Anand Kulkarni

About

Anand Kulkarni is a scholar working on Computer Science Applications, Artificial Intelligence and Nutrition and Dietetics. According to data from OpenAlex, Anand Kulkarni has authored 13 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 4 papers in Artificial Intelligence and 3 papers in Nutrition and Dietetics. Recurrent topics in Anand Kulkarni’s work include Mobile Crowdsensing and Crowdsourcing (6 papers), Pomegranate: compositions and health benefits (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Anand Kulkarni is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (6 papers), Pomegranate: compositions and health benefits (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Anand Kulkarni collaborates with scholars based in United States, India and Australia. Anand Kulkarni's co-authors include S. M. Aradhya, S. Divakar, Björn Hartmann, Sudhir Kapoor, H. S. Mahal, R.S. Policegoudra, Tapan S. Parikh, Bjoern Hartmann, Ian Ward and Dezhen Song and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and IEEE Internet Computing.

In The Last Decade

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

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Fields of papers citing papers by Anand Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anand Kulkarni

Since Specialization

Citations

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