Optimization by simulated annealing: Quantitative studies
- Authors
- Scott Kirkpatrick
- Journal
- Journal of Statistical Physics
In The Last Decade
doi.org/10.1007/bf01009452 →Countries where authors are citing Optimization by simulated annealing: Quantitative studies
This map shows the geographic impact of Optimization by simulated annealing: Quantitative studies. 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 Optimization by simulated annealing: Quantitative studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Optimization by simulated annealing: Quantitative studies more than expected).
Fields of papers citing Optimization by simulated annealing: Quantitative studies
This network shows the impact of Optimization by simulated annealing: Quantitative studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Optimization by simulated annealing: Quantitative studies.
About Optimization by simulated annealing: Quantitative studies
This paper, published in 1984, received 1.3k indexed citations . Written by Scott Kirkpatrick covering the research area of Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. It is primarily cited by scholars working on Artificial Intelligence (301 citations), Electrical and Electronic Engineering (186 citations) and Industrial and Manufacturing Engineering (168 citations). Published in Journal of Statistical Physics.
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/10.1007/bf01009452.