Charles Twardy
- Artificial Intelligence top 10%
- Global and Planetary Change
- Management Science and Operations Research top 10%
- Ecology
- Education top 10%
- Co-authors
- Marissa F. McBrideMark A. BurgmanFiona FidlerBonnie C. WintleLouisa FlanderLibby RumpffKevin B. KorbGeoffrey P. Bingham
- Topics
- Bayesian Modeling and Causal Inference (13 papers)Philosophy and History of Science (5 papers)Forecasting Techniques and Applications (5 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Charles Twardy
25 papers receiving 578 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 99
- Global and Planetary Change 86
- Management Science and Operations Research 78
- Ecology 72
- Education 64
Countries citing papers authored by Charles Twardy
This map shows the geographic impact of Charles Twardy'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 Charles Twardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Twardy more than expected).
Fields of papers citing papers by Charles Twardy
This network shows the impact of papers produced by Charles Twardy. 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 Charles Twardy. The network helps show where Charles Twardy may publish in the future.
Co-authorship network of co-authors of Charles Twardy
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Twardy. A scholar is included among the top collaborators of Charles Twardy 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 Charles Twardy. Charles Twardy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 72 | |
| 7 | 30 | |
| 8 | 10 | |
| 9 | Probabilistic Coherence Weighting for Optimizing Expert Forecasts | 0 |
| 10 | 7 | |
| 11 | 217 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | Epidemiological data mining of cardiovascular Bayesian networks | 19 |
| 15 | Missing Person Behaviour An Australian Study | 3 |
| 16 | Knowledge Engineering Cardiovascular Bayesian Networks from the Literature | 11 |
| 17 | Layout of Bayesian networks | 8 |
| 18 | 112 | |
| 19 | 3 | |
| 20 | 30 |
About Charles Twardy
Charles Twardy is a scholar working on General Decision Sciences, History and Philosophy of Science and Management Science and Operations Research, having authored 30 papers that have together received 630 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (13 papers), Philosophy and History of Science (5 papers) and Forecasting Techniques and Applications (5 papers). The work is most often cited by research in General Decision Sciences (49 citations), Ecological Modeling (61 citations) and History and Philosophy of Science (35 citations). Charles Twardy has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Marissa F. McBride, Mark A. Burgman, Fiona Fidler, Bonnie C. Wintle, Louisa Flander, Libby Rumpff, Kevin B. Korb, Geoffrey P. Bingham, Robert J. Koester and Steven Mascaro. Their work appears in journals such as PLoS ONE, Australasian Journal of Paramedicine and International Journal of Forecasting.
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.