Robert J. Denham
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
-
- Statistical Methods and Bayesian Inference 4
- Markov Chains and Monte Carlo Methods 3
- Ecology 9
- Hydrology and Sediment Transport Processes 4
- Remote Sensing in Agriculture 4
- Co-authors
- Kerrie Lee Mengersen (10 shared papers)Neil Flood (1 shared paper)Lisa J. Collett (1 shared paper)Nicholas Goodwin (1 shared paper)Chris J. Thompson (3 shared papers)Jacky C. Croke (3 shared papers)Matthew J. Pringle (1 shared paper)Michael F. Schmidt (2 shared papers)
In The Last Decade
Robert J. Denham
21 papers receiving 433 citations
Peers
Comparison fields: 5 of 52
- Media Technology 102
- Ecological Modeling 25
- Ecology 167
- Global and Planetary Change 97
- Environmental Engineering 43
Countries citing papers authored by Robert J. Denham
This map shows the geographic impact of Robert J. Denham'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 Robert J. Denham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Denham more than expected).
Fields of papers citing papers by Robert J. Denham
This network shows the impact of papers produced by Robert J. Denham. 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 Robert J. Denham. The network helps show where Robert J. Denham may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Denham, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 111 | |
| 2 | 2012 | 82 | |
| 3 | 2008 | 49 | |
| 4 | 2016 | 48 | |
| 5 | 2007 | 36 | |
| 6 | 2003 | 19 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 15 | |
| 9 | 2009 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2008 | 11 | |
| 12 | 2009 | 11 | |
| 13 | 2010 | 11 | |
| 14 | 2010 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2017 | 3 | |
| 17 | 2007 | 2 | |
| 18 | Fast Bayesian analysis of spatial dynamic factor models for large space time data sets | 2009 | 2 |
| 19 | 2024 | 2 | |
| 20 | 2009 | 1 |
About Robert J. Denham
Robert J. Denham is a scholar working on Statistics and Probability, Ecology, Ecological Modeling, Environmental Engineering and Economics and Econometrics, having authored 21 papers that have together received 457 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Spatial and Panel Data Analysis (4 papers), Hydrology and Sediment Transport Processes (4 papers), Remote Sensing in Agriculture (4 papers), Species Distribution and Climate Change (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Flood Risk Assessment and Management (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Media Technology (102 citations), Ecological Modeling (25 citations), Ecology (167 citations), Global and Planetary Change (97 citations) and Environmental Engineering (43 citations). Robert J. Denham has collaborated with scholars based in Australia and Canada. Frequent co-authors include Kerrie Lee Mengersen, Neil Flood, Lisa J. Collett, Nicholas Goodwin, Chris J. Thompson, Jacky C. Croke, Matthew J. Pringle, Michael F. Schmidt, Rakhesh Devadas and Christian Witte. Their work appears in journals such as Remote Sensing, Environmental and Ecological Statistics, Remote Sensing of Environment, Bayesian Analysis and Journal of Statistical Software.
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.