Sebastian Seung

7 papers and 610 indexed citations i.

About

Sebastian Seung is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Molecular Biology. According to data from OpenAlex, Sebastian Seung has authored 7 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 1 paper in Molecular Biology. Recurrent topics in Sebastian Seung’s work include Medical Image Segmentation Techniques (2 papers), Receptor Mechanisms and Signaling (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). Sebastian Seung is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Receptor Mechanisms and Signaling (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). Sebastian Seung collaborates with scholars based in United States, Germany and South Korea. Sebastian Seung's co-authors include Viren Jain, Srinivas C. Turaga, Winfried Denk, Kevin L. Briggman, Moritz Helmstaedter, Richard Schalek, Narayanan Kasthuri, Daniel R. Berger, Kenneth J. Hayworth and A. Wilson and has published in prestigious journals such as Microscopy and Microanalysis, arXiv (Cornell University) and Choice Reviews Online.

In The Last Decade

Co-authorship network of co-authors of Sebastian Seung i

Fields of papers citing papers by Sebastian Seung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Seung

Since Specialization
Citations

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