Efficient BackProp
Impact in
- Journal
- Neural Information Processing Systems
In The Last Decade
doi.org/w3263561 →Countries where authors are citing Efficient BackProp
This map shows the geographic impact of Efficient BackProp. 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 Efficient BackProp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efficient BackProp more than expected).
Fields of papers citing Efficient BackProp
This network shows the impact of Efficient BackProp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Efficient BackProp.
About Efficient BackProp
This paper, published in 1998, received 951 indexed citations . Written by Yann LeCun, Léon Bottou, Genevieve Orr and Klaus‐Robert Müller. It is primarily cited by scholars working on Artificial Intelligence (465 citations), Computer Vision and Pattern Recognition (345 citations), Signal Processing (121 citations), Electrical and Electronic Engineering (108 citations) and Cognitive Neuroscience (61 citations). Published in Neural Information Processing Systems.
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/w3263561.