R. Zagórski

3.5k total citations
162 papers, 1.4k citations indexed

About

R. Zagórski is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, R. Zagórski has authored 162 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Nuclear and High Energy Physics, 104 papers in Materials Chemistry and 53 papers in Biomedical Engineering. Recurrent topics in R. Zagórski's work include Magnetic confinement fusion research (137 papers), Fusion materials and technologies (97 papers) and Superconducting Materials and Applications (43 papers). R. Zagórski is often cited by papers focused on Magnetic confinement fusion research (137 papers), Fusion materials and technologies (97 papers) and Superconducting Materials and Applications (43 papers). R. Zagórski collaborates with scholars based in Poland, Germany and Italy. R. Zagórski's co-authors include I. Ivanova‐Stanik, H. Gerhauser, V. Pericoli Ridolfini, R. Stankiewicz, G. Telesca, H.A. Claaßen, M.L. Apicella, G. Mazzitelli, M. Borówko and M. Poradziński and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Colloid and Interface Science.

In The Last Decade

R. Zagórski

156 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Zagórski Poland 18 1.2k 948 435 296 191 162 1.4k
С. В. Мирнов Russia 23 1.1k 1.0× 1.1k 1.1× 336 0.8× 276 0.9× 202 1.1× 100 1.6k
I. Veselova Russia 17 1.5k 1.3× 1.2k 1.3× 390 0.9× 392 1.3× 139 0.7× 52 1.7k
J.D. Elder Canada 22 1.3k 1.1× 1.2k 1.3× 244 0.6× 204 0.7× 162 0.8× 83 1.5k
I. Senichenkov Russia 17 1.0k 0.9× 935 1.0× 269 0.6× 283 1.0× 92 0.5× 65 1.2k
H.D. Pacher Germany 20 1.0k 0.9× 1.1k 1.2× 345 0.8× 266 0.9× 92 0.5× 50 1.4k
E. Kaveeva Russia 19 1.5k 1.3× 1.1k 1.2× 487 1.1× 362 1.2× 152 0.8× 84 1.7k
H. Frerichs Germany 18 1.3k 1.1× 898 0.9× 330 0.8× 275 0.9× 110 0.6× 79 1.4k
S. Potzel Germany 20 1.4k 1.2× 1.1k 1.1× 397 0.9× 266 0.9× 97 0.5× 52 1.5k
K. Itami Japan 22 1.3k 1.1× 1.0k 1.1× 488 1.1× 246 0.8× 107 0.6× 99 1.5k
J. Lingertat United Kingdom 18 1.0k 0.9× 706 0.7× 322 0.7× 228 0.8× 132 0.7× 60 1.1k

Countries citing papers authored by R. Zagórski

Since Specialization
Citations

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

Fields of papers citing papers by R. Zagórski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Zagórski

