Hagar Gelbard-Sagiv

About

Hagar Gelbard-Sagiv is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hagar Gelbard-Sagiv has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hagar Gelbard-Sagiv’s work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Memory and Neural Mechanisms (4 papers). Hagar Gelbard-Sagiv is often cited by papers focused on Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Memory and Neural Mechanisms (4 papers). Hagar Gelbard-Sagiv collaborates with scholars based in Israel, United States and United Kingdom. Hagar Gelbard-Sagiv's co-authors include Itzhak Fried, Rafael Malach, Roy Mukamel, Yuval Nir, Michal Harel, Lior Fisch, Amos Arieli, Eran Privman, Miri Y. Neufeld and Uri Kramer and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Hagar Gelbard-Sagiv i

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Fields of papers citing papers by Hagar Gelbard-Sagiv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hagar Gelbard-Sagiv. 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 Hagar Gelbard-Sagiv. The network helps show where Hagar Gelbard-Sagiv may publish in the future.

Countries citing papers authored by Hagar Gelbard-Sagiv

Since Specialization

Citations

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