Daniel Suárez

531 citations
47 papers · 283 · h-index 9

Impact in

Papers in

    • Educational theories and practices 18
    • Education in Rural Contexts 17
    • Education and Teacher Training 7
    • Education Pedagogy and Practices 4
    • Educational Practices and Policies 3
    • Holomorphic and Operator Theory 4

Daniel Suárez

35 papers receiving 256 citations

Peers

Daniel Suárez
Comparison fields: 5 of 63
  • Hepatology 56
  • Applied Mathematics 45
  • Algebra and Number Theory 14
  • Education 73
  • Mathematical Physics 22
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201947
2 201833
3 199932
4 198228
5 201224
6 201411
7 199710
8 19989
9
Investigación-acción participativa en la educación latinoamericana: Un mapa de otra parte del mundo
20098
10
Narrativas, autobiografías y formación: una presentación y algunos comentarios
20117
11 20117
12 20217
13 20177
14
Espacio (auto)biográfico, investigación educativa y formación docente en Argentina: un mapa imperfecto de un territorio en expansión
20145
15 20174
16 20114
17 20164
18 20173
19 20043
20 20183

About Daniel Suárez

Daniel Suárez is a scholar working on Education, Applied Mathematics, Sociology and Political Science, Information Systems and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 283 indexed citations. Recurring topics across this work include Educational theories and practices (18 papers), Education in Rural Contexts (17 papers), Education and Teacher Training (7 papers), Education Pedagogy and Practices (4 papers), Holomorphic and Operator Theory (4 papers), Educational Technology in Learning (4 papers), Educational Practices and Policies (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Hepatology (56 citations), Applied Mathematics (45 citations), Algebra and Number Theory (14 citations), Education (73 citations) and Mathematical Physics (22 citations). Daniel Suárez has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Marc G. Ghany, Ahmad S. Alawad, Sungyoung Auh, Brett D. Wick, Gerald R. Dreslinski, Edward D. Fröhlich, Franz H. Messerli, Héctor O. Ventura, Rogelio A. Machado and Eduardo Flores. Their work appears in journals such as Integral Equations and Operator Theory, Hepatology, International Journal of Cardiology, The Michigan Mathematical Journal and The Journal of Organic Chemistry.

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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