K. A. Smitha
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Hemispheric Asymmetry in Neuroscience
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Functional Brain Connectivity Studies 5
- Hemispheric Asymmetry in Neuroscience 1
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- Optical Imaging and Spectroscopy Techniques 1
- Radiomics and Machine Learning in Medical Imaging 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Chandrasekharan Kesavadas (6 shared papers)P.G. Rajesh (5 shared papers)Bejoy Thomas (4 shared papers)TR Kapilamoorthy (1 shared paper)Ramapurath S. Jayasree (2 shared papers)Amod Gupta (2 shared papers)Padmavathy Narayanan Sylaja (1 shared paper)Ashalatha Radhakrishnan (1 shared paper)
- Journals
- British Journal of Radiology (1 paper)Magnetic Resonance Imaging (1 paper)American Journal of Neuroradiology (1 paper)Neuroradiology (1 paper)Brain Topography (1 paper)
- Partner nations
- India
In The Last Decade
K. A. Smitha
8 papers receiving 693 citations
K. A. Smitha's Hit Papers
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 453
- Neurology 40
- Rehabilitation 31
- Psychiatry and Mental health 79
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by K. A. Smitha
This map shows the geographic impact of K. A. Smitha'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 K. A. Smitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. A. Smitha more than expected).
Fields of papers citing papers by K. A. Smitha
This network shows the impact of papers produced by K. A. Smitha. 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 K. A. Smitha. The network helps show where K. A. Smitha may publish in the future.
Co-authors
The 11 scholars most cited alongside K. A. Smitha, 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 | Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks Hit paper breakdown → | 2017 | 506 |
| 2 | 2020 | 66 | |
| 3 | 2015 | 36 | |
| 4 | 2017 | 31 | |
| 5 | 2015 | 19 | |
| 6 | 2017 | 19 | |
| 7 | 2019 | 11 | |
| 8 | 2018 | 10 |
About K. A. Smitha
K. A. Smitha is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Genetics and Nuclear Energy and Engineering, having authored 8 papers that have together received 698 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Glioma Diagnosis and Treatment (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced MRI Techniques and Applications (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Cognitive Neuroscience (453 citations), Neurology (40 citations), Rehabilitation (31 citations), Psychiatry and Mental health (79 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). K. A. Smitha has collaborated with scholars based in India. Frequent co-authors include Chandrasekharan Kesavadas, P.G. Rajesh, Bejoy Thomas, TR Kapilamoorthy, Ramapurath S. Jayasree, Amod Gupta, Padmavathy Narayanan Sylaja, Ashalatha Radhakrishnan, Prabhakaran Sankara Sarma and Suresh E. Joel. Their work appears in journals such as British Journal of Radiology, Magnetic Resonance Imaging, American Journal of Neuroradiology, Neuroradiology and Brain Topography.
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.