Ravi Kulkarni

About

Ravi Kulkarni is a scholar working on Clinical Psychology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ravi Kulkarni has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ravi Kulkarni’s work include Mindfulness and Compassion Interventions (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Digital Media Forensic Detection (2 papers). Ravi Kulkarni is often cited by papers focused on Mindfulness and Compassion Interventions (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Digital Media Forensic Detection (2 papers). Ravi Kulkarni collaborates with scholars based in India, United States and Italy. Ravi Kulkarni's co-authors include Raghuram Nagarathna, V. I. Man’ko, G. Marmo, Paolo Facchi, F. Ventriglia, E. C. G. Sudarshan, Dhanya Pramod, Preeti Mulay, Hongasandra Ramarao Nagendra and HR Nagendra and has published in prestigious journals such as Physics Letters A, Maturitas and Frontiers in Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Ravi Kulkarni i

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Fields of papers citing papers by Ravi Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ravi Kulkarni

Since Specialization

Citations

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