K. Dworecki

32 papers receiving 583 citations

Peers

K. Dworecki
Comparison fields: 5 of 97
  • Modeling and Simulation 132
  • Physical and Theoretical Chemistry 84
  • Numerical Analysis 44
  • Water Science and Technology 101
  • Statistical and Nonlinear Physics 77
Replace Aleksandar M. Spasić with:
Aleksandar M. Spasić Serbia
Bronwyn H. Bradshaw‐Hajek Australia
Saima Noor Saudi Arabia
R. Srinivasan India
Ivan Bazhlekov Bulgaria
Olegh Bilous United States
Xi-Qiang Liu China
J. Bernal‐Alvarado Mexico
Yuan-Ming Wang China
Thana Sutthibutpong Thailand
K. Dworecki relative to Aleksandar M. Spasić Serbia Aleksandar M. Spasić's profile →
Citations per field
00.5×4.9×
Aleksandar M. Spasić · 1×
Citations per year

Countries citing papers authored by K. Dworecki

Since Specialization
Citations

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

Fields of papers citing papers by K. Dworecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside K. Dworecki, 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 K. Dworecki Line = papers co-authored together K. Dworecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200572
2 198548
3 200348
4 200542
5 199542
6 200939
7 200530
8 200030
9 200725
10 200421
11 199720
12 200420
13 200420
14 200518
15 201216
16 200714
17 200514
18 200613
19 200013
20 200113

About K. Dworecki

K. Dworecki is a scholar working on Biomedical Engineering, Physical and Theoretical Chemistry, Molecular Biology, Computational Mechanics and Statistical and Nonlinear Physics, having authored 32 papers that have together received 600 indexed citations. Recurring topics across this work include Electrostatics and Colloid Interactions (12 papers), Lipid Membrane Structure and Behavior (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), Fractional Differential Equations Solutions (4 papers), Polymer Nanocomposite Synthesis and Irradiation (4 papers), Membrane-based Ion Separation Techniques (4 papers), Nanopore and Nanochannel Transport Studies (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Physical and Theoretical Chemistry (84 citations), Numerical Analysis (44 citations), Water Science and Technology (101 citations) and Statistical and Nonlinear Physics (77 citations). K. Dworecki has collaborated with scholars based in Poland, Japan and Mozambique. Frequent co-authors include Sławomir Wąsik, Andrzej Ślęzak, Tadeusz Kosztołowicz, Stanisław Mrówczyński, Wiesław Kaca, Michał Arabski, J. Edgar Anderson, Takuya Hasegawa, Jacek Wąsik and J. Żuk. Their work appears in journals such as Journal of Membrane Science, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Desalination, Physica A Statistical Mechanics and its Applications and European Biophysics Journal.

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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