K. Piechór
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 10%
- Mechanics of Materials top 10%
- Aerospace Engineering top 10%
- Co-authors
- Ronald FedkiwBogdan KaźmierczakMarek KimmelPawel PaszekTomasz LipniackiR. JackiwTadeusz Płatkowski
- Topics
- Gas Dynamics and Kinetic Theory (8 papers)Mathematical Biology Tumor Growth (4 papers)Advanced Thermodynamics and Statistical Mechanics (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Partner nations
- PolandUnited StatesRussia
In The Last Decade
K. Piechór
16 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computational Mechanics 387
- Computer Vision and Pattern Recognition 154
- Civil and Structural Engineering 105
- Mechanics of Materials 105
- Aerospace Engineering 88
Countries citing papers authored by K. Piechór
This map shows the geographic impact of K. Piechór'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. Piechór with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Piechór more than expected).
Fields of papers citing papers by K. Piechór
This network shows the impact of papers produced by K. Piechór. 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. Piechór. The network helps show where K. Piechór may publish in the future.
Co-authorship network of co-authors of K. Piechór
This figure shows the co-authorship network connecting the top 25 collaborators of K. Piechór. A scholar is included among the top collaborators of K. Piechór 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 K. Piechór. K. Piechór 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 | 2 | |
| 3 | 1 | |
| 4 | Non-local Korteweg stresses from kinetic theory point of view | 8 |
| 5 | 13 | |
| 6 | Level Set Methods and Dynamic Implicit Surfacesbreakdown → | 815 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | The dependence of dynamic phase transitions on parameters | 2 |
| 16 | 6 | |
| 17 | Discrete velocity models for mixtures of noble and chemically active gases | 2 |
| 18 | Spectral problems for semidiscrete and discrete models of the Boltzmann equation. I | 5 |
| 19 | 1 |
About K. Piechór
K. Piechór is a scholar working on Applied Mathematics, Modeling and Simulation and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 893 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (8 papers), Mathematical Biology Tumor Growth (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (74 citations), Computational Mechanics (387 citations) and Computer Vision and Pattern Recognition (154 citations). K. Piechór has collaborated with scholars based in Poland, United States and Russia. Frequent co-authors include Ronald Fedkiw, Bogdan Kaźmierczak, Marek Kimmel, Pawel Paszek, Tomasz Lipniacki, R. Jackiw and Tadeusz Płatkowski. Their work appears in journals such as Applied Mechanics Reviews, Journal of Statistical Physics and Mathematical and Computer Modelling.
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.