Vukshitha Dhanaraj

592 citations
10 papers · 416 · h-index 8

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • EEG and Brain-Computer Interfaces
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications

Papers in

Vukshitha Dhanaraj

9 papers receiving 416 citations

Peers

Vukshitha Dhanaraj
Comparison fields: 5 of 63
  • Cognitive Neuroscience 231
  • Radiology, Nuclear Medicine and Imaging 87
  • Psychiatry and Mental health 55
  • Neurology 25
  • Experimental and Cognitive Psychology 29
Replace Jorge Hormovas with:
Jorge Hormovas Australia
Vincenzo Alfano Italy
Qiongmin Ma China
Muliang Jiang China
Yifei Weng China
Caroline Malherbe Germany
Lingheng Song China
Eileen Luders Germany
Francesca Lecce Italy
Vukshitha Dhanaraj relative to Jorge Hormovas Australia Jorge Hormovas's profile →
Citations per field
00.5×1.5×
Jorge Hormovas · 1×
Citations per year

Countries citing papers authored by Vukshitha Dhanaraj

Since Specialization
Citations

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

Fields of papers citing papers by Vukshitha Dhanaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Vukshitha Dhanaraj, 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 Vukshitha Dhanaraj Line = papers co-authored together Vukshitha Dhanaraj links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2020118
2 202178
3 202175
4 202140
5 202137
6 202124
7 202022
8 202021
9 20251
10 20230

About Vukshitha Dhanaraj

Vukshitha Dhanaraj is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 10 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (231 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Psychiatry and Mental health (55 citations), Neurology (25 citations) and Experimental and Cognitive Psychology (29 citations). Vukshitha Dhanaraj has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Isabella M. Young, Rannulu Dineth Fonseka, Yueh‐Hsin Lin, Onur Tanglay, Jorge Hormovas, Robert Grady Briggs, Arpan R. Chakraborty, Michael Edward Sughrue, Andrew K. Conner and Michael Y. Bai. Their work appears in journals such as World Neurosurgery, Brain and Behavior, Brain Imaging and Behavior, Operative Neurosurgery and Journal of Personalized Medicine.

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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