James L. McDonagh
- Materials Chemistry top 10%
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Physical and Theoretical Chemistry top 5%
- Co-authors
- John B. O. MitchellTanja van MourikColin R. GroomR. SkynerMark A. VincentPaul L. A. PopelierDavid Scott PalmerArnaldo F. Silva
- Topics
- Machine Learning in Materials Science (8 papers)Computational Drug Discovery Methods (6 papers)Advanced Chemical Physics Studies (5 papers)
- Cited by
- Physical and Theoretical ChemistryComputational Theory and MathematicsFiltration and Separation
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
James L. McDonagh
24 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Materials Chemistry 415
- Organic Chemistry 248
- Computational Theory and Mathematics 214
- Atomic and Molecular Physics, and Optics 185
- Physical and Theoretical Chemistry 169
Countries citing papers authored by James L. McDonagh
This map shows the geographic impact of James L. McDonagh'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 L. McDonagh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. McDonagh more than expected).
Fields of papers citing papers by James L. McDonagh
This network shows the impact of papers produced by James L. McDonagh. 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 L. McDonagh. The network helps show where James L. McDonagh may publish in the future.
Co-authorship network of co-authors of James L. McDonagh
This figure shows the co-authorship network connecting the top 25 collaborators of James L. McDonagh. A scholar is included among the top collaborators of James L. McDonagh 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 L. McDonagh. James L. McDonagh 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 | 14 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 39 | |
| 8 | 32 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 32 | |
| 13 | 29 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | A review of methods for the calculation of solution free energies and the modelling of systems in solutionbreakdown → | 406 |
| 17 | 73 | |
| 18 | 16 | |
| 19 | 82 | |
| 20 | 5 |
About James L. McDonagh
James L. McDonagh is a scholar working on Physical and Theoretical Chemistry, Information Systems and Management and Computational Theory and Mathematics, having authored 24 papers that have together received 886 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (169 citations), Computational Theory and Mathematics (214 citations) and Filtration and Separation (21 citations). James L. McDonagh has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include John B. O. Mitchell, Tanja van Mourik, Colin R. Groom, R. Skyner, Mark A. Vincent, Paul L. A. Popelier, David Scott Palmer, Arnaldo F. Silva, Neetika Nath and Maxim V. Fedorov. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Chemical Physics Letters.
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.