Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
- Journal
- Morgan Kaufmann Publishers Inc. eBooks
In The Last Decade
doi.org/w7018532 →Countries where authors are citing Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
This map shows the geographic impact of Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert 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 Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems more than expected).
Fields of papers citing Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
This network shows the impact of Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems.
About Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
This paper, published in 1991, received 609 indexed citations . Written by Sholom M. Weiss and Casimir A. Kulikowski covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (360 citations), Information Systems (164 citations) and Computational Theory and Mathematics (99 citations). Published in Morgan Kaufmann Publishers Inc. 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/w7018532.