Netlab: Algorithms for Pattern Recognition
- Authors
- Ian Nabney
- Journal
- Bristol Research (University of Bristol)
In The Last Decade
doi.org/w51658962 →Countries where authors are citing Netlab: Algorithms for Pattern Recognition
This map shows the geographic impact of Netlab: Algorithms for Pattern 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 Netlab: Algorithms for Pattern Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Netlab: Algorithms for Pattern Recognition more than expected).
Fields of papers citing Netlab: Algorithms for Pattern Recognition
This network shows the impact of Netlab: Algorithms for Pattern Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Netlab: Algorithms for Pattern Recognition.
About Netlab: Algorithms for Pattern Recognition
This paper, published in 2002, received 698 indexed citations . Written by Ian Nabney covering the research area of Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Artificial Intelligence (237 citations), Computer Vision and Pattern Recognition (118 citations) and Signal Processing (87 citations). Published in Bristol Research (University of Bristol).
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/w51658962.