Yuval Dagan

477 total citations
33 papers, 237 citations indexed

About

Yuval Dagan is a scholar working on Computational Mechanics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Yuval Dagan has authored 33 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 10 papers in Ocean Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Yuval Dagan's work include Combustion and flame dynamics (12 papers), Particle Dynamics in Fluid Flows (10 papers) and Machine Learning and Algorithms (7 papers). Yuval Dagan is often cited by papers focused on Combustion and flame dynamics (12 papers), Particle Dynamics in Fluid Flows (10 papers) and Machine Learning and Algorithms (7 papers). Yuval Dagan collaborates with scholars based in Israel, United States and United Kingdom. Yuval Dagan's co-authors include Tali Bar-Kohany, Santosh J. Shanbhogue, Ahmed F. Ghoniem, John W. M. Bush, David Katoshevski, J.B. Greenberg, Konstantina Vogiatzaki, Soufien Taamallah, Y. Tambour and Shay Moran and has published in prestigious journals such as Journal of Fluid Mechanics, Combustion and Flame and Physics of Fluids.

In The Last Decade

Yuval Dagan

26 papers receiving 233 citations

Peers

Yuval Dagan
Comparison fields: 5 of 45
  • Computational Mechanics 143
  • Ocean Engineering 87
  • Aerospace Engineering 61
  • Fluid Flow and Transfer Processes 51
  • Safety, Risk, Reliability and Quality 36
Replace Thomas D. Dreeben with:
Thomas D. Dreeben United States
Mario Di Renzo United States
Jonathan F. MacArt United States
Guillaume Lehnasch France
J.‐C. Latché France
Pedro Stefanin Volpiani France
Thomas Jaravel France
R. Chitty United Kingdom
Yongchao Sun China
Hugues Deniau France
Thomas D. Dreeben United States View profile →
Citations per field, relative to Yuval Dagan
Yuval Dagan · 1×
Citations per year, relative to Yuval Dagan
Yuval Dagan · 1×

Countries citing papers authored by Yuval Dagan

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Dagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Dagan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Dagan. A scholar is included among the top collaborators of Yuval Dagan 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 Yuval Dagan. Yuval Dagan 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 0
3 0
4 7
5 1
6 7
7 2
8 10
9
PAC learning with stable and private predictions
0
10 20
11
Learning from weakly dependent data under Dobrushin's condition
2
12 0
13 11
14
A Better Resource Allocation Algorithm with Semi-Bandit Feedback
0
15
2
16 6
17 2
18 14
19 8
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026