Rajesh Nandy

1.3k citations
53 papers · 850 · h-index 17

Impact in

Papers in

    • Functional Brain Connectivity Studies 20
    • Neural dynamics and brain function 9
    • EEG and Brain-Computer Interfaces 4
    • Autism Spectrum Disorder Research 3
    • Blind Source Separation Techniques 9

Rajesh Nandy

52 papers receiving 826 citations

Peers

Rajesh Nandy
Comparison fields: 5 of 119
  • Cognitive Neuroscience 361
  • Sensory Systems 41
  • Radiology, Nuclear Medicine and Imaging 146
  • Applied Psychology 29
  • Signal Processing 59
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Citations per field
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Citations per year

Countries citing papers authored by Rajesh Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rajesh Nandy, 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 Rajesh Nandy Line = papers co-authored together Rajesh Nandy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 202091
3 200649
4 200547
5 200344
6 201330
7 200328
8 200325
9 200425
10 202224
11 201222
12 200620
13 201820
14 202020
15 202216
16 202116
17 201916
18 201616
19 200915
20 202413

About Rajesh Nandy

Rajesh Nandy is a scholar working on Cognitive Neuroscience, Signal Processing, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Psychiatry and Mental health, having authored 53 papers that have together received 850 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Blind Source Separation Techniques (9 papers), Neural dynamics and brain function (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), EEG and Brain-Computer Interfaces (4 papers), Dementia and Cognitive Impairment Research (4 papers), Advanced MRI Techniques and Applications (4 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (361 citations), Sensory Systems (41 citations), Radiology, Nuclear Medicine and Imaging (146 citations), Applied Psychology (29 citations) and Signal Processing (59 citations). Rajesh Nandy has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Dietmar Cordes, Scott T. Walters, Larissa Stanberry, Tim Curran, Matthew E. Rossheim, Shanshan Wang, Mingwu Jin, Uyen‐Sa Nguyen, Ubydul Haque and Kamakshi V. Gopal. Their work appears in journals such as NeuroImage, Journal of the American Academy of Audiology, Magnetic Resonance in Medicine, Magnetic Resonance Imaging and Human Brain Mapping.

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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