Scientific Discovery: Computational Explorations of the Creative Processes
Impact in
Classified as
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w75827870 →Countries where authors are citing Scientific Discovery: Computational Explorations of the Creative Processes
This map shows the geographic impact of Scientific Discovery: Computational Explorations of the Creative Processes. 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 Scientific Discovery: Computational Explorations of the Creative Processes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scientific Discovery: Computational Explorations of the Creative Processes more than expected).
Fields of papers citing Scientific Discovery: Computational Explorations of the Creative Processes
This network shows the impact of Scientific Discovery: Computational Explorations of the Creative Processes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Scientific Discovery: Computational Explorations of the Creative Processes.
About Scientific Discovery: Computational Explorations of the Creative Processes
This paper, published in 1987, received 479 indexed citations . Written by Pat Langley, Herbert A. Simon, Gary L. Bradshaw and Jan M. Żytkow covering the research area of History and Philosophy of Science. It is primarily cited by scholars working on Artificial Intelligence (216 citations), Experimental and Cognitive Psychology (77 citations), History and Philosophy of Science (73 citations), Computational Theory and Mathematics (61 citations) and Developmental and Educational Psychology (60 citations). Published in Medical Entomology and Zoology.
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/w75827870.