Michèle T. Diaz

3.4k citations
70 papers · 1.8k indexed · h-index 24
Topics
Neurobiology of Language and Bilingualism (42 papers)Reading and Literacy Development (25 papers)Functional Brain Connectivity Studies (21 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageScientific Reports
Partner nations
United StatesIsraelMacao

In The Last Decade

Michèle T. Diaz

70 papers receiving 1.8k citations

Peers

Michèle T. Diaz
Comparison fields: 5 of 104
  • Cognitive Neuroscience 1.4k
  • Developmental and Educational Psychology 424
  • Experimental and Cognitive Psychology 395
  • Radiology, Nuclear Medicine and Imaging 348
  • Psychiatry and Mental health 238
Replace Peter J. Molfese with:
Peter J. Molfese United States
W. Caroline West United States
Maria Mody United States
Ryuichiro Hashimoto Japan
Noelia Ventura‐Campos Spain
Bertram Opitz Germany
Elizabeth F. Chua United States
Peachie Moore United States
Marinella Cappelletti United Kingdom
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Michèle T. Diaz relative to Peter J. Molfese United States Peter J. Molfese's profile →
Citations per field
00.5×1.5×2.0×
Peter J. Molfese · 1×
Citations per year

Countries citing papers authored by Michèle T. Diaz

Since Specialization
Citations

This map shows the geographic impact of Michèle T. Diaz'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 Michèle T. Diaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michèle T. Diaz more than expected).

Fields of papers citing papers by Michèle T. Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michèle T. Diaz. 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 Michèle T. Diaz. The network helps show where Michèle T. Diaz may publish in the future.

Co-authorship network of co-authors of Michèle T. Diaz

This figure shows the co-authorship network connecting the top 25 collaborators of Michèle T. Diaz. A scholar is included among the top collaborators of Michèle T. Diaz 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 Michèle T. Diaz. Michèle T. Diaz 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 2
2 2
3 3
4 23
5 4
6 1
7 5
8 52
9 9
10 11
11 15
12 7
13 21
14 29
15 15
16 17
17 31
18 32
19 260
20 58

About Michèle T. Diaz

Michèle T. Diaz is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (42 papers), Reading and Literacy Development (25 papers) and Functional Brain Connectivity Studies (21 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Developmental and Educational Psychology (424 citations) and Experimental and Cognitive Psychology (395 citations). Michèle T. Diaz has collaborated with scholars based in United States, Israel and Macao. Frequent co-authors include Gregory McCarthy, Judith F. Kroll, Ana Schwartz, Larson Hogstrom, Avery A. Rizio, Haoyun Zhang, David J. Madden, Tamara Y. Swaab, Jessica A. Turner and Eleonora Rossi. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

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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