Ariel R. Muliadi

551 total citations
20 papers, 439 citations indexed

About

Ariel R. Muliadi is a scholar working on Computational Mechanics, Mechanical Engineering and Plant Science. According to data from OpenAlex, Ariel R. Muliadi has authored 20 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Mechanical Engineering and 7 papers in Plant Science. Recurrent topics in Ariel R. Muliadi's work include Plant Surface Properties and Treatments (7 papers), Granular flow and fluidized beds (7 papers) and Mineral Processing and Grinding (5 papers). Ariel R. Muliadi is often cited by papers focused on Plant Surface Properties and Treatments (7 papers), Granular flow and fluidized beds (7 papers) and Mineral Processing and Grinding (5 papers). Ariel R. Muliadi collaborates with scholars based in United States, France and United Kingdom. Ariel R. Muliadi's co-authors include James D. Litster, Zheng Ouyang, R. Graham Cooks, Carl Wassgren, Paul E. Sojka, Karthik Nagapudi, Rodolfo J. Romañach, Arun Giridhar, David Acevedo and Joseph W. Lubach and has published in prestigious journals such as International Journal of Pharmaceutics, AIChE Journal and Journal of Pharmaceutical Sciences.

In The Last Decade

Ariel R. Muliadi

20 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel R. Muliadi United States 10 145 129 112 98 87 20 439
F. Lebœuf France 8 89 0.6× 78 0.6× 131 1.2× 114 1.2× 119 1.4× 23 391
Osama Sudah United States 12 55 0.4× 192 1.5× 309 2.8× 65 0.7× 67 0.8× 15 493
Dolapo Olusanmi United Kingdom 11 90 0.6× 54 0.4× 47 0.4× 130 1.3× 45 0.5× 12 335
Otto Scheibelhofer Austria 11 50 0.3× 66 0.5× 40 0.4× 75 0.8× 104 1.2× 26 391
Catherine Boissier Sweden 11 57 0.4× 40 0.3× 64 0.6× 158 1.6× 73 0.8× 21 379
Patrick Wahl Austria 15 44 0.3× 131 1.0× 87 0.8× 131 1.3× 133 1.5× 23 571
Juan G. Osorio United States 12 26 0.2× 159 1.2× 198 1.8× 132 1.3× 125 1.4× 14 497
David R. Rudd United Kingdom 8 124 0.9× 117 0.9× 113 1.0× 66 0.7× 164 1.9× 8 498
Shaun Fitzpatrick United Kingdom 10 40 0.3× 114 0.9× 67 0.6× 193 2.0× 39 0.4× 17 435
Sami Poutiainen Finland 11 27 0.2× 124 1.0× 91 0.8× 90 0.9× 50 0.6× 12 351

Countries citing papers authored by Ariel R. Muliadi

Since Specialization
Citations

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

Fields of papers citing papers by Ariel R. Muliadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel R. Muliadi. 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 Ariel R. Muliadi. The network helps show where Ariel R. Muliadi may publish in the future.

