Sandra Breitung‐Faes

1.3k total citations
52 papers, 1.1k citations indexed

About

Sandra Breitung‐Faes is a scholar working on Mechanical Engineering, Water Science and Technology and Computational Mechanics. According to data from OpenAlex, Sandra Breitung‐Faes has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanical Engineering, 22 papers in Water Science and Technology and 17 papers in Computational Mechanics. Recurrent topics in Sandra Breitung‐Faes's work include Mineral Processing and Grinding (36 papers), Minerals Flotation and Separation Techniques (22 papers) and Granular flow and fluidized beds (16 papers). Sandra Breitung‐Faes is often cited by papers focused on Mineral Processing and Grinding (36 papers), Minerals Flotation and Separation Techniques (22 papers) and Granular flow and fluidized beds (16 papers). Sandra Breitung‐Faes collaborates with scholars based in Germany, Finland and Australia. Sandra Breitung‐Faes's co-authors include Arno Kwade, P. Prziwara, Christine Friederike Burmeister, Wolfgang Peukert, Catharina Knieke, Stefan Romeis, Achim Stolle, Robert R. Schmidt, Cornelia Damm and Jan Henrik Finke and has published in prestigious journals such as Chemical Engineering Journal, Chemical Engineering Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Sandra Breitung‐Faes

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandra Breitung‐Faes Germany 20 694 339 331 248 196 52 1.1k
Lian X. Liu Australia 20 507 0.7× 192 0.6× 204 0.6× 493 2.0× 222 1.1× 78 1.3k
Gabrie M.H. Meesters Netherlands 21 360 0.5× 126 0.4× 162 0.5× 560 2.3× 228 1.2× 58 1.2k
Jiahua Zhu China 15 461 0.7× 108 0.3× 352 1.1× 75 0.3× 119 0.6× 31 1.1k
Catharina Knieke Germany 12 311 0.4× 98 0.3× 208 0.6× 71 0.3× 367 1.9× 13 746
Hiroyuki Kage Japan 17 348 0.5× 89 0.3× 216 0.7× 412 1.7× 124 0.6× 80 929
Pierrette Guichardon France 19 183 0.3× 215 0.6× 828 2.5× 237 1.0× 180 0.9× 39 1.1k
Majid Ahmadlouydarab Iran 15 628 0.9× 149 0.4× 345 1.0× 146 0.6× 163 0.8× 41 1.1k
Jafarsadegh Moghaddas Iran 17 174 0.3× 177 0.5× 419 1.3× 167 0.7× 234 1.2× 51 1.0k
Aleš Slíva Czechia 9 217 0.3× 34 0.1× 129 0.4× 130 0.5× 95 0.5× 29 666
R. J. J. Jachuck United Kingdom 18 214 0.3× 186 0.5× 432 1.3× 227 0.9× 210 1.1× 28 966

Countries citing papers authored by Sandra Breitung‐Faes

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Breitung‐Faes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Breitung‐Faes. 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 Sandra Breitung‐Faes. The network helps show where Sandra Breitung‐Faes may publish in the future.

Co-authorship network of co-authors of Sandra Breitung‐Faes

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Breitung‐Faes. A scholar is included among the top collaborators of Sandra Breitung‐Faes 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 Sandra Breitung‐Faes. Sandra Breitung‐Faes 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.
Borchardt, Lars, et al.. (2025). Influence of different stress types on the mechanochemical CaCO3-synthesis. Powder Technology. 466. 121449–121449.
2.
Breitung‐Faes, Sandra, et al.. (2025). Optimizing coal gangue reactivity for geopolymer applications: A comprehensive study on high-energy grinding parameters. Powder Technology. 466. 121441–121441.
3.
Prziwara, P., et al.. (2023). Conceptual stabilizer selection for nanomilling based on dispersibility parameters. Advanced Powder Technology. 34(10). 104197–104197. 2 indexed citations
4.
Breitung‐Faes, Sandra, et al.. (2023). Experimental evaluation of the energy transfer within wet operated stirred media mills. Powder Technology. 425. 118579–118579. 7 indexed citations
5.
Xu, Xiaolu, et al.. (2022). Multicomponent Comminution within a Stirred Media Mill and Its Application for Processing a Lithium-Ion Battery Slurry. Processes. 10(11). 2309–2309. 3 indexed citations
6.
Kwade, Arno, Marcel Möller, Sabrina Zellmer, et al.. (2022). Comminution and Classification as Important Process Steps for the Circular Production of Lithium Batteries. KONA Powder and Particle Journal. 40(0). 50–73. 20 indexed citations
7.
Altun, Okay, P. Prziwara, Sandra Breitung‐Faes, & Arno Kwade. (2021). Impacts of process and design conditions of dry stirred milling on the shape of product size distribution. Minerals Engineering. 163. 106806–106806. 12 indexed citations
8.
Burmeister, Christine Friederike, et al.. (2020). Effect of stressing conditions on mechanochemical Knoevenagel synthesis. Chemical Engineering Journal. 396. 124578–124578. 20 indexed citations
9.
Breitung‐Faes, Sandra & Arno Kwade. (2019). Mill, material, and process parameters – A mechanistic model for the set-up of wet-stirred media milling processes. Advanced Powder Technology. 30(8). 1425–1433. 33 indexed citations
10.
Prziwara, P., et al.. (2018). Impact of grinding aids and process parameters on dry stirred media milling. Powder Technology. 335. 114–123. 43 indexed citations
11.
12.
Breitung‐Faes, Sandra, et al.. (2016). Experimentelle Parameterstudie zur Trockenzerkleinerung in Planetenkugelmühlen. Chemie Ingenieur Technik. 88(10). 1524–1529. 6 indexed citations
13.
Ohenoja, Katja, Juha Saari, Mirja Illikainen, et al.. (2014). Effect of Polydispersity Index on the Grinding Limits of Highly Concentrated Limestone Suspensions. Chemical Engineering & Technology. 37(5). 833–839. 3 indexed citations
14.
Ohenoja, Katja, Sandra Breitung‐Faes, Päivö Kinnunen, et al.. (2014). Ultrafine Grinding of Limestone with Sodium Polyacrylates as Additives in Ordinary Portland Cement Mortar. Chemical Engineering & Technology. 37(5). 787–794. 5 indexed citations
15.
Breitung‐Faes, Sandra & Arno Kwade. (2013). Prediction of energy effective grinding conditions. Minerals Engineering. 43-44. 36–43. 35 indexed citations
16.
Breitung‐Faes, Sandra & Arno Kwade. (2011). Production of transparent suspensions by real grinding of fused corundum. Powder Technology. 212(3). 383–389. 31 indexed citations
17.
Damm, Cornelia, et al.. (2011). Polymeric stabilization of fused corundum during nanogrinding in stirred media mills. Powder Technology. 217. 315–324. 5 indexed citations
18.
Breitung‐Faes, Sandra & Arno Kwade. (2009). Produktgestaltung bei der Nanozerkleinerung durch Einsatz kleinster Mahlkörper. Chemie Ingenieur Technik. 81(6). 767–774. 14 indexed citations
19.
Breitung‐Faes, Sandra & Arno Kwade. (2007). Einsatz unterschiedlicher Rührwerkskugelmühlen für die Erzeugung von Nanopartikeln. Chemie Ingenieur Technik. 79(3). 241–248. 10 indexed citations
20.
Breitung‐Faes, Sandra & Arno Kwade. (2006). Mahlkörpereinfluss bei der Nanozerkleinerung in Rührwerkskugelmühlen. Chemie Ingenieur Technik. 78(9). 1339–1339. 3 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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