P. Krooß

1.7k total citations
85 papers, 1.4k citations indexed

About

P. Krooß is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, P. Krooß has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Materials Chemistry, 59 papers in Mechanical Engineering and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in P. Krooß's work include Shape Memory Alloy Transformations (64 papers), High Entropy Alloys Studies (33 papers) and Titanium Alloys Microstructure and Properties (27 papers). P. Krooß is often cited by papers focused on Shape Memory Alloy Transformations (64 papers), High Entropy Alloys Studies (33 papers) and Titanium Alloys Microstructure and Properties (27 papers). P. Krooß collaborates with scholars based in Germany, Russia and United States. P. Krooß's co-authors include Thomas Niendorf, Malte Vollmer, Hans Jürgen Maier, İbrahim Karaman, Christoph Somsen, Y.I. Chumlyakov, Gunther Eggeler, Horst Biermann, Anja Weidner and Li-Wei Tseng and has published in prestigious journals such as Acta Materialia, Scientific Reports and Cement and Concrete Research.

In The Last Decade

P. Krooß

79 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
P. Krooß Germany 23 1.1k 836 214 98 89 85 1.4k
Malte Vollmer Germany 21 825 0.8× 862 1.0× 149 0.7× 99 1.0× 196 2.2× 61 1.2k
Meng Huang China 18 786 0.7× 980 1.2× 21 0.1× 34 0.3× 32 0.4× 30 1.2k
Maria Elisa Tata Italy 17 537 0.5× 560 0.7× 30 0.1× 97 1.0× 96 1.1× 90 983
Jukka Kömi Finland 23 1.2k 1.1× 1.7k 2.1× 103 0.5× 56 0.6× 56 0.6× 191 1.9k
Jean‐Michel Missiaen France 19 279 0.3× 915 1.1× 28 0.1× 77 0.8× 315 3.5× 70 1.1k
Gregory Gerstein Germany 18 733 0.7× 946 1.1× 79 0.4× 19 0.2× 19 0.2× 105 1.3k
Aljaž Ivekovič Slovenia 13 433 0.4× 801 1.0× 36 0.2× 16 0.2× 245 2.8× 31 1.1k
Adam Grajcar Poland 26 1.4k 1.3× 2.0k 2.3× 244 1.1× 45 0.5× 22 0.2× 156 2.1k
Girolamo Costanza Italy 16 416 0.4× 457 0.5× 23 0.1× 88 0.9× 89 1.0× 77 817
Susumu Takamori Japan 14 407 0.4× 630 0.8× 74 0.3× 42 0.4× 27 0.3× 63 822

Countries citing papers authored by P. Krooß

Since Specialization
Citations

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

Fields of papers citing papers by P. Krooß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Krooß

This figure shows the co-authorship network connecting the top 25 collaborators of P. Krooß. A scholar is included among the top collaborators of P. Krooß 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 P. Krooß. P. Krooß 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.
2.
Medvedev, Alexander E., Joe Elambasseril, P. Krooß, et al.. (2024). Electron beam powder bed fusion of Ti-30Ta high-temperature shape memory alloy: microstructure and phase transformation behaviour. Virtual and Physical Prototyping. 19(1). 1 indexed citations
3.
Gerstein, Gregory, Mykhaylo Motylenko, P. Krooß, et al.. (2024). Unraveling factors affecting the reversibility of martensitic phase transformation in FeNiCoAlTi shape memory alloys: Insights from HR-EBSD and acoustic emission analysis. Acta Materialia. 276. 120146–120146. 4 indexed citations
4.
Herbst, Sebastian, Florian Nürnberger, P. Krooß, et al.. (2024). Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion. npj Materials Degradation. 8(1).
5.
Scheibel, Franziska, P. Krooß, Stefan Riegg, et al.. (2023). Additive manufacturing of Ni-Mn-Sn shape memory Heusler alloy – Microstructure and magnetic properties from powder to printed parts. Materialia. 29. 101783–101783. 10 indexed citations
6.
Zelaya, Eugenia, et al.. (2023). On the Impact of γ´ Precipitates on the Transformation Temperatures in Fe–Ni–Co–Al–Ti–B Shape Memory Alloy Wires. Shape Memory and Superelasticity. 10(1). 37–44. 2 indexed citations
7.
Sobrero, C., et al.. (2023). Cyclic Superelastic Behavior of Iron-Based Fe-Ni-Co-Al-Ti-Nb Shape Memory Alloy. Journal of Materials Engineering and Performance. 32(19). 8593–8599. 5 indexed citations
8.
Vollmer, Malte, P. Krooß, Grzegorz Korpała, et al.. (2023). On the influence of crystallographic orientation on superelasticity - Fe-Mn-Al-Ni shape memory alloys studied by advanced in situ characterization techniques. Materials Science and Engineering A. 871. 144830–144830. 9 indexed citations
9.
Böhm, Stefan, et al.. (2023). Electron beam powder bed fusion for direct microstructure design – In-depth analysis of prospects and limitations of the multi spot scanning strategy. Journal of Manufacturing Processes. 108. 485–497. 5 indexed citations
10.
Krooß, P., et al.. (2023). Internal prestressing of ultra‐high performance concrete using shape memory fibers. PAMM. 23(1). 1 indexed citations
11.
12.
Herbst, Sebastian, Florian Nürnberger, P. Krooß, et al.. (2022). Corrosion fatigue behavior of electron beam melted iron in simulated body fluid. npj Materials Degradation. 6(1). 7 indexed citations
13.
Sajadifar, Seyed Vahid, et al.. (2021). Effects of Aging under Stress on Mechanical Properties and Microstructure of EN AW 7075 Alloy. Metals. 11(7). 1142–1142. 10 indexed citations
14.
Richter, Julia, et al.. (2021). On the Microstructural and Cyclic Mechanical Properties of Pure Iron Processed by Electron Beam Melting. Advanced Engineering Materials. 23(6). 13 indexed citations
15.
Weidner, Anja, Alexei Vinogradov, Malte Vollmer, et al.. (2021). In situ characterization of the functional degradation of a [ 00 1 ¯ ] orientated Fe–Mn–Al–Ni single crystal under compression using acoustic emission measurements. Acta Materialia. 220. 117333–117333. 16 indexed citations
16.
Vollmer, Malte, P. Krooß, Alexander Wetzel, et al.. (2021). Novel prestressing applications in civil engineering structures enabled by Fe Mn Al Ni shape memory alloys. Engineering Structures. 241. 112430–112430. 34 indexed citations
17.
Krooß, P., et al.. (2019). Influence of Cr Alloying (1.5 to 5 at.%) on Martensitic Phase Transformation Temperatures in Co-Ni-Ga-Cr Thin Films. Shape Memory and Superelasticity. 5(1). 106–112. 1 indexed citations
18.
Vollmer, Malte, P. Krooß, İbrahim Karaman, & Thomas Niendorf. (2016). On the effect of titanium on quenching sensitivity and pseudoelastic response in Fe-Mn-Al-Ni-base shape memory alloy. Scripta Materialia. 126. 20–23. 51 indexed citations
19.
Tseng, Li-Wei, Ji Ma, Malte Vollmer, et al.. (2016). Effect of grain size on the superelastic response of a FeMnAlNi polycrystalline shape memory alloy. Scripta Materialia. 125. 68–72. 61 indexed citations
20.
Krooß, P., Martin Joachim Holzweißig, Thomas Niendorf, et al.. (2014). Thermal cycling behavior of an aged FeNiCoAlTa single-crystal shape memory alloy. Scripta Materialia. 81. 28–31. 29 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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