Milan Brandt

22.6k total citations · 11 hit papers
345 papers, 17.6k citations indexed

About

Milan Brandt is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Milan Brandt has authored 345 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 281 papers in Mechanical Engineering, 125 papers in Automotive Engineering and 78 papers in Materials Chemistry. Recurrent topics in Milan Brandt's work include Additive Manufacturing Materials and Processes (179 papers), Additive Manufacturing and 3D Printing Technologies (125 papers) and High Entropy Alloys Studies (86 papers). Milan Brandt is often cited by papers focused on Additive Manufacturing Materials and Processes (179 papers), Additive Manufacturing and 3D Printing Technologies (125 papers) and High Entropy Alloys Studies (86 papers). Milan Brandt collaborates with scholars based in Australia, United States and China. Milan Brandt's co-authors include Ma Qian, Martin Leary, Shoujin Sun, Wei Xu, Matthew S. Dargusch, Peter Choong, Joe Elambasseril, Maciej Mazur, Mark Easton and Bill Lozanovski and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Milan Brandt

331 papers receiving 17.0k citations

Hit Papers

Topological design and ad... 2009 2026 2014 2020 2016 2019 2014 2020 2016 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Milan Brandt 13.9k 7.7k 4.2k 3.8k 1.6k 345 17.6k
Yusheng Shi 16.1k 1.2× 11.3k 1.5× 4.3k 1.0× 5.2k 1.4× 1.3k 0.8× 491 22.9k
Martin Leary 8.8k 0.6× 5.9k 0.8× 4.2k 1.0× 3.1k 0.8× 963 0.6× 166 13.8k
Dongdong Gu 17.8k 1.3× 11.0k 1.4× 3.5k 0.8× 1.4k 0.4× 1.4k 0.9× 285 19.7k
Carolin Körner 9.7k 0.7× 5.4k 0.7× 2.7k 0.6× 2.0k 0.5× 854 0.5× 283 12.6k
Ian Ashcroft 10.4k 0.7× 7.6k 1.0× 1.4k 0.3× 1.5k 0.4× 2.8k 1.8× 226 14.6k
Konrad Wegener 10.5k 0.8× 3.8k 0.5× 1.4k 0.3× 4.2k 1.1× 1.1k 0.7× 535 13.3k
Brent Stucker 10.0k 0.7× 9.2k 1.2× 1.8k 0.4× 2.3k 0.6× 690 0.4× 115 14.1k
Ma Qian 18.0k 1.3× 6.4k 0.8× 9.8k 2.3× 3.4k 0.9× 2.0k 1.3× 537 24.4k
Ryan B. Wicker 9.4k 0.7× 10.4k 1.3× 2.5k 0.6× 5.4k 1.4× 650 0.4× 269 17.1k
Chunze Yan 8.9k 0.6× 6.7k 0.9× 2.2k 0.5× 3.2k 0.8× 711 0.5× 185 12.2k

Countries citing papers authored by Milan Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Milan Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Brandt

