Risk Assessment and Decision Analysis with Bayesian Networks
- Authors
- Norman Fenton
In The Last Decade
doi.org/10.1201/b13102 →Countries where authors are citing Risk Assessment and Decision Analysis with Bayesian Networks
This map shows the geographic impact of Risk Assessment and Decision Analysis with Bayesian Networks. 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 Risk Assessment and Decision Analysis with Bayesian Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risk Assessment and Decision Analysis with Bayesian Networks more than expected).
Fields of papers citing Risk Assessment and Decision Analysis with Bayesian Networks
This network shows the impact of Risk Assessment and Decision Analysis with Bayesian Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Risk Assessment and Decision Analysis with Bayesian Networks.
About Risk Assessment and Decision Analysis with Bayesian Networks
This paper, published in 2012, received 289 indexed citations . Written by Norman Fenton covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (88 citations), Statistics, Probability and Uncertainty (77 citations) and Management Science and Operations Research (40 citations).
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/10.1201/b13102.