Patrick Redmond
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
-
- Geochemistry and Geologic Mapping 3
- Logic, programming, and type systems 2
-
- Geological and Geochemical Analysis 4
- High-pressure geophysics and materials 1
- earthquake and tectonic studies 1
- Co-authors
- Karsten Kunze (1 shared paper)Marco T. Einaudi (1 shared paper)Thomas Pettke (1 shared paper)Christoph A. Heinrich (1 shared paper)M. R. Landtwing (1 shared paper)George D. Sevastopulo (1 shared paper)Richard E. Goodman (2 shared papers)Akiko Hata (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Geological Society London Special Publications (2 papers)Science Signaling (1 paper)Earth and Planetary Science Letters (1 paper)
- Partner nations
- United StatesIrelandSwitzerland
In The Last Decade
Patrick Redmond
6 papers receiving 337 citations
Peers
Comparison fields: 5 of 48
- Geophysics 285
- Artificial Intelligence 216
- Geochemistry and Petrology 34
- Paleontology 13
- Filtration and Separation 3
Countries citing papers authored by Patrick Redmond
This map shows the geographic impact of Patrick Redmond'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 Patrick Redmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Redmond more than expected).
Fields of papers citing papers by Patrick Redmond
This network shows the impact of papers produced by Patrick Redmond. 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 Patrick Redmond. The network helps show where Patrick Redmond may publish in the future.
Co-authors
The 20 scholars most cited alongside Patrick Redmond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 275 | |
| 2 | 2017 | 32 | |
| 3 | 1996 | 16 | |
| 4 | 1999 | 14 | |
| 5 | 2020 | 11 | |
| 6 | A Guide to the Lisheen Zn-Pb Deposit | 1995 | 8 |
| 7 | 2020 | 0 | |
| 8 | 2025 | 0 |
About Patrick Redmond
Patrick Redmond is a scholar working on Artificial Intelligence, Geophysics, Hardware and Architecture, Computer Networks and Communications and Molecular Biology, having authored 8 papers that have together received 356 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (4 papers), Geochemistry and Geologic Mapping (3 papers), Logic, programming, and type systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), Congenital heart defects research (1 paper), High-pressure geophysics and materials (1 paper), Embedded Systems Design Techniques (1 paper) and earthquake and tectonic studies (1 paper). The work is most often cited by research in Geophysics (285 citations), Artificial Intelligence (216 citations), Geochemistry and Petrology (34 citations), Paleontology (13 citations) and Filtration and Separation (3 citations). Patrick Redmond has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Karsten Kunze, Marco T. Einaudi, Thomas Pettke, Christoph A. Heinrich, M. R. Landtwing, George D. Sevastopulo, Richard E. Goodman, Akiko Hata, Michael J.E. Sternberg and Thomas B. Kornberg. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Geological Society London Special Publications, Science Signaling and Earth and Planetary Science 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.