Fuzzy and neural approaches in engineering
- Authors
- Lefteri H. TsoukalasR.E. Uhrig
In The Last Decade
doi.org/w42524247 →Countries where authors are citing Fuzzy and neural approaches in engineering
This map shows the geographic impact of Fuzzy and neural approaches in engineering. 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 Fuzzy and neural approaches in engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuzzy and neural approaches in engineering more than expected).
Fields of papers citing Fuzzy and neural approaches in engineering
This network shows the impact of Fuzzy and neural approaches in engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fuzzy and neural approaches in engineering.
About Fuzzy and neural approaches in engineering
This paper, published in 1997, received 888 indexed citations . Written by Lefteri H. Tsoukalas and R.E. Uhrig covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (261 citations), Control and Systems Engineering (160 citations) and Electrical and Electronic Engineering (135 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/w42524247.