Miroslav Kramár

21 papers receiving 569 citations

Peers

Miroslav Kramár
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 330
  • Biophysics 67
  • Management, Monitoring, Policy and Law 96
  • Mathematical Physics 55
  • Computational Mechanics 125
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Countries citing papers authored by Miroslav Kramár

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Kramár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201386
3 201480
4 201275
5 201654
6 201449
7 201437
8 201624
9
Topological Measurement of Protein Compressibility via Persistence Diagrams
201222
10 201618
11 201817
12 20226
13 20235
14 20214
15 20173
16 20212
17 20112
18 20232
19
Topology of force chains in dense granular materials
20101
20
Complex contagions on noisy geometric networks.
20141

About Miroslav Kramár

Miroslav Kramár is a scholar working on Computational Theory and Mathematics, Management, Monitoring, Policy and Law, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Statistical and Nonlinear Physics, having authored 22 papers that have together received 580 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Landslides and related hazards (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Granular flow and fluidized beds (6 papers), Complex Network Analysis Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Homotopy and Cohomology in Algebraic Topology (2 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (330 citations), Biophysics (67 citations), Management, Monitoring, Policy and Law (96 citations), Mathematical Physics (55 citations) and Computational Mechanics (125 citations). Miroslav Kramár has collaborated with scholars based in United States, Netherlands and Argentina. Frequent co-authors include Konstantin Mischaikow, Lou Kondic, Arnaud Goullet, Marcio Gameiro, Shunsuke Izumi, Vidit Nanda, Robert Behringer, Yasuaki Hiraoka, Heather A. Harrington and Corey S. O’Hern. Their work appears in journals such as Physical review. E, Physica D Nonlinear Phenomena, Nature Communications, Chaos An Interdisciplinary Journal of Nonlinear Science and Journal of Differential Equations.

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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