T.P.C. Klaver

1.9k total citations · 1 hit paper
25 papers, 1.5k citations indexed

About

T.P.C. Klaver is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, T.P.C. Klaver has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 11 papers in Mechanical Engineering and 5 papers in Mechanics of Materials. Recurrent topics in T.P.C. Klaver's work include Fusion materials and technologies (7 papers), Microstructure and Mechanical Properties of Steels (6 papers) and Metal and Thin Film Mechanics (5 papers). T.P.C. Klaver is often cited by papers focused on Fusion materials and technologies (7 papers), Microstructure and Mechanical Properties of Steels (6 papers) and Metal and Thin Film Mechanics (5 papers). T.P.C. Klaver collaborates with scholars based in Netherlands, United Kingdom and Sweden. T.P.C. Klaver's co-authors include Pär Olsson, Ralf Drautz, Christophe Domain, Michael W. Finnis, Barend J. Thijsse, Prithiv Thoudden Sukumar, Oliver Gutfleisch, Ruiwen Xie, Hongbin Zhang and Po‐Yen Tung and has published in prestigious journals such as Science, Physical Review B and Carbon.

In The Last Decade

T.P.C. Klaver

25 papers receiving 1.5k citations

Hit Papers

Machine learning–enabled high-entropy alloy discovery 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.P.C. Klaver Netherlands 17 917 764 290 177 160 25 1.5k
Xiang-Shan Kong China 25 1.5k 1.6× 673 0.9× 182 0.6× 144 0.8× 267 1.7× 90 1.8k
Maylise Nastar France 24 1.5k 1.7× 1.1k 1.5× 549 1.9× 314 1.8× 145 0.9× 75 2.0k
P. N. Quested United Kingdom 20 757 0.8× 1.1k 1.5× 471 1.6× 140 0.8× 52 0.3× 61 1.6k
Masatoshi Kondo Japan 21 1.1k 1.2× 493 0.6× 531 1.8× 61 0.3× 144 0.9× 103 1.4k
Masaru Nakamichi Japan 23 1.4k 1.5× 425 0.6× 296 1.0× 104 0.6× 37 0.2× 139 1.7k
S. Mukherjee India 22 796 0.9× 339 0.4× 144 0.5× 194 1.1× 86 0.5× 120 1.5k
Daniel Schwen United States 25 1.7k 1.8× 675 0.9× 510 1.8× 213 1.2× 35 0.2× 77 2.1k
R.P. Agarwala India 19 711 0.8× 749 1.0× 332 1.1× 132 0.7× 69 0.4× 61 1.2k
В. Н. Семенов Russia 19 615 0.7× 446 0.6× 182 0.6× 102 0.6× 22 0.1× 83 1.1k
C. R. Krenn United States 14 1.3k 1.4× 695 0.9× 83 0.3× 77 0.4× 76 0.5× 24 1.6k

Countries citing papers authored by T.P.C. Klaver

Since Specialization
Citations

This map shows the geographic impact of T.P.C. Klaver'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 T.P.C. Klaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.P.C. Klaver more than expected).

Fields of papers citing papers by T.P.C. Klaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.P.C. Klaver

