Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

459 indexed citations

Abstract

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This paper, published in 2012, received 459 indexed citations. Written by Mika Rautiainen, Timo Korhonen, Edward Mutafungwa, Eila Ovaska, Artem Katasonov, Antti Evesti, Heikki Ailisto, Aaron Quigley, Jonna Häkkilä and Nataša Milić-Frayling covering the research area of . It is primarily cited by scholars working on Artificial Intelligence (96 citations), Computer Vision and Pattern Recognition (69 citations) and Information Systems (63 citations). Published in Lecture notes in computer science.

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Countries where authors are citing Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Specialization
Citations

This map shows the geographic impact of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) more than expected).

Fields of papers citing Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

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/w5910123.

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