Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

326 indexed citations

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This paper, published in 2007, received 326 indexed citations. Written by Lise Getoor and Ben Taskar covering the research area of Information Systems. It is primarily cited by scholars working on Artificial Intelligence (293 citations), Signal Processing (60 citations) and Information Systems (47 citations). Published in The MIT Press eBooks.

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Countries where authors are citing Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

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This map shows the geographic impact of Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning). 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 Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) more than expected).

Fields of papers citing Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning).

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/w5869559.

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