Amy Kuceyeski

4.2k citations
86 papers · 2.3k indexed · 1 hit paper · h-index 25
Topics
Functional Brain Connectivity Studies (44 papers)Advanced Neuroimaging Techniques and Applications (39 papers)Multiple Sclerosis Research Studies (18 papers)
Journals
Nature CommunicationsNeuronSHILAP Revista de lepidopterología

In The Last Decade

Amy Kuceyeski

82 papers receiving 2.2k citations

Hit Papers

A Network Diffusion Model of Disease Progression in Dementia20122026201620212012100200300400

Peers

Amy Kuceyeski
Comparison fields: 5 of 113
  • Cognitive Neuroscience 1.3k
  • Radiology, Nuclear Medicine and Imaging 880
  • Physiology 345
  • Pathology and Forensic Medicine 284
  • Molecular Biology 276
Replace Ashish Raj with:
Ashish Raj United States
Peipeng Liang China
Vincent Perlbarg France
Stefan Förster Germany
Alessandro Daducci Italy
Dominique Sappey‐Marinier France
Natalie M. Zahr United States
Micheal D. Phillips United States
Jonathan D. Clayden United Kingdom
Jonas Richiardi Switzerland
Amy Kuceyeski relative to Ashish Raj United States Ashish Raj's profile →
Citations per field
00.5×1.7×
Ashish Raj · 1×
Citations per year

Countries citing papers authored by Amy Kuceyeski

Since Specialization
Citations

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

Fields of papers citing papers by Amy Kuceyeski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Kuceyeski

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Kuceyeski. A scholar is included among the top collaborators of Amy Kuceyeski 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 Amy Kuceyeski. Amy Kuceyeski 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 0
2 0
3 0
4 2
5 21
6 1
7 9
8 3
9 8
10 2
11 9
12 18
13 25
14 8
15 50
16 19
17 78
18 7
19 18
20 37

About Amy Kuceyeski

Amy Kuceyeski is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (44 papers), Advanced Neuroimaging Techniques and Applications (39 papers) and Multiple Sclerosis Research Studies (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Radiology, Nuclear Medicine and Imaging (880 citations) and Neurology (206 citations). Amy Kuceyeski has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ashish Raj, Michael W. Weiner, Keith Jamison, Mert R. Sabuncu, Norman Relkin, Eve LoCastro, Susan A. Gauthier, Meenakshi Khosla, Jun Maruta and Abhishek Jaywant. Their work appears in journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

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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