1.6k total citations
67 papers, 960 citations indexed

About

María Pampaka is a scholar working on Education, Sociology and Political Science and Modeling and Simulation. According to data from OpenAlex, María Pampaka has authored 67 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Education, 17 papers in Sociology and Political Science and 12 papers in Modeling and Simulation. Recurrent topics in María Pampaka's work include Higher Education Research Studies (11 papers), Mathematics Education and Programs (11 papers) and Mathematics Education and Teaching Techniques (9 papers). María Pampaka is often cited by papers focused on Higher Education Research Studies (11 papers), Mathematics Education and Programs (11 papers) and Mathematics Education and Teaching Techniques (9 papers). María Pampaka collaborates with scholars based in United Kingdom, Cyprus and Chile. María Pampaka's co-authors include Julian Williams, Graeme Hutcheson, Geoff Wake, Paul Hernandez‐Martinez, Laura Black, P. Thompson Davis, Andreas Gregoriades, Wendy Olsen, Mark Elliot and Herodotos Herodotou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Antimicrobial Chemotherapy.

In The Last Decade

María Pampaka

62 papers receiving 888 citations

Peers

María Pampaka
Comparison fields: 5 of 134
  • Education 466
  • Sociology and Political Science 159
  • Modeling and Simulation 144
  • Experimental and Cognitive Psychology 83
  • Developmental and Educational Psychology 83
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Citations per field, relative to María Pampaka
María Pampaka · 1×
Citations per year, relative to María Pampaka
María Pampaka · 1×

Countries citing papers authored by María Pampaka

Since Specialization
Citations

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

Fields of papers citing papers by María Pampaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Pampaka

This figure shows the co-authorship network connecting the top 25 collaborators of María Pampaka. A scholar is included among the top collaborators of María Pampaka 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 María Pampaka. María Pampaka 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
# Work Indexed citations
1 11
2 1
3 3
4 0
5 92
6 25
7 3
8 7
9
Attitudes towards gender roles in family: A Rasch-based validation study
4
10 41
11 8
12
Revisiting Mathematical Attitudes of students in Secondary Education
5
13 95
14
Mathematical Problem Solving: Teachers' attitudes, knowledge, beliefs and practices
1
15 7
16 1
17
Cypriot teachers attitudes on bilingualism
3
18 6
19
Assessing Students' Learning in MIS Using Concept Mapping.
12
20
Keeping open the door to mathematically demanding programmes in further and higher education:: a cultural model of value
4

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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