This figure shows the co-authorship network connecting the top 25 collaborators of T.P.C. Klaver. A scholar is included among the top collaborators of T.P.C. Klaver 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 T.P.C. Klaver. T.P.C. Klaver 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.
Rao, Ziyuan, Po‐Yen Tung, Ruiwen Xie, et al.. (2022). Machine learning–enabled high-entropy alloy discovery. Science. 378(6615). 78–85. 461 indexed citations breakdown →
2.
Klaver, T.P.C., et al.. (2021). High entropy alloys towards industrial applications: High-throughput screening and experimental investigation. Materials Science and Engineering A. 830. 142297–142297. 44 indexed citations
3.
Klaver, T.P.C., et al.. (2018). Brute Force Composition Scanning with a CALPHAD Database to Find Low Temperature Body Centered Cubic High Entropy Alloys. Entropy. 20(12). 911–911. 17 indexed citations
4.
Klaver, T.P.C., et al.. (2018). Cohesive laws for shearing of iron/precipitate interfaces. Computational Materials Science. 152. 417–429. 4 indexed citations
5.
Klaver, T.P.C., et al.. (2017). MD and BCA simulations of He and H bombardment of fuzz in bcc elements. Journal of Nuclear Materials. 492. 113–121. 14 indexed citations
6.
Klaver, T.P.C., et al.. (2016). Inconsistencies in modelling interstitials in FeCr with empirical potentials. Computational Materials Science. 121. 204–208. 5 indexed citations
7.
Klaver, T.P.C., K. Nordlund, T.W. Morgan, et al.. (2016). Molecular dynamics simulations of ballistic He penetration into W fuzz. Nuclear Fusion. 56(12). 126015–126015. 26 indexed citations
8.
Klaver, T.P.C., et al.. (2014). First-principles study of point defects in an fcc Fe-10Ni-20Cr model alloy. Physical Review B. 89(2). 67 indexed citations
9.
Klaver, T.P.C., Shou-En Zhu, Marcel H. F. Sluiter, & G. C. A. M. Janssen. (2014). Molecular dynamics simulation of graphene on Cu (1 0 0) and (1 1 1) surfaces. Carbon. 82. 538–547. 38 indexed citations
10.
Bakaev, A., D. Terentyev, G. Bonny, et al.. (2013). Interaction of minor alloying elements of high-Cr ferritic steels with lattice defects: An ab initio study. Journal of Nuclear Materials. 444(1-3). 237–246. 36 indexed citations
11.
Klaver, T.P.C., D. J. Hepburn, & Graeme J. Ackland. (2012). Defect and solute properties in dilute Fe-Cr-Ni austenitic alloys from first principles. Physical Review B. 85(17). 64 indexed citations
12.
Klaver, T.P.C., Georg K. H. Madsen, & Ralf Drautz. (2012). A DFT study of formation energies of Fe–Zn–Al intermetallics and solutes. Intermetallics. 31. 137–144. 19 indexed citations
13.
Ackland, Graeme J., T.P.C. Klaver, & D. J. Hepburn. (2011). First Principles Calculations of Defects in Unstable Crystals: Austenitic Iron. MRS Proceedings. 1363. 2 indexed citations
14.
Klaver, T.P.C., Mario Luppi, Marcel H. F. Sluiter, Maaike C. Kroon, & Barend J. Thijsse. (2011). DFT Study of 1,3-Dimethylimidazolium Tetrafluoroborate on Al and Cu(111) Surfaces. The Journal of Physical Chemistry C. 115(30). 14718–14730. 15 indexed citations
15.
Terentyev, D., Pär Olsson, T.P.C. Klaver, & L. Malerba. (2008). On the migration and trapping of single self-interstitial atoms in dilute and concentrated Fe–Cr alloys: Atomistic study and comparison with resistivity recovery experiments. Computational Materials Science. 43(4). 1183–1192. 60 indexed citations
16.
Lavrentiev, M. Yu., Ralf Drautz, D. Nguyen-Manh, T.P.C. Klaver, & S. L. Dudarev. (2007). Monte Carlo study of thermodynamic properties and clustering in the bcc Fe-Cr system. Physical Review B. 75(1). 116 indexed citations
17.
Thijsse, Barend J., et al.. (2004). Molecular dynamics simulation of silicon sputtering: sensitivity to the choice of potential. Applied Surface Science. 231-232. 29–38. 22 indexed citations
18.
Kamminga, J.-D., T.P.C. Klaver, Kazuya Nakata, Barend J. Thijsse, & G. C. A. M. Janssen. (2003). The interaction of N with atomically dispersed Ti, V, Cr, Mo, and Ni in ferritic steel. Journal of Computer-Aided Materials Design. 10(1). 1–11. 20 indexed citations
19.
Klaver, T.P.C. & Barend J. Thijsse. (2003). Molecular Dynamics simulations of Cu/Ta and Ta/Cu thin film growth. Journal of Computer-Aided Materials Design. 10(2). 61–74. 21 indexed citations
20.
Hall, P. J. van, T.P.C. Klaver, & J. H. Wolter. (1988). Remote impurity scattering in heterojunctions. Semiconductor Science and Technology. 3(2). 120–123. 16 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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