Paul Tupper
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Advanced Thermodynamics and Statistical Mechanics
Papers in
-
- Phonetics and Phonology Research 9
- Multisensory perception and integration 2
-
- COVID-19 epidemiological studies 8
- Co-authors
- Caroline Colijn (10 shared papers)David Bryant (6 shared papers)David Cottrell (2 shared papers)Christopher McCabe (1 shared paper)Andrew M. Stuart (1 shared paper)John Alderete (2 shared papers)Jessica E. Stockdale (3 shared papers)Raz Kupferman (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (4 papers)SIAM Journal on Applied Dynamical Systems (3 papers)BIT Numerical Mathematics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Theoretical Biology (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Paul Tupper
40 papers receiving 473 citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 101
- Statistical and Nonlinear Physics 63
- Linguistics and Language 19
- Infectious Diseases 78
- Health 31
Countries citing papers authored by Paul Tupper
This map shows the geographic impact of Paul Tupper'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 Paul Tupper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tupper more than expected).
Fields of papers citing papers by Paul Tupper
This network shows the impact of papers produced by Paul Tupper. 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 Paul Tupper. The network helps show where Paul Tupper may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Tupper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 51 | |
| 2 | 2021 | 42 | |
| 3 | 2006 | 40 | |
| 4 | 2020 | 36 | |
| 5 | 2022 | 35 | |
| 6 | 2002 | 30 | |
| 7 | 2012 | 29 | |
| 8 | 2021 | 26 | |
| 9 | 2012 | 21 | |
| 10 | 2011 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2005 | 13 | |
| 14 | 2002 | 12 | |
| 15 | 2012 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2007 | 9 | |
| 19 | 2013 | 8 | |
| 20 | 2021 | 6 |
About Paul Tupper
Paul Tupper is a scholar working on Experimental and Cognitive Psychology, Modeling and Simulation, Statistical and Nonlinear Physics, Cognitive Neuroscience and Infectious Diseases, having authored 45 papers that have together received 491 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (9 papers), COVID-19 epidemiological studies (8 papers), Quantum chaos and dynamical systems (4 papers), Data-Driven Disease Surveillance (3 papers), Linguistic Variation and Morphology (3 papers), Advanced Topology and Set Theory (3 papers), COVID-19 and Mental Health (3 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Statistical and Nonlinear Physics (63 citations), Linguistics and Language (19 citations), Infectious Diseases (78 citations) and Health (31 citations). Paul Tupper has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Caroline Colijn, David Bryant, David Cottrell, Christopher McCabe, Andrew M. Stuart, John Alderete, Jessica E. Stockdale, Raz Kupferman, John R. Terry and Bruno Tremblay. Their work appears in journals such as The Journal of the Acoustical Society of America, SIAM Journal on Applied Dynamical Systems, BIT Numerical Mathematics, Proceedings of the National Academy of Sciences and Journal of Theoretical Biology.
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.