J. Subramani

35 papers and 188 indexed citations i.

About

J. Subramani is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, J. Subramani has authored 35 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in J. Subramani’s work include Survey Sampling and Estimation Techniques (19 papers), Optimal Experimental Design Methods (8 papers) and Advanced Statistical Methods and Models (7 papers). J. Subramani is often cited by papers focused on Survey Sampling and Estimation Techniques (19 papers), Optimal Experimental Design Methods (8 papers) and Advanced Statistical Methods and Models (7 papers). J. Subramani collaborates with scholars based in India and United States. J. Subramani's co-authors include S. Balamurali, Sat Gupta and Sarjinder Singh and has published in prestigious journals such as Biometrical Journal, Journal of Applied Statistics and Communication in Statistics- Theory and Methods.

In The Last Decade

Co-authorship network of co-authors of J. Subramani i

Fields of papers citing papers by J. Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J. Subramani

Since Specialization
Citations

This map shows the geographic impact of J. Subramani'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 J. Subramani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Subramani 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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2025