Medha Naik

2 papers and 54 indexed citations i.

About

Medha Naik is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Medha Naik has authored 2 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Medha Naik’s work include Prenatal Screening and Diagnostics (1 paper), Birth, Development, and Health (1 paper) and Context-Aware Activity Recognition Systems (1 paper). Medha Naik is often cited by papers focused on Prenatal Screening and Diagnostics (1 paper), Birth, Development, and Health (1 paper) and Context-Aware Activity Recognition Systems (1 paper). Medha Naik collaborates with scholars based in United States and Israel. Medha Naik's co-authors include Russell L. Deter, Lami Yeo, Uma Ramamurthy, Roberto Romero and Wesley Lee and has published in prestigious journals such as American Journal of Obstetrics and Gynecology and 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI).

In The Last Decade

Co-authorship network of co-authors of Medha Naik i

Fields of papers citing papers by Medha Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Medha Naik

Since Specialization
Citations

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