James V. Scicolone

35 total papers · 682 total citations
28 papers, 547 citations indexed

About

James V. Scicolone is a scholar working on Mechanical Engineering, Computational Mechanics and Pharmaceutical Science. According to data from OpenAlex, James V. Scicolone has authored 28 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 11 papers in Computational Mechanics and 8 papers in Pharmaceutical Science. Recurrent topics in James V. Scicolone's work include Granular flow and fluidized beds (11 papers), Mineral Processing and Grinding (10 papers) and Drug Solubulity and Delivery Systems (8 papers). James V. Scicolone is often cited by papers focused on Granular flow and fluidized beds (11 papers), Mineral Processing and Grinding (10 papers) and Drug Solubulity and Delivery Systems (8 papers). James V. Scicolone collaborates with scholars based in United States, Belgium and Puerto Rico. James V. Scicolone's co-authors include Rajesh N. Davé, Zhonghui Huang, Fernando J. Muzzio, Xi Han, Xiaoliang Deng, Andrés D. Román-Ospino, Rodolfo J. Romañach, Rafael Méndez, Marianthi Ierapetritou and Sara Moghtadernejad and has published in prestigious journals such as Polymer, Journal of Materials Science and International Journal of Pharmaceutics.

In The Last Decade

James V. Scicolone

28 papers receiving 541 citations

Author Peers

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

Author Last Decade Papers Cites
James V. Scicolone 224 209 177 98 82 28 547
Juan G. Osorio 197 0.9× 158 0.8× 132 0.7× 100 1.0× 59 0.7× 14 494
Daniel O. Blackwood 169 0.8× 161 0.8× 130 0.7× 54 0.6× 120 1.5× 15 464
Poul Bertelsen 146 0.7× 140 0.7× 193 1.1× 46 0.5× 132 1.6× 20 476
Maunu Toiviainen 203 0.9× 195 0.9× 176 1.0× 58 0.6× 126 1.5× 20 520
D. Train 87 0.4× 171 0.8× 182 1.0× 95 1.0× 62 0.8× 25 493
Sarang Oka 257 1.1× 186 0.9× 184 1.0× 85 0.9× 39 0.5× 20 466
M. Sebastian Escotet‐Espinoza 155 0.7× 193 0.9× 106 0.6× 46 0.5× 61 0.7× 17 455
Jon Hilden 83 0.4× 164 0.8× 132 0.7× 118 1.2× 38 0.5× 30 472
Patrick Wahl 86 0.4× 130 0.6× 130 0.7× 96 1.0× 210 2.6× 23 566
Pirjo Tajarobi 156 0.7× 216 1.0× 283 1.6× 79 0.8× 95 1.2× 26 533

Countries citing papers authored by James V. Scicolone

Since Specialization
Citations

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

Fields of papers citing papers by James V. Scicolone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Scicolone. 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 James V. Scicolone. The network helps show where James V. Scicolone may publish in the future.

Co-authorship network of co-authors of James V. Scicolone

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

All Works

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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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