From Being to Becoming: Time and Complexity in the Physical Sciences
- Authors
- George A. AgostonIlya Prigogine
- Journal
- Leonardo
In The Last Decade
doi.org/10.2307/1574751 →Countries where authors are citing From Being to Becoming: Time and Complexity in the Physical Sciences
This map shows the geographic impact of From Being to Becoming: Time and Complexity in the Physical Sciences. 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 From Being to Becoming: Time and Complexity in the Physical Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites From Being to Becoming: Time and Complexity in the Physical Sciences more than expected).
Fields of papers citing From Being to Becoming: Time and Complexity in the Physical Sciences
This network shows the impact of From Being to Becoming: Time and Complexity in the Physical Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the From Being to Becoming: Time and Complexity in the Physical Sciences.
About From Being to Becoming: Time and Complexity in the Physical Sciences
This paper, published in 1982, received 715 indexed citations . Written by George A. Agoston and Ilya Prigogine. It is primarily cited by scholars working on Statistical and Nonlinear Physics (135 citations), Cognitive Neuroscience (108 citations) and Sociology and Political Science (76 citations). Published in Leonardo.
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/10.2307/1574751.