Camelia Prodan

1.3k citations
28 papers · 1.0k · h-index 13

Impact in

Papers in

Camelia Prodan

26 papers receiving 984 citations

Peers

Camelia Prodan
Comparison fields: 5 of 87
  • Atomic and Molecular Physics, and Optics 621
  • Acoustics and Ultrasonics 15
  • Statistical and Nonlinear Physics 110
  • Electronic, Optical and Magnetic Materials 158
  • Biomedical Engineering 322
Replace Joerg Baumgartl with:
Joerg Baumgartl United Kingdom
Carl P. Goodrich United States
Daniel de las Heras Germany
Kranthi K. Mandadapu United States
Jean-Marc Fournier United States
Weilong She China
F. Ianni Italy
Weining Man United States
D. I. Sementsov Russia
Jin‐Ming Cui China
Camelia Prodan relative to Joerg Baumgartl United Kingdom Joerg Baumgartl's profile →
Citations per field
00.5×7.6×
Joerg Baumgartl · 1×
Citations per year

Countries citing papers authored by Camelia Prodan

Since Specialization
Citations

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

Fields of papers citing papers by Camelia Prodan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Camelia Prodan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Camelia Prodan Line = papers co-authored together Camelia Prodan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009276
2 2019103
3 201976
4 202075
5 200466
6 201865
7 200864
8 200962
9 201748
10 199942
11 200724
12 202319
13 201313
14 202312
15 201211
16 202110
17 20248
18 20007
19 20206
20 20134

About Camelia Prodan

Camelia Prodan is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering, Cell Biology, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topological Materials and Phenomena (12 papers), Microfluidic and Bio-sensing Technologies (8 papers), Quantum Mechanics and Non-Hermitian Physics (5 papers), Microtubule and mitosis dynamics (4 papers), Metamaterials and Metasurfaces Applications (4 papers), Quantum many-body systems (3 papers), Electrostatics and Colloid Interactions (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (621 citations), Acoustics and Ultrasonics (15 citations), Statistical and Nonlinear Physics (110 citations), Electronic, Optical and Magnetic Materials (158 citations) and Biomedical Engineering (322 citations). Camelia Prodan has collaborated with scholars based in United States and China. Frequent co-authors include Emil Prodan, David J. Apigo, John H. Miller, Kai Qian, J. R. Claycomb, Andrea Alù, Kai Chen, Frank R. Mayo, Michael J. Benedik and Yafis Barlas. Their work appears in journals such as Biophysical Journal, Physical Review Letters, Nature Communications, Physiological Measurement and Journal of Physics D Applied 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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