David Huard
Impact in
- Global and Planetary Change top 5%
- Hydrology and Drought Analysis
- Climate variability and models
- Flood Risk Assessment and Management
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Climate variability and models 6
- Hydrology and Drought Analysis 5
- Atmospheric and Environmental Gas Dynamics 3
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- Scientific Computing and Data Management 6
- Co-authors
- Christopher Fonnesbeck (3 shared papers)Anand P. Patil (3 shared papers)Anne‐Catherine Favre (2 shared papers)Alain Mailhot (3 shared papers)Guillaume Évin (1 shared paper)Annie Poulin (1 shared paper)Diane Chaumont (5 shared papers)Sophie Duchesne (1 shared paper)
In The Last Decade
David Huard
29 papers receiving 1.6k citations
David Huard's Hit Papers
Peers
Comparison fields: 5 of 143
- Global and Planetary Change 580
- Water Science and Technology 355
- Atmospheric Science 286
- Statistics, Probability and Uncertainty 97
- Instrumentation 46
Countries citing papers authored by David Huard
This map shows the geographic impact of David Huard'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 David Huard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Huard more than expected).
Fields of papers citing papers by David Huard
This network shows the impact of papers produced by David Huard. 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 David Huard. The network helps show where David Huard may publish in the future.
Co-authors
The 25 scholars most cited alongside David Huard, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PyMC: Bayesian Stochastic Modelling in Python. Hit paper breakdown → | 2010 | 399 |
| 2 | 2010 | 369 | |
| 3 | 2005 | 175 | |
| 4 | 2007 | 160 | |
| 5 | 2008 | 82 | |
| 6 | 2006 | 74 | |
| 7 | 2012 | 66 | |
| 8 | 2009 | 53 | |
| 9 | 2009 | 51 | |
| 10 | 2017 | 46 | |
| 11 | 2012 | 41 | |
| 12 | 2014 | 33 | |
| 13 | 2017 | 27 | |
| 14 | 2022 | 26 | |
| 15 | 2014 | 15 | |
| 16 | 2011 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 7 | |
| 20 | PyMC: Bayesian Stochastic Modelling in Python | 2010 | 3 |
About David Huard
David Huard is a scholar working on Global and Planetary Change, Information Systems and Management, Water Science and Technology, Artificial Intelligence and Atmospheric Science, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Scientific Computing and Data Management (6 papers), Hydrology and Watershed Management Studies (6 papers), Hydrology and Drought Analysis (5 papers), Computational Physics and Python Applications (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Hydrological Forecasting Using AI (3 papers) and Climate Change Policy and Economics (3 papers). The work is most often cited by research in Global and Planetary Change (580 citations), Water Science and Technology (355 citations), Atmospheric Science (286 citations), Statistics, Probability and Uncertainty (97 citations) and Instrumentation (46 citations). David Huard has collaborated with scholars based in Canada, Germany and Spain. Frequent co-authors include Christopher Fonnesbeck, Anand P. Patil, Anne‐Catherine Favre, Alain Mailhot, Guillaume Évin, Annie Poulin, Diane Chaumont, Sophie Duchesne, Bruno Tremblay and Claudio Paniconi. Their work appears in journals such as Water Resources Research, Journal of Computational Physics, Hydrological Sciences Journal, Journal of Hydrologic Engineering and PLoS ONE.
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.