Anna Fedor

614 citations
13 papers · 159 · h-index 9

Impact in

Papers in

Anna Fedor

13 papers receiving 145 citations

Peers

Anna Fedor
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 39
  • General Decision Sciences 5
  • Cognitive Neuroscience 50
  • Experimental and Cognitive Psychology 33
  • Developmental Biology 4
Replace Elias Garcia‐Pelegrin with:
Elias Garcia‐Pelegrin United Kingdom
Jaromil Frossard Switzerland
Friederike Behrens Netherlands
Benjamin Farrar United Kingdom
Christopher J. Whyte Australia
Gregory M. Sulkowski United States
Sébastien Ballesta France
David Colaço Germany
M. van der Velde Netherlands
Hakan Çetınkaya Türkiye
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Citations per field
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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 14 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

13 of 13 papers shown
#Work
1 201531
2 201524
3 200822
4 200920
5 201714
6 201110
7 20179
8 20159
9 20169
10 20197
11
Simulating behavioural interventions for developmental deficits: When improving strengths produces better outcomes than remediating weaknesses.
20172
12
Towards identifying principles for clinical intervention in developmental language disorders: Establishing a neurocomputational foundation.
20131
13 20161

About Anna Fedor

Anna Fedor is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Molecular Biology, Astronomy and Astrophysics and Clinical Psychology, having authored 13 papers that have together received 159 indexed citations. Recurring topics across this work include Language Development and Disorders (3 papers), Reading and Literacy Development (2 papers), Origins and Evolution of Life (2 papers), Gene Regulatory Network Analysis (2 papers), Creativity in Education and Neuroscience (2 papers), Evolutionary Algorithms and Applications (2 papers), Cognitive Science and Mapping (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in Developmental and Educational Psychology (39 citations), General Decision Sciences (5 citations), Cognitive Neuroscience (50 citations), Experimental and Cognitive Psychology (33 citations) and Developmental Biology (4 citations). Anna Fedor has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Eörs Szathmáry, Michael Öllinger, Vera Vasas, John Gunstad, István Zachar, Michael S. C. Thomas, András Szilágyi, Jackie Masterson, Wendy Best and Harold P. de Vladar. Their work appears in journals such as Cognitive Science, Frontiers in Psychology, Archives of Clinical Neuropsychology, International Journal of Speech-Language Pathology and Journal of Theoretical Biology.

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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