Combining Pattern Classifiers: Methods and Algorithms

2.1k indexed citations
published 2005

Countries where authors are citing Combining Pattern Classifiers: Methods and Algorithms

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This map shows the geographic impact of Combining Pattern Classifiers: Methods and Algorithms. 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 Combining Pattern Classifiers: Methods and Algorithms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Combining Pattern Classifiers: Methods and Algorithms more than expected).

Fields of papers citing Combining Pattern Classifiers: Methods and Algorithms

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Combining Pattern Classifiers: Methods and Algorithms. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Combining Pattern Classifiers: Methods and Algorithms.

About Combining Pattern Classifiers: Methods and Algorithms

This paper, published in 2005, received 2.1k indexed citations . Written by Subhash Bagui covering the research area of Statistics and Probability and Analytical Chemistry. It is primarily cited by scholars working on Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (617 citations) and Signal Processing (271 citations). Published in Technometrics.

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/10.1198/tech.2005.s320.

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