Patrick M. Piccione

1.7k total citations
32 papers, 1.3k citations indexed

About

Patrick M. Piccione is a scholar working on Materials Chemistry, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Patrick M. Piccione has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 9 papers in Computational Mechanics and 8 papers in Mechanical Engineering. Recurrent topics in Patrick M. Piccione's work include Granular flow and fluidized beds (9 papers), Carbon Nanotubes in Composites (4 papers) and Zeolite Catalysis and Synthesis (4 papers). Patrick M. Piccione is often cited by papers focused on Granular flow and fluidized beds (9 papers), Carbon Nanotubes in Composites (4 papers) and Zeolite Catalysis and Synthesis (4 papers). Patrick M. Piccione collaborates with scholars based in United Kingdom, Switzerland and United States. Patrick M. Piccione's co-authors include Mark E. Davis, Alexandra Navrotsky, Cécile Zakri, Philippe Poulin, Sanyuan Yang, Pierre Miaudet, Maryse Maugey, Alain Derré, Miguel Á. Camblor and Christel Laberty and has published in prestigious journals such as Science, The Journal of Physical Chemistry B and Nature Chemistry.

In The Last Decade

Patrick M. Piccione

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick M. Piccione United Kingdom	15	597	364	333	249	241	32	1.3k
Muhammad Tayyab China	25	1.1k 1.8×	189 0.5×	199 0.6×	305 1.2×	194 0.8×	90	2.4k
J.T.F. Keurentjes Netherlands	25	437 0.7×	156 0.4×	123 0.4×	713 2.9×	636 2.6×	68	1.7k
Mengyao Hu China	19	897 1.5×	391 1.1×	337 1.0×	489 2.0×	114 0.5×	25	2.0k
Tian Zhao China	27	757 1.3×	73 0.2×	598 1.8×	309 1.2×	709 2.9×	125	2.2k
Chongxiong Duan China	27	1.2k 2.0×	177 0.5×	1.3k 3.8×	303 1.2×	482 2.0×	71	2.5k
Kyu Yong Choi United States	27	449 0.8×	514 1.4×	127 0.4×	371 1.5×	208 0.9×	125	1.9k

Countries citing papers authored by Patrick M. Piccione

Since Specialization

Citations

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

Fields of papers citing papers by Patrick M. Piccione

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick M. Piccione. 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 Patrick M. Piccione. The network helps show where Patrick M. Piccione may publish in the future.

Co-authorship network of co-authors of Patrick M. Piccione

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

All Works

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20 of 20 papers shown

Piccione, Patrick M., et al.. (2025). An experimental study of the mixing characteristics of viscoplastic fluids in dual-impeller agitation systems. Process Safety and Environmental Protection. 216. 216–229.

Jolliffe, Hikaru G., Ian Houson, Gavin Reynolds, et al.. (2022). Linked experimental and modelling approaches for tablet property predictions. International Journal of Pharmaceutics. 626. 122116–122116. 7 indexed citations

Beretta, Michela, Julia Kruisz, F. J. Stauffer, et al.. (2022). Predicting powder feedability: A workflow for assessing the risk of flow stagnation and defining the operating space for different powder-feeder combinations. International Journal of Pharmaceutics. 629. 122364–122364. 10 indexed citations

Piccione, Patrick M.. (2021). Realistic interplays between data science and chemical engineering in the first quarter of the 21st century, part 2: Dos and don’ts. Process Safety and Environmental Protection. 169. 308–318. 4 indexed citations

Liang, Xiaodong, et al.. (2020). Group Contribution Method to Estimate the Biodegradability of Organic Compounds. Industrial & Engineering Chemistry Research. 59(47). 20916–20928. 12 indexed citations

Piccione, Patrick M.. (2020). Systematizing scientific laboratory work by a workflow and template for electronic laboratory notebooks. Education for Chemical Engineers. 31. 42–53. 4 indexed citations

Zhu, Yanbin, et al.. (2019). Continent-wide planning of seed production: mathematical model and industrial application. Optimization and Engineering. 20(3). 881–906. 5 indexed citations

Piccione, Patrick M.. (2019). Realistic interplays between data science and chemical engineering in the first quarter of the 21st century: Facts and a vision. Process Safety and Environmental Protection. 147. 668–675. 14 indexed citations

Piccione, Patrick M., et al.. (2019). Solvent Selection Methods and Tool. Organic Process Research & Development. 23(5). 998–1016. 28 indexed citations

10.

Zheng, Alex, et al.. (2019). Investigating particle-level dynamics to understand bulk behavior in a lab-scale Agitated Filter Dryer (AFD) using Discrete Element Method (DEM). Advanced Powder Technology. 31(1). 477–492. 3 indexed citations

11.

Piccione, Patrick M., et al.. (2018). Traveling Traders’ Exchange Problem: Stochastic Modeling Framework and Two-Layer Model Identification Strategy. Industrial & Engineering Chemistry Research. 57(30). 10011–10025. 2 indexed citations

12.

Pasha, Mehrdad, et al.. (2017). Inter-particle coating variability in a rotary batch seed coater. Process Safety and Environmental Protection. 120. 92–101. 18 indexed citations

13.

Piccione, Patrick M., et al.. (2017). Direct Visualization of Scale-Up Effects on the Mass Transfer Coefficient through the “Blue Bottle” Reaction. Journal of Chemical Education. 94(6). 726–729. 6 indexed citations

14.

Piccione, Patrick M., et al.. (2016). Dynamic agglomeration profiling during the drying phase in an agitated filter dyer: Parametric investigation and regime map studies. Powder Technology. 303. 109–123. 9 indexed citations

15.

Adjiman, Claire S., et al.. (2016). Development of Predictive Models of the Kinetics of a Hydrogen Abstraction Reaction Combining Quantum-Mechanical Calculations and Experimental Data. Industrial & Engineering Chemistry Research. 56(4). 815–831. 7 indexed citations

16.

Karamertzanis, P.G., Peter Haycock, Patrick M. Piccione, et al.. (2013). Computer-aided molecular design of solvents for accelerated reaction kinetics. Nature Chemistry. 5(11). 952–957. 135 indexed citations

17.

Piccione, Patrick M., et al.. (2009). Influence of the spinning conditions on the structure and properties of polyamide 12/carbon nanotube composite fibers. Journal of Applied Polymer Science. 114(6). 3515–3523. 21 indexed citations

18.

Bounia, Nour‐Eddine El & Patrick M. Piccione. (2008). Rheological and Electrical Properties of PVDF Composites Based on Carbon Black and Carbon Nanotubes Synergy. Journal of Polymer Engineering. 28(3). 6 indexed citations

19.

Piccione, Patrick M., Sanyuan Yang, Alexandra Navrotsky, & Mark E. Davis. (2002). Thermodynamics of Pure-Silica Molecular Sieve Synthesis. The Journal of Physical Chemistry B. 106(14). 3629–3638. 81 indexed citations

20.

Piccione, Patrick M., Christel Laberty, Sanyuan Yang, et al.. (2000). Thermochemistry of Pure-Silica Zeolites. The Journal of Physical Chemistry B. 104(43). 10001–10011. 181 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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