Damir Jurić

4.7k citations
79 papers · 3.5k indexed · 2 hit papers · h-index 21

Damir Jurić

75 papers receiving 3.4k citations

Hit Papers

A Front-Tracking Method for the Computations of Multiphas...19982026200720162001199850010001.5k

Peers

Damir Jurić
Comparison fields: 5 of 104
  • Computational Mechanics 2.9k
  • Biomedical Engineering 754
  • Mechanical Engineering 440
  • Ocean Engineering 430
  • Materials Chemistry 408
Replace Asghar Esmaeeli with:
Asghar Esmaeeli United States
Douglas B. Kothe United States
Gautam Biswas India
Yuriko Renardy United States
Mauro Sbragaglia Italy
Jianming Yang United States
G. R. Liu Singapore
Orest Shardt Ireland
David P. Schmidt United States
Damir Jurić relative to Asghar Esmaeeli United States Asghar Esmaeeli's profile →
Citations per field
00.5×
Asghar Esmaeeli · 1×
Citations per year

Countries citing papers authored by Damir Jurić

Since Specialization
Citations

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

Fields of papers citing papers by Damir Jurić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damir Jurić

This figure shows the co-authorship network connecting the top 25 collaborators of Damir Jurić. A scholar is included among the top collaborators of Damir Jurić 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 Damir Jurić. Damir Jurić 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
#WorkIndexed citations
1 0
2 7
3 5
4 2
5 2
6 1
7 5
8 24
9 26
10 1
11
Direct simulation of fluid-structure interaction with Blue
1
12 11
13 28
14
E-business infrastructure for supporting the integration of tourist services
2
15 66
16
Improving search on WWW.HR web directory by introducing ontologies
0
17 2
18
Direct computations of solidification with fluid flow
1
19 3
20
Computations of Drop Collision and Coalescence
2

About Damir Jurić

Damir Jurić is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Surfaces, Coatings and Films, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (46 papers), Lattice Boltzmann Simulation Studies (17 papers) and Particle Dynamics in Fluid Flows (13 papers). The work is most often cited by research in Computational Mechanics (2.9k citations), Surfaces, Coatings and Films (403 citations) and Computer Graphics and Computer-Aided Design (140 citations). Damir Jurić has collaborated with scholars based in France, South Korea and United Kingdom. Frequent co-authors include Grétar Tryggvason, Seungwon Shin, Selman Nas, Nabeel Al‐Rawahi, JungHyun Han, Bernard Bunner, Asghar Esmaeeli, Jalel Chergui, S. I. Abdel‐Khalik and Lyes Kahouadji. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics and Journal of Computational Physics.

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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