Dan Angelescu

1.8k total citations
50 papers, 1.4k citations indexed

About

Dan Angelescu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Dan Angelescu has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 18 papers in Electrical and Electronic Engineering and 17 papers in Materials Chemistry. Recurrent topics in Dan Angelescu's work include Block Copolymer Self-Assembly (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (8 papers) and Advanced Fiber Optic Sensors (6 papers). Dan Angelescu is often cited by papers focused on Block Copolymer Self-Assembly (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (8 papers) and Advanced Fiber Optic Sensors (6 papers). Dan Angelescu collaborates with scholars based in France, United States and United Kingdom. Dan Angelescu's co-authors include P. M. Chaikin, Richard A. Register, Judith H. Waller, Douglas H. Adamson, M. C. Cross, M. L. Roukes, Paru Deshpande, S. Y. Chou, Matthew L. Trawick and Daniel A. Vega and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Physical review. B, Condensed matter.

In The Last Decade

Dan Angelescu

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Angelescu France 17 930 405 362 276 212 50 1.4k
Sergey V. Lishchuk United Kingdom 16 360 0.4× 259 0.6× 147 0.4× 98 0.4× 110 0.5× 52 893
François Drolet United States 12 1.2k 1.3× 149 0.4× 84 0.2× 544 2.0× 79 0.4× 24 1.6k
J.-C. Desplat United Kingdom 7 573 0.6× 126 0.3× 103 0.3× 315 1.1× 69 0.3× 11 908
Laurent Lobry France 20 473 0.5× 385 1.0× 172 0.5× 121 0.4× 94 0.4× 42 1.3k
Xingwang Shi China 13 285 0.3× 116 0.3× 389 1.1× 204 0.7× 47 0.2× 22 944
Matthew Sullivan United States 16 383 0.4× 359 0.9× 167 0.5× 134 0.5× 70 0.3× 47 879
Martin Linck United States 18 437 0.5× 438 1.1× 206 0.6× 18 0.1× 289 1.4× 71 1.4k
Takashi Inoue Japan 20 318 0.3× 223 0.6× 785 2.2× 137 0.5× 210 1.0× 105 1.6k
A. Hammiche United Kingdom 23 634 0.7× 361 0.9× 249 0.7× 147 0.5× 592 2.8× 44 1.6k
Marisol Ripoll Germany 22 630 0.7× 568 1.4× 38 0.1× 124 0.4× 97 0.5× 48 1.6k

Countries citing papers authored by Dan Angelescu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Angelescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Angelescu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Angelescu. A scholar is included among the top collaborators of Dan Angelescu 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 Angelescu. Dan Angelescu 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
1.
Angelescu, Dan, et al.. (2024). Addressing underestimation of waterborne disease risks due to fecal indicator bacteria bound in aggregates. Journal of Applied Microbiology. 135(11).
2.
3.
Rouyer, Florence, et al.. (2016). Yield-stress fluids foams: flow patterns and controlled production in T-junction and flow-focusing devices. Soft Matter. 12(46). 9355–9363. 6 indexed citations
4.
Gaber, Noha, Frédéric Marty, Diaa Khalil, et al.. (2015). Volume refractometry of liquids using stable optofluidic Fabry-Pérot resonator with curved surfaces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9375. 93750T–93750T. 1 indexed citations
5.
Rouyer, Florence, et al.. (2015). Bubble Formation in Yield Stress Fluids Using Flow-Focusing andT-Junction Devices. Physical Review Letters. 114(20). 204501–204501. 15 indexed citations
6.
Gaber, Noha, et al.. (2014). Optical trapping and binding of particles in an optofluidic stable Fabry–Pérot resonator with single-sided injection. Lab on a Chip. 14(13). 2259–2259. 15 indexed citations
7.
Basset, Philippe, et al.. (2014). Static and Dynamic Aspects of Black Silicon Formation. Physical Review Letters. 113(26). 265502–265502. 16 indexed citations
8.
Marty, Frédéric, et al.. (2013). Simultaneous measurement of liquid absorbance and refractive index using a compact optofluidic probe. Lab on a Chip. 13(14). 2682–2682. 7 indexed citations
9.
Sullivan, Matthew, et al.. (2013). Pressure controlled bubble growth in microchannels. International Journal of Heat and Mass Transfer. 69. 417–423. 5 indexed citations
10.
Gaber, Noha, Xichen Yuan, Kim Nguyễn, et al.. (2012). On the free-space Gaussian beam coupling to droplet optical resonators. Lab on a Chip. 13(5). 826–826. 17 indexed citations
11.
Stoffel, Markus, Sebastian Wahl, Élise Lorenceau, et al.. (2012). Bubble Production Mechanism in a Microfluidic Foam Generator. Physical Review Letters. 108(19). 198302–198302. 46 indexed citations
12.
Nguyễn, Kim, et al.. (2012). Study of black silicon obtained by cryogenic plasma etching: approach to achieve the hot spot of a thermoelectric energy harvester. Microsystem Technologies. 18(11). 1807–1814. 25 indexed citations
13.
Lorenceau, Élise, et al.. (2012). A microfluidic technique for generating monodisperse submicron-sized drops. RSC Advances. 3(7). 2330–2330. 12 indexed citations
14.
Nguyễn, Kim, Philippe Basset, Elodie Richalot, et al.. (2011). Black silicon with sub-percent reflectivity: Influence of the 3D texturization geometry. 354–357. 12 indexed citations
15.
Mercier, Bruno, et al.. (2010). Time-of-flight thermal flowrate sensor for lab-on-chip applications. Lab on a Chip. 11(2). 215–223. 54 indexed citations
16.
Vega, Daniel A., Christopher Harrison, Dan Angelescu, et al.. (2005). Ordering mechanisms in two-dimensional sphere-forming block copolymers. Physical Review E. 71(6). 61803–61803. 106 indexed citations
17.
Angelescu, Dan, Christopher Harrison, Matthew L. Trawick, Richard A. Register, & P. M. Chaikin. (2005). Two-Dimensional Melting Transition Observed in a Block Copolymer. Physical Review Letters. 95(2). 25702–25702. 40 indexed citations
18.
Angelescu, Dan, Christopher Harrison, Matthew L. Trawick, Richard A. Register, & P. M. Chaikin. (2004). First-order melting in a 2D diblock copolymer system. APS March Meeting Abstracts. 2004. 1 indexed citations
19.
Angelescu, Dan, Judith H. Waller, Douglas H. Adamson, et al.. (2004). Macroscopic Orientation of Block Copolymer Cylinders in Single‐Layer Films by Shearing. Advanced Materials. 16(19). 1736–1740. 293 indexed citations
20.
Angelescu, Dan, Christopher Harrison, Matthew L. Trawick, et al.. (2002). Melting microdomain patterns in a diblock copolymer thin film. APS March Meeting Abstracts. 1 indexed citations

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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