Case-Based Reasoning: Experiences, Lessons and Future Directions
Impact in
- Authors
- David Leake
- Journal
- MIT Press eBooks
In The Last Decade
doi.org/w3021167 →Countries where authors are citing Case-Based Reasoning: Experiences, Lessons and Future Directions
This map shows the geographic impact of Case-Based Reasoning: Experiences, Lessons and Future Directions. 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 Case-Based Reasoning: Experiences, Lessons and Future Directions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Case-Based Reasoning: Experiences, Lessons and Future Directions more than expected).
Fields of papers citing Case-Based Reasoning: Experiences, Lessons and Future Directions
This network shows the impact of Case-Based Reasoning: Experiences, Lessons and Future Directions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Case-Based Reasoning: Experiences, Lessons and Future Directions.
About Case-Based Reasoning: Experiences, Lessons and Future Directions
This paper, published in 1996, received 532 indexed citations . Written by David Leake. It is primarily cited by scholars working on Artificial Intelligence (363 citations), Information Systems (144 citations), Computer Networks and Communications (74 citations), Management Science and Operations Research (55 citations) and Industrial and Manufacturing Engineering (39 citations). Published in 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/w3021167.