Alfred Berchielli

447 total citations
10 papers, 319 citations indexed

About

Alfred Berchielli is a scholar working on Pharmaceutical Science, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Alfred Berchielli has authored 10 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmaceutical Science, 5 papers in Biomedical Engineering and 3 papers in Computational Mechanics. Recurrent topics in Alfred Berchielli's work include Drug Solubulity and Delivery Systems (5 papers), Adsorption, diffusion, and thermodynamic properties of materials (2 papers) and Injection Molding Process and Properties (2 papers). Alfred Berchielli is often cited by papers focused on Drug Solubulity and Delivery Systems (5 papers), Adsorption, diffusion, and thermodynamic properties of materials (2 papers) and Injection Molding Process and Properties (2 papers). Alfred Berchielli collaborates with scholars based in United States and India. Alfred Berchielli's co-authors include Alberto Aliseda, E. J. Hopfinger, Juan C. Lasheras, Mary T. am Ende, Avinash G. Thombre, Mahesh S. Tirumkudulu, Pankaj Doshi, Weili Yu, Daniel O. Blackwood and Peiyuan Liu and has published in prestigious journals such as Advances in Colloid and Interface Science, International Journal of Pharmaceutics and Drug Discovery Today.

In The Last Decade

Alfred Berchielli

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alfred Berchielli United States	5	225	99	70	68	60	10	319
Poul Bach Denmark	11	336 1.5×	97 1.0×	87 1.2×	43 0.6×	43 0.7×	20	509
Alfred Jongsma Netherlands	11	432 1.9×	153 1.5×	75 1.1×	55 0.8×	174 2.9×	20	514
Qiaoyan Ye Germany	9	238 1.1×	290 2.9×	13 0.2×	114 1.7×	51 0.8×	23	395
S. De Netherlands	9	204 0.9×	35 0.4×	75 1.1×	13 0.2×	112 1.9×	15	340
Gheorghe Juncu Romania	10	218 1.0×	30 0.3×	116 1.7×	12 0.2×	32 0.5×	34	353
Prashant R. Gunjal India	7	441 2.0×	47 0.5×	118 1.7×	29 0.4×	58 1.0×	7	516
L. Gaete-Garretón Chile	10	46 0.2×	82 0.8×	121 1.7×	18 0.3×	12 0.2×	22	311
P.K. Chan Singapore	7	259 1.2×	110 1.1×	19 0.3×	22 0.3×	12 0.2×	9	349
Yu-hang Peng China	8	162 0.7×	140 1.4×	33 0.5×	24 0.4×	12 0.2×	10	393
P. Schümmer Germany	9	111 0.5×	36 0.4×	64 0.9×	12 0.2×	23 0.4×	34	330

Countries citing papers authored by Alfred Berchielli

Since Specialization

Citations

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

Fields of papers citing papers by Alfred Berchielli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfred Berchielli

This figure shows the co-authorship network connecting the top 25 collaborators of Alfred Berchielli. A scholar is included among the top collaborators of Alfred Berchielli 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 Alfred Berchielli. Alfred Berchielli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Liu, Peiyuan, et al.. (2024). Prediction of the finished tablet coating variability in pan coaters by coupling CFD-DEM and Monte Carlo simulations: Method development and validation. Powder Technology. 445. 120141–120141. 3 indexed citations

Tirumkudulu, Mahesh S., et al.. (2023). A model to predict drug release from a single-layer osmotic controlled-release tablet. Journal of Drug Delivery Science and Technology. 80. 104138–104138. 3 indexed citations

Tirumkudulu, Mahesh S., et al.. (2022). Experimental Evaluation of the Impact of Rapid Environmental Changes on Stress Distribution in Tablet Coatings. AAPS PharmSciTech. 24(1). 30–30. 2 indexed citations

Tirumkudulu, Mahesh S., et al.. (2022). Osmotic tablet coatings: Drying stress, mechanical properties and microstructure. International Journal of Pharmaceutics. 617. 121611–121611. 3 indexed citations

Tirumkudulu, Mahesh S., et al.. (2022). Impact of Rapid Environmental Changes on Stress Distribution in Tablet Coatings: Simulations. AAPS PharmSciTech. 24(1). 24–24. 1 indexed citations

Thombre, Avinash G., et al.. (2014). Extemporaneously prepared controlled release formulations for accelerating the early phase development of drug candidates. Drug Discovery Today. 19(5). 694–700. 10 indexed citations

Berchielli, Alfred, et al.. (2010). Impact of a heterogeneous liquid droplet on a dry surface: Application to the pharmaceutical industry. Advances in Colloid and Interface Science. 159(2). 144–159. 98 indexed citations

Aliseda, Alberto, et al.. (2007). Atomization of viscous and non-newtonian liquids by a coaxial, high-speed gas jet. Experiments and droplet size modeling. International Journal of Multiphase Flow. 34(2). 161–175. 152 indexed citations

Ende, Mary T. am & Alfred Berchielli. (2005). A Thermodynamic Model for Organic and Aqueous Tablet Film Coating. Pharmaceutical Development and Technology. 10(1). 47–58. 37 indexed citations

10.

Ende, Mary T. am & Alfred Berchielli. (2005). A Thermodynamic Model for Organic and Aqueous Tablet Film Coating. Pharmaceutical Development and Technology. 10(1). 47–58. 10 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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