Anna Fedor

593 total citations
13 papers, 156 citations indexed

About

Anna Fedor is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Anna Fedor has authored 13 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Developmental and Educational Psychology and 3 papers in Cognitive Neuroscience. Recurrent topics in Anna Fedor's work include Language Development and Disorders (4 papers), Reading and Literacy Development (3 papers) and Evolutionary Algorithms and Applications (2 papers). Anna Fedor is often cited by papers focused on Language Development and Disorders (4 papers), Reading and Literacy Development (3 papers) and Evolutionary Algorithms and Applications (2 papers). Anna Fedor collaborates with scholars based in Hungary, Germany and United Kingdom. Anna Fedor's co-authors include Eörs Szathmáry, Michael Öllinger, Vera Vasas, John Gunstad, István Zachar, Michael S. C. Thomas, András Szilágyi, Harold P. de Vladar, Jackie Masterson and Wendy Best and has published in prestigious journals such as PLoS ONE, Psychological Review and Journal of Theoretical Biology.

In The Last Decade

Anna Fedor

13 papers receiving 142 citations

Peers

Anna Fedor
Angelo Pirrone United Kingdom
Limor Raviv Netherlands
David Colaço United States
Sara Waller United States
Anna Fedor
Citations per year, relative to Anna Fedor Anna Fedor (= 1×) peers Mario Pannunzi

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-authorship network of co-authors of Anna Fedor

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Fedor. A scholar is included among the top collaborators of Anna Fedor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Fedor. Anna Fedor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Thomas, Michael S. C., Anna Fedor, Rachael Davis, et al.. (2019). Computational modeling of interventions for developmental disorders.. Psychological Review. 126(5). 693–726. 7 indexed citations
2.
Fedor, Anna, et al.. (2017). Simulating behavioural interventions for developmental deficits: When improving strengths produces better outcomes than remediating weaknesses.. Cognitive Science. 2 indexed citations
3.
Fedor, Anna, István Zachar, András Szilágyi, et al.. (2017). Cognitive Architecture with Evolutionary Dynamics Solves Insight Problem. Frontiers in Psychology. 8. 427–427. 14 indexed citations
4.
Best, Wendy, et al.. (2017). Intervention for children with word-finding difficulties: a parallel group randomised control trial. International Journal of Speech-Language Pathology. 20(7). 708–719. 9 indexed citations
5.
Öllinger, Michael, Anna Fedor, Svenja Brodt, & Eörs Szathmáry. (2016). Insight into the ten-penny problem: guiding search by constraints and maximization. Psychological Research. 81(5). 925–938. 9 indexed citations
6.
Vladar, Harold P. de, Anna Fedor, András Szilágyi, István Zachar, & Eörs Szathmáry. (2016). An Attractor Network-Based Model with Darwinian Dynamics. 1049–1052. 1 indexed citations
7.
Best, Wendy, et al.. (2015). Intervening to alleviate word-finding difficulties in children: case series data and a computational modelling foundation. Cognitive Neuropsychology. 32(3-4). 133–168. 9 indexed citations
8.
Fedor, Anna, et al.. (2015). The Effects of a Brief, Water-Based Exercise Intervention on Cognitive Function in Older Adults. Archives of Clinical Neuropsychology. 30(2). 139–147. 22 indexed citations
9.
Fedor, Anna, Eörs Szathmáry, & Michael Öllinger. (2015). Problem solving stages in the five square problem. Frontiers in Psychology. 6. 1050–1050. 30 indexed citations
10.
Fedor, Anna, Wendy Best, Jackie Masterson, & Michael S. C. Thomas. (2013). Towards identifying principles for clinical intervention in developmental language disorders: Establishing a neurocomputational foundation.. Cognitive Science. 1 indexed citations
11.
Zachar, István, Anna Fedor, & Eörs Szathmáry. (2011). Two Different Template Replicators Coexisting in the Same Protocell: Stochastic Simulation of an Extended Chemoton Model. PLoS ONE. 6(7). e21380–e21380. 10 indexed citations
12.
Fedor, Anna & Vera Vasas. (2009). The robustness of keystone indices in food webs. Journal of Theoretical Biology. 260(3). 372–378. 20 indexed citations
13.
Fedor, Anna, et al.. (2008). Object permanence tests on gibbons (Hylobatidae).. Journal of comparative psychology. 122(4). 403–417. 22 indexed citations

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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