John S. Nicolis

36 papers and 388 indexed citations i.

About

John S. Nicolis is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, John S. Nicolis has authored 36 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 12 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in John S. Nicolis’s work include Neural Networks and Applications (9 papers), Fractal and DNA sequence analysis (7 papers) and Chaos control and synchronization (6 papers). John S. Nicolis is often cited by papers focused on Neural Networks and Applications (9 papers), Fractal and DNA sequence analysis (7 papers) and Chaos control and synchronization (6 papers). John S. Nicolis collaborates with scholars based in Greece, United States and Japan. John S. Nicolis's co-authors include Ichiro Tsuda, E.N. Protonotarios, C. Nicolis, G. Nìcolis, G. Galanos, M. Theologou and Tassos Bountis and has published in prestigious journals such as Proceedings of the IEEE, Reports on Progress in Physics and Journal of Theoretical Biology.

In The Last Decade

Co-authorship network of co-authors of John S. Nicolis i

Fields of papers citing papers by John S. Nicolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Nicolis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John S. Nicolis. The network helps show where John S. Nicolis may publish in the future.

Countries citing papers authored by John S. Nicolis

Since Specialization
Citations

This map shows the geographic impact of John S. Nicolis's research. 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 John S. Nicolis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Nicolis more than expected).

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.

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