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Brandt. A scholar is included among the top collaborators of Milan Brandt 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 Milan Brandt. Milan Brandt 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.
Lu, Shenglu, Tingting Song, Alexander E. Medvedev, et al.. (2025). Characterizing α-phase variants in titanium alloys via EBSD: Understanding colour indexing challenges. Micron. 198. 103893–103893.
2.
Noronha, Jordan, et al.. (2024). Titanium Multi‐Topology Metamaterials with Exceptional Strength (Adv. Mater. 34/2024). Advanced Materials. 36(34).
3.
Elambasseril, Joe, et al.. (2024). Spray Fluidized Bed Assisted Flexible Robust Lightweight Hollow Metallic Sphere Based Triboelectric Nanogenerator. ACS Applied Electronic Materials. 6(9). 6543–6553.
4.
Noronha, Jordan, Martin Leary, Milan Brandt, & Ma Qian. (2024). AlSi10Mg hollow-strut lattice metamaterials by laser powder bed fusion. Materials Advances. 5(9). 3751–3770. 17 indexed citations
5.
Brandt, Milan, et al.. (2024). Defect detection by multi-axis infrared process monitoring of laser beam directed energy deposition. Scientific Reports. 14(1). 3861–3861. 10 indexed citations
6.
MacDonald, Eric, et al.. (2024). Multi Jet Fusion (MJF) of polymeric components: A review of process, properties and opportunities. Additive manufacturing. 91. 104331–104331. 15 indexed citations
7.
Leary, Martin, et al.. (2023). Generative design of space frames for additive manufacturing technology. The International Journal of Advanced Manufacturing Technology. 127(9-10). 4619–4639. 12 indexed citations
8.
Khorasani, Mahyar, Martin Leary, David Downing, et al.. (2023). Numerical and experimental investigations on manufacturability of Al–Si–10Mg thin wall structures made by LB-PBF. Thin-Walled Structures. 188. 110814–110814. 18 indexed citations
9.
Noronha, Jordan, J. G. Dash, Martin Leary, et al.. (2023). Node-reinforced hollow-strut metal lattice materials for higher strength. Scripta Materialia. 234. 115547–115547. 33 indexed citations
10.
Barr, Cameron, Rizwan Abdul Rahman Rashid, Suresh Palanisamy, Neil Matthews, & Milan Brandt. (2023). Effect of oxygen shielding on the tensile and fatigue performance of 300M repaired through laser-directed energy deposition. The Aeronautical Journal. 127(1318). 2118–2124. 1 indexed citations
11.
Lu, Shenglu, Dandan Han, Tingting Song, et al.. (2023). Massive transformations in titanium alloys: Role of relative orientation of adjacent parent grains. Scripta Materialia. 239. 115776–115776. 9 indexed citations
12.
Mazur, Maciej, Jim Patel, Milinkumar T. Shah, et al.. (2022). Numerical evaluation of an additively manufactured uniform fractal flow mixer. Chemical Engineering and Processing - Process Intensification. 179. 109047–109047. 2 indexed citations
13.
Downing, David, Matthew McMillan, Milan Brandt, & Martin Leary. (2022). Programmatic lattice generation tools for additive manufacture. Software Impacts. 12. 100262–100262. 4 indexed citations
14.
Williamson, Tom, et al.. (2021). Automated resection planning for bone tumor surgery. Computers in Biology and Medicine. 137. 104777–104777. 12 indexed citations
15.
Barr, Cameron, et al.. (2020). Influence of fill thickness on tensile perfomance of 300M high strength steel following laser metal deposition repair. Journal of Laser Applications. 32(2). 1 indexed citations
16.
Todaro, C.J., Mark Easton, Dong Qiu, et al.. (2020). Grain structure control during metal 3D printing by high-intensity ultrasound. Nature Communications. 11(1). 142–142. 615 indexed citations breakdown →
17.
Fox, Kate, Aaqil Rifai, Philipp Reineck, et al.. (2019). 3D-Printed Diamond–Titanium Composite: A Hybrid Material for Implant Engineering. ACS Applied Bio Materials. 3(1). 29–36. 21 indexed citations
18.
Barr, Cameron, et al.. (2018). Influence of macrosegregation on solidification cracking in laser clad ultra-high strength steels. Surface and Coatings Technology. 340. 126–136. 70 indexed citations
19.
Sarker, Avik, Nhiem Tran, Aaqil Rifai, et al.. (2018). Angle defines attachment: Switching the biological response to titanium interfaces by modifying the inclination angle during selective laser melting. Materials & Design. 154. 326–339. 52 indexed citations
20.
Rahim, Mohammad Zulafif, et al.. (2017). Electrical Discharge Grinding of Polycrystalline Diamond - Material Erosion Rate. RMIT Research Repository (RMIT University Library). 2 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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