Artificial Intelligence: A Guide to Intelligent Systems
- Authors
- Michael Negnevitsky
- Journal
- eCite Digital Repository (University of Tasmania)
In The Last Decade
doi.org/w44121137 →Countries where authors are citing Artificial Intelligence: A Guide to Intelligent Systems
This map shows the geographic impact of Artificial Intelligence: A Guide to Intelligent Systems. 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 Artificial Intelligence: A Guide to Intelligent Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artificial Intelligence: A Guide to Intelligent Systems more than expected).
Fields of papers citing Artificial Intelligence: A Guide to Intelligent Systems
This network shows the impact of Artificial Intelligence: A Guide to Intelligent Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Artificial Intelligence: A Guide to Intelligent Systems.
About Artificial Intelligence: A Guide to Intelligent Systems
This paper, published in 2001, received 1.5k indexed citations . Written by Michael Negnevitsky covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (566 citations), Information Systems (308 citations) and Electrical and Electronic Engineering (201 citations). Published in eCite Digital Repository (University of Tasmania).
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/w44121137.