Jochen Rohrer

1.4k total citations
38 papers, 729 citations indexed

About

Jochen Rohrer is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jochen Rohrer has authored 38 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 10 papers in Mechanical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Jochen Rohrer's work include MXene and MAX Phase Materials (6 papers), Metal and Thin Film Mechanics (6 papers) and Machine Learning in Materials Science (5 papers). Jochen Rohrer is often cited by papers focused on MXene and MAX Phase Materials (6 papers), Metal and Thin Film Mechanics (6 papers) and Machine Learning in Materials Science (5 papers). Jochen Rohrer collaborates with scholars based in Germany, United Kingdom and Sweden. Jochen Rohrer's co-authors include Oliver Clemens, Karsten Albe, Mohammad Ali Nowroozi, Kerstin Wissel, Per Hyldgaard, Volker L. Deringer, Sergei I. Ivlev, M. Anji Reddy, Olena Lenchuk and Alexander Stukowski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Jochen Rohrer

37 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Rohrer Germany 15 373 284 263 133 95 38 729
Smruti Dash India 17 799 2.1× 195 0.7× 108 0.4× 235 1.8× 133 1.4× 85 953
Mohamed Naji Morocco 18 539 1.4× 274 1.0× 151 0.6× 45 0.3× 67 0.7× 71 709
C. Petot France 15 497 1.3× 144 0.5× 160 0.6× 170 1.3× 45 0.5× 63 658
Jinhyuk Choi South Korea 18 451 1.2× 71 0.3× 360 1.4× 93 0.7× 245 2.6× 82 867
M.D. Mathews India 19 907 2.4× 257 0.9× 296 1.1× 111 0.8× 228 2.4× 40 1.0k
Hao Tian China 18 695 1.9× 89 0.3× 467 1.8× 67 0.5× 257 2.7× 94 1.1k
Yohei Sato Japan 12 433 1.2× 109 0.4× 219 0.8× 51 0.4× 186 2.0× 46 680
R. Viswanathan India 15 342 0.9× 94 0.3× 136 0.5× 160 1.2× 51 0.5× 52 657
Bachir Bentria Algeria 15 523 1.4× 84 0.3× 282 1.1× 98 0.7× 302 3.2× 31 668
Chunju Hou China 12 303 0.8× 72 0.3× 147 0.6× 58 0.4× 68 0.7× 35 437

Countries citing papers authored by Jochen Rohrer

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Rohrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Rohrer

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Rohrer. A scholar is included among the top collaborators of Jochen Rohrer 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 Jochen Rohrer. Jochen Rohrer 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.
Albe, Karsten, et al.. (2025). Machine-learning interatomic potentials from a users perspective: A comparison of accuracy, speed and data efficiency. Modelling and Simulation in Materials Science and Engineering. 3 indexed citations
2.
Rohrer, Jochen, et al.. (2025). Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations. npj Computational Materials. 11(1). 3 indexed citations
3.
Rohrer, Jochen, et al.. (2024). General purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism. Physical Review Materials. 8(4). 1 indexed citations
4.
Menon, Sarath, Yury Lysogorskiy, Jan Janßen, et al.. (2024). From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows. npj Computational Materials. 10(1). 10 indexed citations
5.
Dashjav, Enkhtsetseg, F. Klein, Daniel Grüner, et al.. (2024). Phase-field determination of NaSICON materials in the quaternary system Na2O-P2O5-SiO2-ZrO2: II. Glass-ceramics and the phantom of excessive vacancy formation. SHILAP Revista de lepidopterología. 4. 100130–100130. 3 indexed citations
6.
Rohrer, Jochen, et al.. (2024). Modelling atomic and nanoscale structure in the silicon–oxygen system through active machine learning. Nature Communications. 15(1). 1927–1927. 42 indexed citations
7.
Rohrer, Jochen, et al.. (2024). Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential. Journal of the American Ceramic Society. 107(10). 6896–6910. 2 indexed citations
8.
Rohrer, Jochen, et al.. (2023). Theoretical study of thermodynamic and magnetic properties of transition metal carbide and nitride MAX phases. Physical Review Materials. 7(4). 5 indexed citations
9.
Rohrer, Jochen & Karsten Albe. (2021). Thermodynamic stability and electronic structure of pristine wurtzite ZnO{0001} inversion domain boundaries. Physical Review Materials. 5(2). 3 indexed citations
10.
Nowroozi, Mohammad Ali, Kerstin Wissel, Sergi Plana‐Ruiz, et al.. (2020). High cycle life all-solid-state fluoride ion battery with La2NiO4+d high voltage cathode. Communications Materials. 1(1). 55 indexed citations
11.
Rohrer, Jochen, et al.. (2018). Structure sensitivity of electronic transport across graphene grain boundaries. Physical review. B.. 98(15). 5 indexed citations
12.
Brink, Tobias, et al.. (2017). Interface-controlled creep in metallic glass composites. Acta Materialia. 141. 251–260. 19 indexed citations
13.
Nowroozi, Mohammad Ali, Kerstin Wissel, Jochen Rohrer, M. Anji Reddy, & Oliver Clemens. (2017). LaSrMnO4: Reversible Electrochemical Intercalation of Fluoride Ions in the Context of Fluoride Ion Batteries. Chemistry of Materials. 29(8). 3441–3453. 122 indexed citations
14.
Nowroozi, Mohammad Ali, Sergei I. Ivlev, Jochen Rohrer, & Oliver Clemens. (2017). La2CoO4: a new intercalation based cathode material for fluoride ion batteries with improved cycling stability. Journal of Materials Chemistry A. 6(11). 4658–4669. 96 indexed citations
15.
Hörmann, Nicolas G., et al.. (2015). Stabilization of the γ-Sn phase in tin nanoparticles and nanowires. Applied Physics Letters. 107(12). 9 indexed citations
16.
Lenchuk, Olena, Jochen Rohrer, & Karsten Albe. (2015). Atomistic modelling of zirconium and silicon segregation at twist and tilt grain boundaries in molybdenum. Journal of Materials Science. 51(4). 1873–1881. 19 indexed citations
17.
Rohrer, Jochen & Per Hyldgaard. (2011). Stacking and band structure of van der Waals bonded graphane multilayers. Physical Review B. 83(16). 42 indexed citations
18.
Rohrer, Jochen & Per Hyldgaard. (2010). Understanding adhesion at as-deposited interfaces fromab initiothermodynamics of deposition growth: thin-film alumina on titanium carbide. Journal of Physics Condensed Matter. 22(47). 472001–472001. 4 indexed citations
19.
Rohrer, Jochen, Carlo Ruberto, & Per Hyldgaard. (2009). Ab initiostructure modelling of complex thin-film oxides: thermodynamical stability of TiC/thin-film alumina. Journal of Physics Condensed Matter. 22(1). 15004–15004. 5 indexed citations
20.
Canovic, S., S. Ruppi, Jochen Rohrer, et al.. (2007). TEM and DFT investigation of CVD TiN/κ–Al2O3 multilayer coatings. Surface and Coatings Technology. 202(3). 522–531. 18 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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