Sara Newman

6 papers and 40 indexed citations i.

About

Sara Newman is a scholar working on Aerospace Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sara Newman has authored 6 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Aerospace Engineering, 2 papers in Materials Chemistry and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sara Newman’s work include Face recognition and analysis (2 papers), Nuclear Materials and Properties (2 papers) and Nuclear reactor physics and engineering (2 papers). Sara Newman is often cited by papers focused on Face recognition and analysis (2 papers), Nuclear Materials and Properties (2 papers) and Nuclear reactor physics and engineering (2 papers). Sara Newman collaborates with scholars based in United States. Sara Newman's co-authors include Simone Silvestri, Ruoxi Zhang, Marco Ortolani, Stephen S. Parker, Jianping Fan, Joshua T. White, Dan Lin, Kannappan Palaniappan, Seema Shah and Pilar N. Ossorio and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, JOM and Developmental Cognitive Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Sara Newman i

Fields of papers citing papers by Sara Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Newman

Since Specialization
Citations

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