Donald P. Visco
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Molecular Biology
- Biomedical Engineering top 10%
- Organic Chemistry
- Co-authors
- Jean‐Loup FaulonRamdas S. PophaleDavid A. KofkeJoseph J. BiernackiPravin KannanJonathan J. ChenMark Daniel RintoulDavid M. Bastidas
- Topics
- Computational Drug Discovery Methods (17 papers)Phase Equilibria and Thermodynamics (17 papers)Engineering Education and Curriculum Development (12 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Donald P. Visco
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 436
- Materials Chemistry 346
- Molecular Biology 288
- Biomedical Engineering 282
- Organic Chemistry 145
Countries citing papers authored by Donald P. Visco
This map shows the geographic impact of Donald P. Visco'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 Donald P. Visco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald P. Visco more than expected).
Fields of papers citing papers by Donald P. Visco
This network shows the impact of papers produced by Donald P. Visco. 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 Donald P. Visco. The network helps show where Donald P. Visco may publish in the future.
Co-authorship network of co-authors of Donald P. Visco
This figure shows the co-authorship network connecting the top 25 collaborators of Donald P. Visco. A scholar is included among the top collaborators of Donald P. Visco 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 Donald P. Visco. Donald P. Visco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 24 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Ideas to Consider for New Chemical Engineering Educators: Part 1 (Courses Offered Earlier in the Curriculum). | 5 |
| 10 | 39 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | 97 | |
| 16 | 46 | |
| 17 | 63 | |
| 18 | 8 | |
| 19 | 22 | |
| 20 | 23 |
About Donald P. Visco
Donald P. Visco is a scholar working on Architecture, Media Technology and Fluid Flow and Transfer Processes, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Phase Equilibria and Thermodynamics (17 papers) and Engineering Education and Curriculum Development (12 papers). The work is most often cited by research in Computational Theory and Mathematics (436 citations), Fluid Flow and Transfer Processes (114 citations) and Architecture (23 citations). Donald P. Visco has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jean‐Loup Faulon, Ramdas S. Pophale, David A. Kofke, Joseph J. Biernacki, Pravin Kannan, Jonathan J. Chen, Mark Daniel Rintoul, David M. Bastidas, Ahmed Yousef Mohamed and Surajit Sen. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and The Journal of Physical Chemistry B.
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.