Ágnes Albert

15 papers receiving 245 citations

Ágnes Albert's Hit Papers

Advanced learners’ foreign language-related emotions across the four skills 2018 · 130 citations
1300+2+5Years since publication4080120

Peers

Ágnes Albert
Comparison fields: 5 of 31
  • Language and Linguistics 125
  • Experimental and Cognitive Psychology 94
  • Developmental and Educational Psychology 78
  • Literature and Literary Theory 53
  • Social Psychology 90
Replace Katalin Piniel with:
Katalin Piniel Hungary
Banban Li China
Mariko Abe Japan
Jakub Bielak Poland
Pia Resnik Austria
Julia Goetze United States
Tan Bee Tin New Zealand
Almudena Fernández Fontecha Spain
Ekaterina Sudina United States
Mahmood Hashemian Iran
Ágnes Albert relative to Katalin Piniel Hungary Katalin Piniel's profile →
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Countries citing papers authored by Ágnes Albert

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Ágnes Albert, 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 Ágnes Albert Line = papers co-authored together Ágnes Albert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advanced learners’ foreign language-related emotions across the four skills
Hit paper breakdown →
2018130
2 200473
3 201122
4 20179
5 20248
6 20246
7 20255
8 20223
9 20242
10 20232
11 20242
12 20222
13 20222
14 20241
15 20241
16 20250
17 20240
18 20250
19 20240
20 20210

About Ágnes Albert

Ágnes Albert is a scholar working on Language and Linguistics, Literature and Literary Theory, Experimental and Cognitive Psychology, Social Psychology and Education, having authored 22 papers that have together received 268 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (10 papers), Second Language Learning and Teaching (7 papers), Creativity in Education and Neuroscience (4 papers), Language, Metaphor, and Cognition (3 papers), Grit, Self-Efficacy, and Motivation (2 papers), Emotional Intelligence and Performance (2 papers), Teacher Professional Development and Motivation (2 papers) and Hungarian Social, Economic and Educational Studies (2 papers). The work is most often cited by research in Language and Linguistics (125 citations), Experimental and Cognitive Psychology (94 citations), Developmental and Educational Psychology (78 citations), Literature and Literary Theory (53 citations) and Social Psychology (90 citations). Ágnes Albert has collaborated with scholars based in Hungary, China and Poland. Frequent co-authors include Katalin Piniel, Judit Kormos, Kata Csizér, Mahmoud Abdi Tabari, Mariusz Kruk, Mirosław Pawlak and Xinya Liang. Their work appears in journals such as Studies in Second Language Learning and Teaching, Language Learning, Language Teaching Research, The Asia-Pacific Education Researcher and Languages.

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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