Principles of Model Checking (Representation and Mind Series)

594 indexed citations
published 2008

Impact in

Classified as

Authors
Christel BaierJoost-Pieter Katoen
Journal
The MIT Press eBooks

In The Last Decade

doi.org/w2881384 →

Countries where authors are citing Principles of Model Checking (Representation and Mind Series)

Specialization
Citations

This map shows the geographic impact of Principles of Model Checking (Representation and Mind Series). 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 Principles of Model Checking (Representation and Mind Series) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Principles of Model Checking (Representation and Mind Series) more than expected).

Fields of papers citing Principles of Model Checking (Representation and Mind Series)

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Principles of Model Checking (Representation and Mind Series). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Principles of Model Checking (Representation and Mind Series).

About Principles of Model Checking (Representation and Mind Series)

This paper, published in 2008, received 594 indexed citations . Written by Christel Baier and Joost-Pieter Katoen covering the research area of Software, Computational Theory and Mathematics and Artificial Intelligence. It is primarily cited by scholars working on Computational Theory and Mathematics (380 citations), Artificial Intelligence (282 citations), Software (237 citations), Computer Networks and Communications (105 citations) and Hardware and Architecture (87 citations). Published in The MIT Press eBooks.

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/w2881384.

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