Anna Fedor

22 papers receiving 357 citations

Peers

Anna Fedor
Comparison fields: 5 of 67
  • Statistics, Probability and Uncertainty 86
  • General Psychology 18
  • Experimental and Cognitive Psychology 112
  • Information Systems and Management 53
  • General Decision Sciences 16
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Wojciech Świątkowski Switzerland
Thomas Andrew Lindsay United States
Pratibha Kujur India
Margaret Messiah Singh India
Arti Parganiha India
Jason D. Ferrell United States
Priyanka Chandel India
Martha Lucia Borras-Guevara United Kingdom
Brandon T. Humphrey United States
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Citations per field
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Wojciech Świątkowski · 1×
Citations per year

Countries citing papers authored by Anna Fedor

Since Specialization
Citations

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

Fields of papers citing papers by Anna Fedor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Anna Fedor, 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 Anna Fedor Line = papers co-authored together Anna Fedor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 202070
3 201534
4 200923
5 200822
6 201218
7 201717
8 201613
9 201911
10 201110
11 201510
12 201710
13 20177
14 20246
15 20164
16 20264
17
Simulating behavioural interventions for developmental deficits: When improving strengths produces better outcomes than remediating weaknesses.
20172
18 20202
19 20091
20
Towards identifying principles for clinical intervention in developmental language disorders: Establishing a neurocomputational foundation.
20131

About Anna Fedor

Anna Fedor is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Developmental and Educational Psychology, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 24 papers that have together received 385 indexed citations. Recurring topics across this work include Language Development and Disorders (5 papers), Creativity in Education and Neuroscience (4 papers), Neural Networks and Applications (4 papers), Psychology Research and Bibliometrics (4 papers), Psychiatry, Mental Health, Neuroscience (3 papers), Meta-analysis and systematic reviews (3 papers), Neural dynamics and brain function (3 papers) and Neurobiology of Language and Bilingualism (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (86 citations), General Psychology (18 citations), Experimental and Cognitive Psychology (112 citations), Information Systems and Management (53 citations) and General Decision Sciences (16 citations). Anna Fedor has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include Eörs Szathmáry, Vera Vasas, István Zachar, Máté Varga, Harold P. de Vladar, András Szilágyi, Jackie Masterson, Wendy Best, Michael Thomas and Svenja Brodt. Their work appears in journals such as Frontiers in Psychology, F1000Research, Journal of Theoretical Biology, Cognitive Science and Advances in Methods and Practices in Psychological Science.

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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