Subramani Mani

31 papers and 1.3k indexed citations i.

About

Subramani Mani is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Subramani Mani has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Subramani Mani’s work include Bayesian Modeling and Causal Inference (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Machine Learning in Healthcare (5 papers). Subramani Mani is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Machine Learning in Healthcare (5 papers). Subramani Mani collaborates with scholars based in United States, Greece and China. Subramani Mani's co-authors include Constantin Aliferis, Alexander Statnikov, Ioannis Tsamardinos, Xenofon Koutsoukos, Yukun Chen, Suzanne McDermott, Joshua C. Denny, Hua Xu, Gregory F. Cooper and S. Trent Rosenbloom and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Subramani Mani i

Fields of papers citing papers by Subramani Mani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Subramani Mani

Since Specialization
Citations

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