Inceptionism: Going Deeper into Neural Networks

290 indexed citations
published 2015

Impact in

Authors
Alexander MordvintsevChristopher OlahMike Tyka

In The Last Decade

doi.org/w38995926 →

Countries where authors are citing Inceptionism: Going Deeper into Neural Networks

Specialization
Citations

This map shows the geographic impact of Inceptionism: Going Deeper into Neural Networks. 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 Inceptionism: Going Deeper into Neural Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inceptionism: Going Deeper into Neural Networks more than expected).

Fields of papers citing Inceptionism: Going Deeper into Neural Networks

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Inceptionism: Going Deeper into Neural Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Inceptionism: Going Deeper into Neural Networks.

About Inceptionism: Going Deeper into Neural Networks

This paper, published in 2015, received 290 indexed citations . Written by Alexander Mordvintsev, Christopher Olah and Mike Tyka. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (142 citations), Artificial Intelligence (114 citations), Cognitive Neuroscience (55 citations), Computer Graphics and Computer-Aided Design (20 citations) and Radiology, Nuclear Medicine and Imaging (15 citations).

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.

This paper is also available at doi.org/w38995926.

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