Martin Casdagli

14 papers and 3.5k indexed citations i.

About

Martin Casdagli is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Martin Casdagli has authored 14 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 6 papers in Economics and Econometrics and 5 papers in Artificial Intelligence. Recurrent topics in Martin Casdagli’s work include Chaos control and synchronization (6 papers), Complex Systems and Time Series Analysis (6 papers) and Neural Networks and Applications (5 papers). Martin Casdagli is often cited by papers focused on Chaos control and synchronization (6 papers), Complex Systems and Time Series Analysis (6 papers) and Neural Networks and Applications (5 papers). Martin Casdagli collaborates with scholars based in United States, United Kingdom and Australia. Martin Casdagli's co-authors include James A. Yorke, Timothy Sauer, Stephen Eubank, John Gibson, J. Doyne Farmer, Robert Savit, J. Chris Sackellares, Steven N. Roper, Robin L. Gilmore and Leonidas Iasemidis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications in Mathematical Physics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Martin Casdagli i

Fields of papers citing papers by Martin Casdagli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Casdagli. 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 Martin Casdagli. The network helps show where Martin Casdagli may publish in the future.

Countries citing papers authored by Martin Casdagli

Since Specialization
Citations

This map shows the geographic impact of Martin Casdagli'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 Martin Casdagli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Casdagli 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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2025