R. Perzynski

149 papers receiving 4.4k citations

Peers

R. Perzynski
Comparison fields: 5 of 111
  • Biomedical Engineering 2.7k
  • Physiology 269
  • Condensed Matter Physics 554
  • Physical and Theoretical Chemistry 373
  • Renewable Energy, Sustainability and the Environment 651
Replace Emmanuelle Dubois with:
Emmanuelle Dubois France
М. В. Авдеев Russia
Sara A. Majetich United States
Takashi Nakagawa Japan
Jayendran C. Rasaiah United States
Dennis C. Prieve United States
В. Л. Аксенов Russia
Phil Attard Australia
Antonio Faraone United States
Л. А. Булавін Ukraine
R. Perzynski relative to Emmanuelle Dubois France Emmanuelle Dubois's profile →
Citations per field
00.5×1.5×2.2×
Emmanuelle Dubois · 1×
Citations per year

Countries citing papers authored by R. Perzynski

Since Specialization
Citations

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

Fields of papers citing papers by R. Perzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Perzynski, 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 R. Perzynski Line = papers co-authored together R. Perzynski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990200
2 1986197
3 1995189
4 1999132
5 1989123
6 2008120
7 1998105
8 200095
9 199494
10 199991
11 199690
12 200283
13 199578
14 201877
15 199774
16 200071
17 200271
18 199570
19 199768
20 199963

About R. Perzynski

R. Perzynski is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 151 papers that have together received 4.5k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (105 papers), Geomagnetism and Paleomagnetism Studies (38 papers), Theoretical and Computational Physics (20 papers), Electrostatics and Colloid Interactions (18 papers), Material Dynamics and Properties (16 papers), Magnetic Properties and Synthesis of Ferrites (14 papers), Field-Flow Fractionation Techniques (12 papers) and Advanced Thermodynamics and Statistical Mechanics (12 papers). The work is most often cited by research in Biomedical Engineering (2.7k citations), Physiology (269 citations), Condensed Matter Physics (554 citations), Physical and Theoretical Chemistry (373 citations) and Renewable Energy, Sustainability and the Environment (651 citations). R. Perzynski has collaborated with scholars based in France, Latvia and Brazil. Frequent co-authors include J.-C. Bacri, Emmanuelle Dubois, Valérie Cabuil, Yu. L. Raĭkher, A. Cēbers, D. Salin, R. Massart, Florence Gazeau, François Boué and J. Depeyrot. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Europhysics Letters (EPL), The Journal of Physical Chemistry C, The European Physical Journal E and Journal of Colloid and Interface Science.

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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