Shakthi Poornima

5 papers and 246 indexed citations i.

About

Shakthi Poornima is a scholar working on Artificial Intelligence, General Health Professions and Research and Theory. According to data from OpenAlex, Shakthi Poornima has authored 5 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in General Health Professions and 2 papers in Research and Theory. Recurrent topics in Shakthi Poornima’s work include Healthcare professionals’ stress and burnout (2 papers), Nursing education and management (2 papers) and Natural Language Processing Techniques (2 papers). Shakthi Poornima is often cited by papers focused on Healthcare professionals’ stress and burnout (2 papers), Nursing education and management (2 papers) and Natural Language Processing Techniques (2 papers). Shakthi Poornima collaborates with scholars based in United States and India. Shakthi Poornima's co-authors include Susan Fairchild, Carol S. Brewer, Hongsoo Kim, Maja Djukic, Christine Kovner, Christopher W. Forstall, Neil Coffee and Jean-Pierre Koenig and has published in prestigious journals such as AJN American Journal of Nursing, Journal of Professional Nursing and Transactions of the American Philological Association (1974-).

In The Last Decade

Co-authorship network of co-authors of Shakthi Poornima i

Fields of papers citing papers by Shakthi Poornima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shakthi Poornima

Since Specialization
Citations

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

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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