Dan Crisan

4.6k total citations · 1 hit paper
97 papers, 2.5k citations indexed

About

Dan Crisan is a scholar working on Finance, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Dan Crisan has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Finance, 28 papers in Artificial Intelligence and 19 papers in Mathematical Physics. Recurrent topics in Dan Crisan's work include Stochastic processes and financial applications (36 papers), Target Tracking and Data Fusion in Sensor Networks (24 papers) and Fluid Dynamics and Turbulent Flows (12 papers). Dan Crisan is often cited by papers focused on Stochastic processes and financial applications (36 papers), Target Tracking and Data Fusion in Sensor Networks (24 papers) and Fluid Dynamics and Turbulent Flows (12 papers). Dan Crisan collaborates with scholars based in United Kingdom, France and United States. Dan Crisan's co-authors include Randal Douc, Alan Bain, Terry Lyons, Darryl D. Holm, Ajay Jasra, Alexandros Beskos, B. L. Rozovskiĭ, François Delarue, Joaquı́n Mı́guez and Jie Xiong 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

Dan Crisan

93 papers receiving 2.3k citations

Hit Papers

A survey of convergence results on particle filtering met... 2002 2026 2010 2018 2002 200 400 600

Peers

Dan Crisan
Comparison fields: 5 of 110
  • Artificial Intelligence 1.0k
  • Finance 733
  • Control and Systems Engineering 328
  • Statistics and Probability 276
  • Statistical and Nonlinear Physics 245
Replace B. L. Rozovskiĭ with:
B. L. Rozovskiĭ United States
Alexandre d’Aspremont France
Arnulf Jentzen Germany
Guy P. Nason United Kingdom
Raúl Tempone Saudi Arabia
Gennady Samorodnitsky United States
Moshe Zakai Israel
Amarjit Budhiraja United States
Andrea Walther Germany
Randal Douc France
B. L. Rozovskiĭ United States View profile →
Citations per field, relative to Dan Crisan
Dan Crisan · 1×
Citations per year, relative to Dan Crisan
Dan Crisan · 1×

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).

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.

Co-authorship network of co-authors of Dan Crisan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Crisan. A scholar is included among the top collaborators of Dan Crisan 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 Dan Crisan. Dan Crisan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 2
4 4
5 7
6 1
7 9
8 7
9 1
10 12
11 8
12 1
13 4
14 12
15 4
16 3
17 26
18 32
19 2
20 16

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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