Manasi Datar

10 papers and 181 indexed citations i.

About

Manasi Datar is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Manasi Datar has authored 10 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geometry and Topology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Manasi Datar’s work include Morphological variations and asymmetry (6 papers), Medical Image Segmentation Techniques (4 papers) and 3D Shape Modeling and Analysis (3 papers). Manasi Datar is often cited by papers focused on Morphological variations and asymmetry (6 papers), Medical Image Segmentation Techniques (4 papers) and 3D Shape Modeling and Analysis (3 papers). Manasi Datar collaborates with scholars based in United States and Germany. Manasi Datar's co-authors include Ross Whitaker, Elizabeth Jurrus, Andrew E. Anderson, Christopher L. Peters, Michael D. Harris, Joshua Cates, Martin Styner, Sylvain Gouttard, P. Thomas Fletcher and Guido Gerig and has published in prestigious journals such as Journal of Orthopaedic Research®, Lecture notes in computer science and Radiation Oncology.

In The Last Decade

Co-authorship network of co-authors of Manasi Datar i

Fields of papers citing papers by Manasi Datar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Manasi Datar

Since Specialization
Citations

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