Dan Crisan

94 papers and 1.9k indexed citations i.

About

Dan Crisan is a scholar working on Finance, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Dan Crisan has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Finance, 29 papers in Artificial Intelligence and 20 papers in Mathematical Physics. Recurrent topics in Dan Crisan’s work include Stochastic processes and financial applications (34 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers) and Markov Chains and Monte Carlo Methods (12 papers). Dan Crisan is often cited by papers focused on Stochastic processes and financial applications (34 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers) and Markov Chains and Monte Carlo Methods (12 papers). Dan Crisan collaborates with scholars based in United Kingdom, France and United States. Dan Crisan's co-authors include Arnaud Doucet, Terry Lyons, Darryl D. Holm, Ajay Jasra, Alexandros Beskos, Joaquı́n Mı́guez, François Delarue, Jie Xiong, Jean-François Chassagneux and Wei Pan and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Signal Processing and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Co-authorship network of co-authors of Dan Crisan i

Fields of papers citing papers by Dan Crisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Crisan

Since Specialization
Citations

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