Modern Information Retrieval

7.2k indexed citations

Abstract

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About

This paper, published in 1999, received 7.2k indexed citations. Written by Ricardo Baeza‐Yates and Berthier Ribeiro‐Neto covering the research area of Signal Processing, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Artificial Intelligence (4.1k citations), Information Systems (3.6k citations) and Computer Vision and Pattern Recognition (1.6k citations). Published in CERN Document Server (European Organization for Nuclear Research).

In The Last Decade

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Countries where authors are citing Modern Information Retrieval

Specialization
Citations

This map shows the geographic impact of Modern Information Retrieval. 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 Modern Information Retrieval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modern Information Retrieval more than expected).

Fields of papers citing Modern Information Retrieval

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Modern Information Retrieval. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Modern Information Retrieval.

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/w57106221.

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