Recurrent Convolutional Neural Networks for Scene Labeling
- Authors
- Pedro O. PinheiroRonan Collobert
- Journal
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)
In The Last Decade
doi.org/w8362422 →Countries where authors are citing Recurrent Convolutional Neural Networks for Scene Labeling
This map shows the geographic impact of Recurrent Convolutional Neural Networks for Scene Labeling. 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 Recurrent Convolutional Neural Networks for Scene Labeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Recurrent Convolutional Neural Networks for Scene Labeling more than expected).
Fields of papers citing Recurrent Convolutional Neural Networks for Scene Labeling
This network shows the impact of Recurrent Convolutional Neural Networks for Scene Labeling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Recurrent Convolutional Neural Networks for Scene Labeling.
About Recurrent Convolutional Neural Networks for Scene Labeling
This paper, published in 2014, received 363 indexed citations . Written by Pedro O. Pinheiro and Ronan Collobert covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (264 citations), Artificial Intelligence (96 citations) and Media Technology (39 citations). Published in Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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/w8362422.