Nagesh Adluru
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 38
- Autism Spectrum Disorder Research 11
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- Advanced Neuroimaging Techniques and Applications 77
- Advanced MRI Techniques and Applications 21
- Computational Mathematics top 5%
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research 10
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- Fetal and Pediatric Neurological Disorders 19
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- Robotics and Sensor-Based Localization 9
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- Medical Image Segmentation Techniques 6
- Co-authors
- Andrew L. AlexanderDo TrompRichard J. DavidsonJanet E. LainhartSterling C. JohnsonBrittany G. TraversBarbara B. BendlinMoo K. Chung
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)NeuroImage (5 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Nagesh Adluru
113 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 138
- Cognitive Neuroscience 1.3k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Computational Mathematics 22
- Psychiatry and Mental health 502
- Pediatrics, Perinatology and Child Health 522
Countries citing papers authored by Nagesh Adluru
This map shows the geographic impact of Nagesh Adluru'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 Nagesh Adluru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagesh Adluru more than expected).
Fields of papers citing papers by Nagesh Adluru
This network shows the impact of papers produced by Nagesh Adluru. 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 Nagesh Adluru. The network helps show where Nagesh Adluru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nagesh Adluru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 64 | |
| 13 | 2017 | 17 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2015 | 32 | |
| 17 | 2014 | 59 | |
| 18 | 2013 | 42 | |
| 19 | 2012 | 37 | |
| 20 | 2011 | 355 |
About Nagesh Adluru
Nagesh Adluru is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 118 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (77 papers), Functional Brain Connectivity Studies (38 papers), Advanced MRI Techniques and Applications (21 papers), Fetal and Pediatric Neurological Disorders (19 papers), Autism Spectrum Disorder Research (11 papers), Dementia and Cognitive Impairment Research (10 papers), Robotics and Sensor-Based Localization (9 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Computational Mathematics (22 citations). Nagesh Adluru has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Andrew L. Alexander, Do Tromp, Richard J. Davidson, Janet E. Lainhart, Sterling C. Johnson, Brittany G. Travers, Barbara B. Bendlin, Moo K. Chung, Erin D. Bigler and Nicholas Lange. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.