S. J. Parvathi

934 total citations
3 papers, 17 citations indexed

About

S. J. Parvathi is a scholar working on Social Psychology, Neurology and General Health Professions. According to data from OpenAlex, S. J. Parvathi has authored 3 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Social Psychology, 1 paper in Neurology and 1 paper in General Health Professions. Recurrent topics in S. J. Parvathi's work include Agriculture and Farm Safety (1 paper), Advanced MRI Techniques and Applications (1 paper) and Conducting polymers and applications (1 paper). S. J. Parvathi is often cited by papers focused on Agriculture and Farm Safety (1 paper), Advanced MRI Techniques and Applications (1 paper) and Conducting polymers and applications (1 paper). S. J. Parvathi collaborates with scholars based in Australia, India and United States. S. J. Parvathi's co-authors include Padam Singh, Veer Singh Mehta, Pravat K. Mandal, Shallu Sharma, Joseph C. Maroon and Deepika Shukla and has published in prestigious journals such as ACS Chemical Neuroscience, Asian Journal of Scientific Research and Madras Agricultural Journal.

In The Last Decade

S. J. Parvathi

3 papers receiving 16 citations

Peers

S. J. Parvathi
Kadi Veri Estonia
Anni Moore United States
V. Tudorica Romania
Ashling Giblin United Kingdom
Dinara Sadykova United States
Yizhe Song United States
Carlos Alberto Buchpigel Netherlands
Alexander T. Lyons United States
Makiko Naito Japan
Lynn Wheeler United States
Kadi Veri Estonia
S. J. Parvathi
Citations per year, relative to S. J. Parvathi S. J. Parvathi (= 1×) peers Kadi Veri

Countries citing papers authored by S. J. Parvathi

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Parvathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Parvathi. 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 S. J. Parvathi. The network helps show where S. J. Parvathi may publish in the future.

Co-authorship network of co-authors of S. J. Parvathi

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Parvathi. A scholar is included among the top collaborators of S. J. Parvathi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. J. Parvathi. S. J. Parvathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Shukla, Deepika, Pravat K. Mandal, Veer Singh Mehta, et al.. (2023). Glutathione Depletion and Concomitant Elevation of Susceptibility in Patients with Parkinson’s Disease: State-of-the-Art MR Spectroscopy and Neuropsychological Study. ACS Chemical Neuroscience. 14(24). 4383–4394. 15 indexed citations
2.
Parvathi, S. J., et al.. (2014). Interventions to Combat Obesity among School Children at Madurai, Tamilnadu. Asian Journal of Scientific Research. 7(2). 176–187. 1 indexed citations
3.
Parvathi, S. J., et al.. (2002). Ergonomics of rural women for selected dry farming operations. Madras Agricultural Journal. 89(september). 410–413. 1 indexed citations

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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