Éva D. Molnár

415 citations
26 papers · 341 · h-index 9

Impact in

Papers in

    • Early Childhood Education and Development 4
    • Higher Education Learning Practices 2
    • Catalytic Processes in Materials Science 5
    • Mesoporous Materials and Catalysis 4

Éva D. Molnár

23 papers receiving 306 citations

Peers

Éva D. Molnár
Comparison fields: 5 of 86
  • Catalysis 76
  • Developmental Neuroscience 23
  • Pollution 51
  • Emergency Medicine 23
  • Materials Chemistry 117
Replace Seunghyo Kim with:
Seunghyo Kim South Korea
Keran Wang China
Lingxin Li China
Heather Phillips United States
Elisa Rossi Italy
Fernando R. De-Oliveira Brazil
Lilian Kaede Komaba Japan
Vidya Rajesh India
Kerstin Lüdtke Germany
C GE China
Éva D. Molnár relative to Seunghyo Kim South Korea Seunghyo Kim's profile →
Citations per field
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Seunghyo Kim · 1×
Citations per year

Countries citing papers authored by Éva D. Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Éva D. Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éva D. Molnár. 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 Éva D. Molnár. The network helps show where Éva D. Molnár may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200694
2 200859
3 200157
4 200728
5 199614
6 200512
7 201610
8 20198
9 20148
10 20058
11 20197
12 20136
13 20174
14 20123
15 20173
16
Az önszabályozott tanulás pedagógiai jelentősége
20143
17 20203
18 20173
19
Tudatos fejlődés. Az önszabályozott tanulás elmélete és gyakorlata
20132
20 20152

About Éva D. Molnár

Éva D. Molnár is a scholar working on Education, Materials Chemistry, Experimental and Cognitive Psychology, Catalysis and Social Psychology, having authored 26 papers that have together received 341 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (5 papers), Early Childhood Education and Development (4 papers), Education, Achievement, and Giftedness (4 papers), Mesoporous Materials and Catalysis (4 papers), Industrial Gas Emission Control (3 papers), Motivation and Self-Concept in Sports (3 papers), Catalysis and Oxidation Reactions (3 papers) and Higher Education Learning Practices (2 papers). The work is most often cited by research in Catalysis (76 citations), Developmental Neuroscience (23 citations), Pollution (51 citations), Emergency Medicine (23 citations) and Materials Chemistry (117 citations). Éva D. Molnár has collaborated with scholars based in Hungary, South Africa and Switzerland. Frequent co-authors include Imre Kiricsi, Zoltán Kónya, Matthias Urban, L. Guczi, O. Geszti, G. Stefler, Zs. Koppány, Alfredo C. Alder, Christa S. McArdell and Gyula Tasi. Their work appears in journals such as Catalysis Letters, Journal of Catalysis, American Journal of Physiology-Heart and Circulatory Physiology, Chemical Engineering Communications and Current Applied Physics.

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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