Katherine S. Aboud
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Psychiatry and Mental health
- Co-authors
- Laurie E. CuttingStephen BaileyYuankai HuoBennett A. LandmanSusan M. ResnickCamilo BermudezShunxing BaoPrasanna Parvathaneni
- Topics
- Reading and Literacy Development (5 papers)Functional Brain Connectivity Studies (5 papers)Neurobiology of Language and Bilingualism (4 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- United States
In The Last Decade
Katherine S. Aboud
11 papers receiving 397 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 170
- Radiology, Nuclear Medicine and Imaging 147
- Developmental and Educational Psychology 109
- Computer Vision and Pattern Recognition 81
- Psychiatry and Mental health 50
Countries citing papers authored by Katherine S. Aboud
This map shows the geographic impact of Katherine S. Aboud'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 Katherine S. Aboud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine S. Aboud more than expected).
Fields of papers citing papers by Katherine S. Aboud
This network shows the impact of papers produced by Katherine S. Aboud. 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 Katherine S. Aboud. The network helps show where Katherine S. Aboud may publish in the future.
Co-authorship network of co-authors of Katherine S. Aboud
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine S. Aboud. A scholar is included among the top collaborators of Katherine S. Aboud 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 Katherine S. Aboud. Katherine S. Aboud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 26 | |
| 4 | 185 | |
| 5 | 10 | |
| 6 | 28 | |
| 7 | 58 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 15 | |
| 11 | 42 |
About Katherine S. Aboud
Katherine S. Aboud is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Reading and Literacy Development (5 papers), Functional Brain Connectivity Studies (5 papers) and Neurobiology of Language and Bilingualism (4 papers). The work is most often cited by research in Cognitive Neuroscience (170 citations), Developmental and Educational Psychology (109 citations) and Radiology, Nuclear Medicine and Imaging (147 citations). Katherine S. Aboud has collaborated with scholars based in United States. Frequent co-authors include Laurie E. Cutting, Stephen Bailey, Yuankai Huo, Bennett A. Landman, Susan M. Resnick, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, Zhoubing Xu and Laura A. Barquero. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Cerebral Cortex.
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.