Aida Nematzadeh

24 papers receiving 250 citations

Peers

Aida Nematzadeh
Comparison fields: 5 of 54
  • Artificial Intelligence 188
  • Computer Vision and Pattern Recognition 121
  • Developmental and Educational Psychology 31
  • Cognitive Neuroscience 17
  • Cultural Studies 17
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Countries citing papers authored by Aida Nematzadeh

Since Specialization
Citations

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

Fields of papers citing papers by Aida Nematzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aida Nematzadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Aida Nematzadeh. A scholar is included among the top collaborators of Aida Nematzadeh 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 Aida Nematzadeh. Aida Nematzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 8
4 5
5 1
6 16
7 3
8 47
9
Tracing the Emergence of Gendered Language in Childhood.
1
10 39
11
How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
10
12
Calculating Probabilities Simplifies Word Learning
1
13
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words.
28
14
Simple Search Algorithms on Semantic Networks Learned from Language Use
1
15
Structural Differences in the Semantic Networks of Simulated Word Learners.
6
16 6
17
Word Learning in the Wild: What Natural Data Can Tell Us
3
18
A Computational Model of Memory, Attention, and Word Learning
4
19
Interaction of Word Learning and Semantic Category Formation in Late Talking
4
20
A Computational Study of Late Talking in Word-Meaning Acquisition
5

About Aida Nematzadeh

Aida Nematzadeh is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cultural Studies, having authored 25 papers that have together received 270 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (9 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (188 citations) and Health Informatics (4 citations). Aida Nematzadeh has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Lisa Anne Hendricks, Thomas L. Griffiths, Erin Grant, Rosalia Schneider, John Mellor, Jean-Baptiste Alayrac, Suzanne Stevenson, Alison Gopnik, Stephan C. Meylan and Afsaneh Fazly. Their work appears in journals such as Cognitive Science, Journal of Vision and Transactions of the Association for Computational Linguistics.

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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