This figure shows the co-authorship network connecting the top 25 collaborators of R. Zagórski. A scholar is included among the top collaborators of R. Zagórski 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 R. Zagórski. R. Zagórski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zagórski, R., I. Mario, A. Pimazzoni, et al.. (2025). Numerical reconstruction of Langmuir probe measurements obtained from the negative ion source for ITER (SPIDER). Plasma Physics and Controlled Fusion. 67(6). 65020–65020. 2 indexed citations
2.
Zagórski, R., D. Löpez‐Bruna, Karol Kozioł, et al.. (2025). Assessment of the optimal plasma parameters in SPIDER for efficient negative ion production. Journal of Instrumentation. 20(12). C12012–C12012.
3.
Telesca, G., A. R. Field, I. Ivanova‐Stanik, et al.. (2024). COREDIV simulations of D and D–T high current–high power Baseline pulses in JET-ITER like wall. Nuclear Fusion. 64(6). 66018–66018. 1 indexed citations
4.
Zagórski, R., D. Löpez‐Bruna, Karol Kozioł, et al.. (2024). Numerical Simulations of the Plasma Parameters in the SPIDER Device. IEEE Transactions on Plasma Science. 52(9). 4480–4490. 2 indexed citations
5.
Ivanova‐Stanik, I., P. Chmielewski, & R. Zagórski. (2023). Integrated core–SOL simulations for SPARC tokamak with the COREDIV code. Fusion Engineering and Design. 193. 113698–113698. 1 indexed citations
6.
Telesca, G., I. Ivanova‐Stanik, C. Pérez von Thun, et al.. (2021). Impurity behaviour in JET-ILW plasmas fuelled with gas and/or with pellets: a comparative study with the transport code COREDIV. Nuclear Fusion. 61(6). 66027–66027. 2 indexed citations
7.
Chmielewski, P., R. Zagórski, G. Telesca, et al.. (2021). TECXY simulations of Ne seeding in JET high power scenarios. Nuclear Materials and Energy. 27. 100962–100962. 1 indexed citations
8.
Ivanova‐Stanik, I., R. Zagórski, A. Chomiczewska, et al.. (2020). Influences of heating and plasma density on impurity production and transport during the ramp-down phase of JET ILW discharge. Plasma Physics and Controlled Fusion. 63(3). 35008–35008. 3 indexed citations
9.
Telesca, G., I. Ivanova‐Stanik, R. Zagórski, et al.. (2019). COREDIV numerical simulation of high neutron rate JET-ILW DD pulses in view of extension to JET-ILW DT experiments. Nuclear Fusion. 59(5). 56026–56026. 4 indexed citations
10.
Krawczyk, N., A. Czarnecka, I. Ivanova‐Stanik, et al.. (2018). Application of the VUV and the soft x-ray systems on JET for the study of intrinsic impurity behavior in neon seeded hybrid discharges. Review of Scientific Instruments. 89(10). 10D131–10D131. 5 indexed citations
11.
Gałązka, K., I. Ivanova‐Stanik, M. Bernert, et al.. (2016). Impurity Seeding in ASDEX Upgrade Tokamak Modeled by COREDIV Code. Contributions to Plasma Physics. 56(6-8). 772–777. 7 indexed citations
12.
Ivanova‐Stanik, I., L. Aho-Mantila, M. Wischmeier, R. Zagórski, & Jet Contributors. (2016). COREDIV and SOLPS Numerical Simulations of the Nitrogen Seeded JET ILW L‐mode Discharges. Contributions to Plasma Physics. 56(6-8). 760–765. 6 indexed citations
13.
Zagórski, R. & S. Golak. (2013). Modeling of solidification of MMC composites during gravity casting process. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Golak, S. & R. Zagórski. (2013). Model and optimization of electromagnetic filtration of metals. Metalurgija. 52(2). 215–218. 8 indexed citations
15.
Cesario, R., L. Amicucci, I.T. Chapman, et al.. (2013). JET(欧州トーラス共同研究施設)における定常状態運転シナリオにおける低リサイクル条件と改善されたコア閉込め. Plasma Physics and Controlled Fusion. 55(4). 1–45005. 2 indexed citations
16.
Zagórski, R. & J. Śleziona. (2010). Influence of thermal boundary condition on casting process of metal matrix composite. Archives of Materials Science and Engineering. 42. 53–61. 4 indexed citations
17.
Zagórski, R. & J. Śleziona. (2007). Pouring mould during centrifugal casting process. Archives of Materials Science and Engineering. 28. 441–444. 12 indexed citations
18.
Kalupin, D., et al.. (2006). RITM-Code Modelling of Plasmas with Edge Transport Barrier. Contributions to Plasma Physics. 46(7-9). 685–691. 1 indexed citations
19.
Finkenthal, M., et al.. (2003). Observation of anomalous Iron Ion Charge Distribution in FTU. University of North Texas Digital Library (University of North Texas).
20.
Zagórski, R., M. Borówko, S. Sokołowski, & Orest Pizio. (1999). The structure of associating hard spheres adsorbed on crystalline solids: a density functional approach. Molecular Physics. 96(5). 885–892. 4 indexed citations

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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