Kiran Thapaliya
- Psychiatry and Mental health top 10%
- Fibromyalgia and Chronic Fatigue Syndrome Research 16
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies 7
- Neurology top 10%
- Long-Term Effects of COVID-19 9
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- Long-Term Effects of COVID-19 9
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- Medical Image Segmentation Techniques 6
- Image and Object Detection Techniques 3
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- Advanced MRI Techniques and Applications 4
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- Genetic Neurodegenerative Diseases 4
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- Advanced NMR Techniques and Applications 3
- Co-authors
- Sonya Marshall‐GradisnikLeighton BarndenGoo‐Rak KwonNatalie Eaton-FitchDonald StainesMarkus BarthRebekah MaksoudChun‐Su Park
- Partner nations
- AustraliaSouth KoreaFrance
In The Last Decade
Kiran Thapaliya
27 papers receiving 288 citations
Peers
Comparison fields: 5 of 69
- Psychiatry and Mental health 165
- Sensory Systems 37
- Neurology 106
- Neurology 55
- Computer Vision and Pattern Recognition 52
Countries citing papers authored by Kiran Thapaliya
This map shows the geographic impact of Kiran Thapaliya'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 Kiran Thapaliya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Thapaliya more than expected).
Fields of papers citing papers by Kiran Thapaliya
This network shows the impact of papers produced by Kiran Thapaliya. 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 Kiran Thapaliya. The network helps show where Kiran Thapaliya may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Kiran Thapaliya, 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 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 25 | |
| 17 | 2020 | 40 | |
| 18 | 2019 | 9 | |
| 19 | 2013 | 35 | |
| 20 | Extraction of brain tumor based on morphological operations | 2012 | 20 |
About Kiran Thapaliya
Kiran Thapaliya is a scholar working on Sensory Systems, Psychiatry and Mental health and Neurology, having authored 29 papers that have together received 302 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (16 papers), Long-Term Effects of COVID-19 (9 papers), Olfactory and Sensory Function Studies (7 papers), Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (4 papers), Genetic Neurodegenerative Diseases (4 papers), Image and Object Detection Techniques (3 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Psychiatry and Mental health (165 citations), Sensory Systems (37 citations) and Neurology (106 citations). Kiran Thapaliya has collaborated with scholars based in Australia, South Korea and France. Frequent co-authors include Sonya Marshall‐Gradisnik, Leighton Barnden, Goo‐Rak Kwon, Natalie Eaton-Fitch, Donald Staines, Markus Barth, Rebekah Maksoud, Chun‐Su Park, Jae-Young Pyun and Steffen Bollmann. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.