James V. Scicolone
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Pharmaceutical Science top 2%
- Materials Chemistry
- Analytical Chemistry top 5%
- Co-authors
- Rajesh N. DavéZhonghui HuangFernando J. MuzzioXi HanXiaoliang DengAndrés D. Román-OspinoRodolfo J. RomañachRafael Méndez
- Topics
- Granular flow and fluidized beds (11 papers)Mineral Processing and Grinding (10 papers)Drug Solubulity and Delivery Systems (8 papers)
- Partner nations
- United StatesBelgiumPuerto Rico
In The Last Decade
James V. Scicolone
28 papers receiving 543 citations
Peers
Comparison fields: 5 of 73
- Computational Mechanics 224
- Mechanical Engineering 210
- Pharmaceutical Science 177
- Materials Chemistry 98
- Analytical Chemistry 82
Countries citing papers authored by James V. Scicolone
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 24 | |
| 8 | 8 | |
| 9 | 58 | |
| 10 | 10 | |
| 11 | 17 | |
| 12 | 14 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 76 | |
| 16 | 35 | |
| 17 | 70 | |
| 18 | 21 | |
| 19 | Fluidized bed mixing of nanosized particles | 1 |
| 20 | 16 |
About James V. Scicolone
James V. Scicolone is a scholar working on Pharmaceutical Science, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 28 papers that have together received 549 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (11 papers), Mineral Processing and Grinding (10 papers) and Drug Solubulity and Delivery Systems (8 papers). The work is most often cited by research in Pharmaceutical Science (177 citations), Computational Mechanics (224 citations) and Analytical Chemistry (82 citations). James V. Scicolone has collaborated with scholars based in United States, Belgium and Puerto Rico. Frequent 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. Their work appears in journals such as Polymer, Journal of Materials Science and International Journal of Pharmaceutics.
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.