Siamese Neural Networks for One-shot Image Recognition
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doi.org/w90838136 →Countries where authors are citing Siamese Neural Networks for One-shot Image Recognition
This map shows the geographic impact of Siamese Neural Networks for One-shot Image Recognition. 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 Siamese Neural Networks for One-shot Image Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siamese Neural Networks for One-shot Image Recognition more than expected).
Fields of papers citing Siamese Neural Networks for One-shot Image Recognition
This network shows the impact of Siamese Neural Networks for One-shot Image Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Siamese Neural Networks for One-shot Image Recognition.
About Siamese Neural Networks for One-shot Image Recognition
This paper, published in 2015, received 1.8k indexed citations . Written by Gregory Koch, Richard S. Zemel and Ruslan Salakhutdinov covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (987 citations), Computer Vision and Pattern Recognition (888 citations), Signal Processing (174 citations), Radiology, Nuclear Medicine and Imaging (145 citations) and Media Technology (128 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/w90838136.