Benoît Rivard
- Media Technology top 0.2%
- Remote-Sensing Image Classification 47
- Ecological Modeling top 1%
- Ecology top 0.5%
- Remote Sensing in Agriculture 36
- Environmental Engineering top 1%
- Soil Geostatistics and Mapping 15
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses 16
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- Geochemistry and Geologic Mapping 84
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- Geological and Geochemical Analysis 18
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- Hydrocarbon exploration and reservoir analysis 17
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- Mineral Processing and Grinding 13
- Co-authors
- Arturo Sánchez‐AzofeifaDerek RoggeJinkai ZhangJilu FengFeng JiangTao ChengMargaret KalácskaJulio Calvo‐Alvarado
- Journals
- Remote Sensing of Environment (21 papers)International Journal of Applied Earth Observation and Geoinformation (14 papers)Canadian Journal of Remote Sensing (7 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Benoît Rivard
144 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 137
- Media Technology 1.2k
- Ecological Modeling 472
- Ecology 2.1k
- Environmental Engineering 990
- Analytical Chemistry 654
Countries citing papers authored by Benoît Rivard
This map shows the geographic impact of Benoît Rivard'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 Benoît Rivard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Rivard more than expected).
Fields of papers citing papers by Benoît Rivard
This network shows the impact of papers produced by Benoît Rivard. 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 Benoît Rivard. The network helps show where Benoît Rivard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benoît Rivard, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 18 | |
| 4 | 2018 | 4 | |
| 5 | 2018 | 27 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 11 | |
| 9 | 2015 | 18 | |
| 10 | 2014 | 15 | |
| 11 | 2014 | 17 | |
| 12 | 2012 | 3 | |
| 13 | 2010 | 137 | |
| 14 | 2007 | 40 | |
| 15 | 2006 | 4 | |
| 16 | 2006 | 114 | |
| 17 | 2001 | 6 | |
| 18 | 1999 | 10 | |
| 19 | Utility of imaging spectrometry for lithologic mapping in Greenland | 1992 | 25 |
| 20 | Mapping of Ophiolitic Melanges of the Wadi Ghadir Area, Nubian Shield of Egypt Using a Linear Mixing Model Applied to Landsat Thematic Mapper Data | 1988 | 1 |
About Benoît Rivard
Benoît Rivard is a scholar working on Media Technology, Artificial Intelligence and Ecological Modeling, having authored 148 papers that have together received 5.0k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (84 papers), Remote-Sensing Image Classification (47 papers), Remote Sensing in Agriculture (36 papers), Geological and Geochemical Analysis (18 papers), Hydrocarbon exploration and reservoir analysis (17 papers), Spectroscopy and Chemometric Analyses (16 papers), Soil Geostatistics and Mapping (15 papers) and Mineral Processing and Grinding (13 papers). The work is most often cited by research in Media Technology (1.2k citations), Ecological Modeling (472 citations) and Ecology (2.1k citations). Benoît Rivard has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Arturo Sánchez‐Azofeifa, Derek Rogge, Jinkai Zhang, Jilu Feng, Feng Jiang, Tao Cheng, Margaret Kalácska, Julio Calvo‐Alvarado, Karen Castro-Esau and Maurício Quesada. Their work appears in journals such as Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation, Canadian Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.
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.