Eric Lehmann
- Signal Processing top 1%
- Speech and Audio Processing 14
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 13
- Soil Geostatistics and Mapping 8
- Computational Mechanics top 5%
- Global and Planetary Change top 5%
- Climate variability and models 5
- Hydrology and Drought Analysis 4
- Ecology top 5%
- Remote Sensing in Agriculture 10
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- Indoor and Outdoor Localization Technologies 6
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- Target Tracking and Data Fusion in Sensor Networks 6
- Co-authors
- Robert C. WilliamsonD.B. WardPeter CaccettaAnthea L. MitchellZheng-Shu ZhouSven NordholmAloke PhatakJ. Wallace
- Partner nations
- AustraliaUnited KingdomFrance
In The Last Decade
Eric Lehmann
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Signal Processing 688
- Environmental Engineering 277
- Computational Mechanics 332
- Global and Planetary Change 309
- Ecology 354
Countries citing papers authored by Eric Lehmann
This map shows the geographic impact of Eric Lehmann'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 Eric Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Lehmann more than expected).
Fields of papers citing papers by Eric Lehmann
This network shows the impact of papers produced by Eric Lehmann. 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 Eric Lehmann. The network helps show where Eric Lehmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Lehmann, 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 | 2025 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 18 | |
| 4 | Preliminary assessment of the impact of climate change on design rainfall IFD curves | 2015 | 2 |
| 5 | 2014 | 29 | |
| 6 | Statistical modelling of rainfall intensity-frequency-duration curves using regional frequency analysis and bayesian hierarchical modelling | 2014 | 4 |
| 7 | 2013 | 11 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 1 | |
| 10 | 2012 | 91 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 50 | |
| 14 | Long-term ERP time series as indicators for global climate variability and climate change | 2009 | 2 |
| 15 | 2009 | 95 | |
| 16 | 2007 | 64 | |
| 17 | 2006 | 5 | |
| 18 | 2006 | 5 | |
| 19 | 2006 | 7 | |
| 20 | 2005 | 3 |
About Eric Lehmann
Eric Lehmann is a scholar working on Signal Processing, Environmental Engineering and Oceanography, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Remote Sensing and LiDAR Applications (13 papers), Remote Sensing in Agriculture (10 papers), Soil Geostatistics and Mapping (8 papers), Indoor and Outdoor Localization Technologies (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Climate variability and models (5 papers) and Hydrology and Drought Analysis (4 papers). The work is most often cited by research in Signal Processing (688 citations), Environmental Engineering (277 citations) and Computational Mechanics (332 citations). Eric Lehmann has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Robert C. Williamson, D.B. Ward, Peter Caccetta, Anthea L. Mitchell, Zheng-Shu Zhou, Sven Nordholm, Aloke Phatak, J. Wallace, Suzanne Furby and Katherine Zdunic. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, Biogeosciences, Ecological Informatics and IEEE Transactions on Geoscience and 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.