Jennifer Newman

80 papers and 1.1k indexed citations i.

About

Jennifer Newman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jennifer Newman has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jennifer Newman’s work include Medical Image Segmentation Techniques (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Jennifer Newman is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Jennifer Newman collaborates with scholars based in United States, United Kingdom and Germany. Jennifer Newman's co-authors include Gerhard X. Ritter, Joseph N. Wilson, Noel Cressie, Patrick M. Beardsley, Nancy K. Mello, A. A. Fouad, Qin Zhou, Marilyn E. Carroll, Charles D. Cook and Clifford Bergman and has published in prestigious journals such as Developmental Cell, Journal of Medicinal Chemistry and IEEE Transactions on Power Systems.

In The Last Decade

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

Fields of papers citing papers by Jennifer Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Newman

Since Specialization
Citations

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