Halim Kusumaatmaja

5.4k total citations · 2 hit papers
73 papers, 4.0k citations indexed

About

Halim Kusumaatmaja is a scholar working on Computational Mechanics, Surfaces, Coatings and Films and Molecular Biology. According to data from OpenAlex, Halim Kusumaatmaja has authored 73 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 24 papers in Surfaces, Coatings and Films and 15 papers in Molecular Biology. Recurrent topics in Halim Kusumaatmaja's work include Surface Modification and Superhydrophobicity (24 papers), Lattice Boltzmann Simulation Studies (20 papers) and Fluid Dynamics and Heat Transfer (19 papers). Halim Kusumaatmaja is often cited by papers focused on Surface Modification and Superhydrophobicity (24 papers), Lattice Boltzmann Simulation Studies (20 papers) and Fluid Dynamics and Heat Transfer (19 papers). Halim Kusumaatmaja collaborates with scholars based in United Kingdom, United States and Germany. Halim Kusumaatmaja's co-authors include Timm Krüger, Orest Shardt, Gonçalo Silva, Erlend Magnus Viggen, Alexandr Kuzmin, Julia M. Yeomans, Ciro Semprebon, Glen McHale, David J. Wales and Cees W. M. Bastiaansen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Halim Kusumaatmaja

71 papers receiving 3.9k citations

Hit Papers

The Lattice Boltzmann Method 2016 2026 2019 2022 2016 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Halim Kusumaatmaja United Kingdom 28 2.4k 1.2k 986 685 421 73 4.0k
Satish Kumar United States 42 2.6k 1.1× 1.3k 1.2× 1.1k 1.1× 1.3k 1.9× 210 0.5× 208 4.8k
Kenneth A. Brakke United States 22 823 0.3× 628 0.5× 548 0.6× 990 1.4× 307 0.7× 76 3.7k
C. Pozrikidis United States 46 3.9k 1.6× 738 0.6× 579 0.6× 1.7k 2.5× 438 1.0× 196 6.8k
Axel Voigt Germany 36 1.8k 0.7× 471 0.4× 471 0.5× 650 0.9× 413 1.0× 208 4.7k
Ralf Seemann Germany 38 2.5k 1.0× 1.7k 1.4× 1.1k 1.1× 2.6k 3.8× 537 1.3× 117 6.4k
L. Gary Leal United States 33 2.7k 1.1× 827 0.7× 534 0.5× 1.9k 2.8× 239 0.6× 94 5.0k
Wolfgang Meier Germany 53 6.5k 2.7× 581 0.5× 219 0.2× 570 0.8× 314 0.7× 233 8.2k
François Gallaire Switzerland 31 2.4k 1.0× 805 0.7× 199 0.2× 1.5k 2.2× 258 0.6× 148 4.0k
James J. Feng Canada 49 5.1k 2.1× 1.6k 1.4× 1.3k 1.3× 2.3k 3.4× 420 1.0× 161 8.9k
Lou Kondic United States 35 2.6k 1.0× 607 0.5× 634 0.6× 653 1.0× 273 0.6× 154 3.6k

Countries citing papers authored by Halim Kusumaatmaja

Since Specialization
Citations

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

Fields of papers citing papers by Halim Kusumaatmaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Halim Kusumaatmaja

This figure shows the co-authorship network connecting the top 25 collaborators of Halim Kusumaatmaja. A scholar is included among the top collaborators of Halim Kusumaatmaja 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 Halim Kusumaatmaja. Halim Kusumaatmaja 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.
Llewellin, Edward W., et al.. (2026). The nucleation and growth of mixed H2O–CO2 bubbles in magmas. Journal of Volcanology and Geothermal Research. 472. 108538–108538.
2.
Basden, Alastair, et al.. (2025). Load balancing for high performance computing using quantum annealing. Physical Review Research. 7(1). 1 indexed citations
3.
Panter, Jack R., et al.. (2025). The diffuse solid method for wetting and multiphase fluid simulations in complex geometries. Physics of Fluids. 37(5).
4.
Naga, Abhinav, et al.. (2024). Direct visualization of viscous dissipation and wetting ridge geometry on lubricant-infused surfaces. Communications Physics. 7(1). 4 indexed citations
5.
Panter, Jack R., Andrew R. Konicek, Mark A. King, et al.. (2023). Rough capillary rise. Communications Physics. 6(1). 13 indexed citations
6.
Turner, Matthew S., et al.. (2023). A bending rigidity parameter for stress granule condensates. Science Advances. 9(20). eadg0432–eadg0432. 25 indexed citations
7.
Jusufi, Arben, et al.. (2023). Phase field simulation of liquid filling on grooved surfaces for complete, partial, and pseudo-partial wetting cases. The Journal of Chemical Physics. 158(20). 5 indexed citations
8.
9.
Semprebon, Ciro, Muhammad Subkhi Sadullah, Glen McHale, & Halim Kusumaatmaja. (2021). Apparent contact angle of drops on liquid infused surfaces: geometric interpretation. Soft Matter. 17(42). 9553–9559. 22 indexed citations
10.
Kusumaatmaja, Halim, et al.. (2021). Control of Superselectivity by Crowding in Three-Dimensional Hosts. Physical Review Letters. 126(2). 28002–28002. 8 indexed citations
11.
Krause, Mathias J., Halim Kusumaatmaja, Davide Dapelo, et al.. (2020). OpenLB—Open source lattice Boltzmann code. Computers & Mathematics with Applications. 81. 258–288. 126 indexed citations
12.
Natarajan, Bharath, Aditya Jaishankar, Mark A. King, et al.. (2020). Predicting Hemiwicking Dynamics on Textured Substrates. Langmuir. 37(1). 188–195. 8 indexed citations
13.
Pearce, Philip, et al.. (2019). Learning dynamical information from static protein and sequencing data. Nature Communications. 10(1). 5368–5368. 12 indexed citations
14.
Chakrabarti, Buddhapriya, et al.. (2018). Dynamic Morphologies and Stability of Droplet Interface Bilayers. Physical Review Letters. 120(23). 238001–238001. 7 indexed citations
15.
Krüger, Timm, Halim Kusumaatmaja, Alexandr Kuzmin, et al.. (2017). The Lattice Boltzmann Method: Principles and Practice. CERN Document Server (European Organization for Nuclear Research). 696 indexed citations breakdown →
16.
Blow, Matthew L., Halim Kusumaatmaja, Ko Hermans, et al.. (2012). Anisotropic wetting and de-wetting of drops on substrates patterned with polygonal posts. Soft Matter. 9(3). 674–683. 36 indexed citations
17.
Kusumaatmaja, Halim, Yanhong Li, Rumiana Dimova, & Reinhard Lipowsky. (2009). Intrinsic Contact Angle of Aqueous Phases at Membranes and Vesicles. Physical Review Letters. 103(23). 238103–238103. 52 indexed citations
18.
Pooley, C. M., Halim Kusumaatmaja, & Julia M. Yeomans. (2008). Contact line dynamics in binary lattice Boltzmann simulations. Physical Review E. 78(5). 56709–56709. 59 indexed citations
19.
Kusumaatmaja, Halim, et al.. (2008). Anisotropic Drop Morphologies on Corrugated Surfaces. Langmuir. 24(14). 7299–7308. 143 indexed citations
20.
Yeomans, Julia M. & Halim Kusumaatmaja. (2007). Modelling drop dynamics on patterned surfaces. Bulletin of the Polish Academy of Sciences Technical Sciences. 55. 203–210. 11 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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