Co-authorship network of co-authors of Ariel R. Muliadi

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel R. Muliadi. A scholar is included among the top collaborators of Ariel R. Muliadi 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 Ariel R. Muliadi. Ariel R. Muliadi 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.
Mazel, Vincent, et al.. (2024). The effect of unloading and ejection conditions on the properties of pharmaceutical tablets. International Journal of Pharmaceutics. 658. 124150–124150. 1 indexed citations
2.
Ismail, Omar H., Chao Zheng, Thomas W. Chamberlain, et al.. (2024). An experimental study on flow behaviour of pharmaceutical powders during suction filling. International Journal of Pharmaceutics. 662. 124527–124527. 1 indexed citations
3.
4.
Zheng, Chao, et al.. (2023). DEM analysis of the influence of stirrer design on die filling with forced powder feeding. Particuology. 88. 107–115. 4 indexed citations
5.
6.
Bharadwaj, Rahul, et al.. (2022). Capsule-Based dry powder inhaler evaluation using CFD-DEM simulations and next generation impactor data. European Journal of Pharmaceutical Sciences. 175. 106226–106226. 11 indexed citations
7.
Zheng, Chao, et al.. (2022). Numerical analysis of die filling with a forced feeder using GPU-enhanced discrete element methods. International Journal of Pharmaceutics. 622. 121861–121861. 6 indexed citations
8.
Muliadi, Ariel R., et al.. (2021). Simplifying Johanson’s roller compaction model to build a “Virtual Roller Compactor” as a predictive tool – Theory and practical application. International Journal of Pharmaceutics. 601. 120579–120579. 11 indexed citations
9.
Hou, Hao, Keyur M. Pandya, Joseph W. Lubach, et al.. (2018). Impact of Method of Preparation of Amorphous Solid Dispersions on Mechanical Properties: Comparison of Coprecipitation and Spray Drying. Journal of Pharmaceutical Sciences. 108(2). 870–879. 50 indexed citations
10.
Sivathanu, Yudaya, et al.. (2018). Estimating velocity in Gasoline Direct Injection sprays using statistical pattern imaging velocimetry. International Journal of Spray and Combustion Dynamics. 11. 4 indexed citations
11.
Barrasso, Dana, Sarang Oka, Ariel R. Muliadi, et al.. (2013). Population Balance Model Validation and Predictionof CQAs for Continuous Milling Processes: toward QbDin Pharmaceutical Drug Product Manufacturing. Journal of Pharmaceutical Innovation. 8(3). 147–162. 32 indexed citations
12.
Muliadi, Ariel R., James D. Litster, & Carl Wassgren. (2012). Validation of 3-D finite element analysis for predicting the density distribution of roll compacted pharmaceutical powder. Powder Technology. 237. 386–399. 37 indexed citations
13.
Muliadi, Ariel R. & Paul E. Sojka. (2012). Nondimensional Scaling Laws for Controlling Pharmaceutical Spray Uniformity: Understanding and Scale-Up. Journal of Pharmaceutical Sciences. 101(6). 2213–2219. 2 indexed citations
14.
Acevedo, David, Ariel R. Muliadi, Arun Giridhar, James D. Litster, & Rodolfo J. Romañach. (2012). Evaluation of Three Approaches for Real-Time Monitoring of Roller Compaction with Near-Infrared Spectroscopy. AAPS PharmSciTech. 13(3). 1005–1012. 36 indexed citations
15.
Muliadi, Ariel R., et al.. (2012). Spray mechanism in paper spray ionization. International Journal of Mass Spectrometry. 325-327. 167–171. 147 indexed citations
16.
Muliadi, Ariel R. & Paul E. Sojka. (2011). Spatially resolved characteristics of pharmaceutical sprays. AIChE Journal. 58(9). 2920–2935. 7 indexed citations
17.
Muliadi, Ariel R., James D. Litster, & Carl Wassgren. (2011). Modeling the powder roll compaction process: Comparison of 2-D finite element method and the rolling theory for granular solids (Johanson's model). Powder Technology. 221. 90–100. 44 indexed citations
18.
Muliadi, Ariel R. & Paul E. Sojka. (2010). A REVIEW OF PHARMACEUTICAL TABLET SPRAY COATING. Atomization and Sprays. 20(7). 611–638. 13 indexed citations
19.
Muliadi, Ariel R., et al.. (2010). A Comparison of Phase Doppler Analyzer (Dual-PDA) and Optical Patternator Data for Twin-Fluid and Pressure-Swirl Atomizer Sprays. Journal of Fluids Engineering. 132(6). 9 indexed citations
20.
Muliadi, Ariel R., et al.. (2007). Comparison of Particle Dynamics Analyzer (PDA) and SetScan Optical Patternator Results. 847–858. 1 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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