Glenn Moynihan
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Co-authors
- David D. O’ReganGilberto Teobaldi
- Topics
- Advanced Chemical Physics Studies (2 papers)Machine Learning in Materials Science (2 papers)Advanced Thermodynamics and Statistical Mechanics (1 paper)
- Cited by
- Electronic, Optical and Magnetic MaterialsAtomic and Molecular Physics, and OpticsCatalysis
- Journals
- Physical review. B.arXiv (Cornell University)Arrow@dit (Dublin Institute of Technology)
- Partner nations
- United KingdomChinaIreland
In The Last Decade
Glenn Moynihan
3 papers receiving 11 citations
Peers
Comparison fields: 5 of 7
- Materials Chemistry 6
- Atomic and Molecular Physics, and Optics 5
- Electrical and Electronic Engineering 5
- Electronic, Optical and Magnetic Materials 3
- Condensed Matter Physics 1
Countries citing papers authored by Glenn Moynihan
This map shows the geographic impact of Glenn Moynihan'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 Glenn Moynihan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Moynihan more than expected).
Fields of papers citing papers by Glenn Moynihan
This network shows the impact of papers produced by Glenn Moynihan. 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 Glenn Moynihan. The network helps show where Glenn Moynihan may publish in the future.
Co-authorship network of co-authors of Glenn Moynihan
This figure shows the co-authorship network connecting the top 25 collaborators of Glenn Moynihan. A scholar is included among the top collaborators of Glenn Moynihan 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 Glenn Moynihan. Glenn Moynihan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Self-Contained Ground-State Approach for the Correction of Self-Interaction Error in Approximate Density-Functional Theory | 1 |
| 2 | Density-functional theory cannot be constrained to completely overcome self-interaction error | 1 |
| 3 | 9 |
About Glenn Moynihan
Glenn Moynihan is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 3 papers that have together received 11 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (2 papers), Machine Learning in Materials Science (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (3 citations), Atomic and Molecular Physics, and Optics (5 citations) and Catalysis (1 citation). Glenn Moynihan has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include David D. O’Regan and Gilberto Teobaldi. Their work appears in journals such as Physical review. B., arXiv (Cornell University) and Arrow@dit (Dublin Institute of Technology).
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.