Martin Casdagli
- Statistical and Nonlinear Physics top 0.2%
- Economics and Econometrics top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- Timothy SauerJames A. YorkeStephen EubankJ. Doyne FarmerJohn GibsonRobert SavitLeonidas IasemidisJ. Chris Sackellares
- Topics
- Chaos control and synchronization (5 papers)Complex Systems and Time Series Analysis (5 papers)Neural Networks and Applications (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the Royal Statistical Society Series B (Statistical Methodology)Electroencephalography and Clinical Neurophysiology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Martin Casdagli
16 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Statistical and Nonlinear Physics 1.9k
- Economics and Econometrics 1.3k
- Artificial Intelligence 1.0k
- Computer Networks and Communications 763
- Cognitive Neuroscience 728
Countries citing papers authored by Martin Casdagli
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).
Fields of papers citing papers by Martin Casdagli
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.
Co-authorship network of co-authors of Martin Casdagli
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Casdagli. A scholar is included among the top collaborators of Martin Casdagli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Casdagli. Martin Casdagli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 23 | |
| 3 | 144 | |
| 4 | 199 | |
| 5 | 49 | |
| 6 | Nonlinear modeling and forecasting : proceedings of the Workshop on Nonlinear Modeling and Forecasting held September, 1990, in Sante Fe, New Mexico | 3 |
| 7 | 146 | |
| 8 | 247 | |
| 9 | Nonlinear Modeling And Forecasting | 171 |
| 10 | 388 | |
| 11 | Embedologybreakdown → | 1513 |
| 12 | Nonlinear modeling of chaotic time series: Theory and applications | 52 |
| 13 | Nonlinear prediction of chaotic time seriesbreakdown → | 1011 |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 79 |
About Martin Casdagli
Martin Casdagli is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Signal Processing, having authored 16 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chaos control and synchronization (5 papers), Complex Systems and Time Series Analysis (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.9k citations), Signal Processing (652 citations) and Economics and Econometrics (1.3k citations). Martin Casdagli has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Timothy Sauer, James A. Yorke, Stephen Eubank, J. Doyne Farmer, John Gibson, Robert Savit, Leonidas Iasemidis, J. Chris Sackellares, Steven N. Roper and Robin L. Gilmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Electroencephalography and Clinical Neurophysiology.
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.