Gal Mishne

28 papers and 292 indexed citations i.

About

Gal Mishne is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gal Mishne has authored 28 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gal Mishne’s work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (5 papers) and Complex Network Analysis Techniques (4 papers). Gal Mishne is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (5 papers) and Complex Network Analysis Techniques (4 papers). Gal Mishne collaborates with scholars based in United States, Israel and Germany. Gal Mishne's co-authors include Israel Cohen, Ronen Talmon, Siyuan Gao, Dustin Scheinost, Rob Knight, Antonio González, George Armstrong, Gibraan Rahman, Cameron Martino and Ronald R. Coifman and has published in prestigious journals such as Neuron, Nature Neuroscience and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Gal Mishne i

Fields of papers citing papers by Gal Mishne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gal Mishne

Since Specialization
Citations

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