Anna A. Matejko

671 citations
21 papers · 417 · h-index 12

Impact in

Papers in

Anna A. Matejko

20 papers receiving 410 citations

Peers

Anna A. Matejko
Comparison fields: 5 of 68
  • Statistics and Probability 231
  • Developmental and Educational Psychology 158
  • Cognitive Neuroscience 149
  • Education 106
  • Theoretical Computer Science 3
Replace Haiying Meng with:
Haiying Meng United States
Natalie Cope United Kingdom
Marie Bruandet France
Bent Müller Germany
Jeremiah Ring United States
Yixun Li China
Laura A. Barquero United States
Elena Salillas Italy
Johannes Bloechle Germany
Alyssa J. Kersey United States
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Citations per field
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Haiying Meng · 1×
Citations per year

Countries citing papers authored by Anna A. Matejko

Since Specialization
Citations

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

Fields of papers citing papers by Anna A. Matejko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 200771
3 201649
4 201247
5 201819
6 201418
7 201917
8 202116
9 202016
10 202215
11 201714
12 202014
13 201611
14 20239
15 20218
16 20187
17 20227
18 20215
19 20241
20 20141

About Anna A. Matejko

Anna A. Matejko is a scholar working on Statistics and Probability, Cognitive Neuroscience, Developmental and Educational Psychology, Education and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 417 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (18 papers), Reading and Literacy Development (10 papers), Neuroscience, Education and Cognitive Function (8 papers), Mathematics Education and Teaching Techniques (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Education Methods and Practices (2 papers), Functional Brain Connectivity Studies (2 papers) and Spatial Cognition and Navigation (1 paper). The work is most often cited by research in Statistics and Probability (231 citations), Developmental and Educational Psychology (158 citations), Cognitive Neuroscience (149 citations), Education (106 citations) and Theoretical Computer Science (3 citations). Anna A. Matejko has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Daniel Ansari, Michèle M. M. Mazzocco, Gavin R. Price, Daniel Ansari, Xiaolin Zhang, Xiaolian Gao, Qi Zhu, Onnop Srivannavit, Guinevere F. Eden and Xiaochuan Zhou. Their work appears in journals such as Developmental Cognitive Neuroscience, Developmental Science, Human Brain Mapping, Journal of Neuroscience and Mind Brain and Education.

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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