Matej Praprotnik
- Materials Chemistry top 5%
- Molecular Biology top 10%
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering top 5%
- Condensed Matter Physics top 5%
- Co-authors
- Kurt KremerLuigi Delle SiteDušanka JanežičJulija ZavadlavRafael Delgado‐BuscalioniSiewert J. MarrinkChristoph JunghansJanez Mavri
- Topics
- Nanopore and Nanochannel Transport Studies (21 papers)Block Copolymer Self-Assembly (17 papers)Protein Structure and Dynamics (16 papers)
- Cited by
- Condensed Matter PhysicsPhysical and Theoretical ChemistryAtomic and Molecular Physics, and Optics
- Partner nations
- SloveniaGermanySwitzerland
In The Last Decade
Matej Praprotnik
65 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 110
- Materials Chemistry 1.2k
- Molecular Biology 975
- Atomic and Molecular Physics, and Optics 824
- Biomedical Engineering 743
- Condensed Matter Physics 388
Countries citing papers authored by Matej Praprotnik
This map shows the geographic impact of Matej Praprotnik'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 Matej Praprotnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matej Praprotnik more than expected).
Fields of papers citing papers by Matej Praprotnik
This network shows the impact of papers produced by Matej Praprotnik. 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 Matej Praprotnik. The network helps show where Matej Praprotnik may publish in the future.
Co-authorship network of co-authors of Matej Praprotnik
This figure shows the co-authorship network connecting the top 25 collaborators of Matej Praprotnik. A scholar is included among the top collaborators of Matej Praprotnik 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 Matej Praprotnik. Matej Praprotnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 19 | |
| 8 | 23 | |
| 9 | 17 | |
| 10 | 14 | |
| 11 | 45 | |
| 12 | 7 | |
| 13 | 62 | |
| 14 | 117 | |
| 15 | 8 | |
| 16 | 44 | |
| 17 | 64 | |
| 18 | 99 | |
| 19 | The split integration symplectic method. | 3 |
| 20 | 13 |
About Matej Praprotnik
Matej Praprotnik is a scholar working on Condensed Matter Physics, Numerical Analysis and Physical and Theoretical Chemistry, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (21 papers), Block Copolymer Self-Assembly (17 papers) and Protein Structure and Dynamics (16 papers). The work is most often cited by research in Condensed Matter Physics (388 citations), Physical and Theoretical Chemistry (273 citations) and Atomic and Molecular Physics, and Optics (824 citations). Matej Praprotnik has collaborated with scholars based in Slovenia, Germany and Switzerland. Frequent co-authors include Kurt Kremer, Luigi Delle Site, Dušanka Janežič, Julija Zavadlav, Rafael Delgado‐Buscalioni, Siewert J. Marrink, Christoph Junghans, Janez Mavri, Manuel N. Melo and Rudolf Podgornik. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and ACS Nano.
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.