Adam Lewis

2.3k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Adam Lewis is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Adam Lewis has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 11 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Adam Lewis's work include Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (5 papers). Adam Lewis is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (5 papers). Adam Lewis collaborates with scholars based in Australia, United States and Italy. Adam Lewis's co-authors include Leo Lymburner, Norman Mueller, Alex Ip, A Mcintyre, Dale Roberts, Medhavy Thankappan, Pei-Sze Tan, Rachel Melrose, Josh Sixsmith and Fuqin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Adam Lewis

26 papers receiving 988 citations

Hit Papers

Water observations from s... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adam Lewis Australia 13 535 450 316 219 169 27 1.0k
Norman Mueller Australia 12 611 1.1× 521 1.2× 344 1.1× 254 1.2× 179 1.1× 26 1.1k
Jon Olav Skøien Italy 19 762 1.4× 377 0.8× 374 1.2× 695 3.2× 248 1.5× 47 1.5k
S. Mohammad Mirmazloumi Spain 14 502 0.9× 432 1.0× 362 1.1× 136 0.6× 243 1.4× 25 1.2k
Jeffrey D. Colby United States 14 482 0.9× 423 0.9× 385 1.2× 186 0.8× 299 1.8× 21 1.1k
Dale Roberts Australia 11 462 0.9× 371 0.8× 235 0.7× 194 0.9× 110 0.7× 21 850
Laurence Hubert‐Moy France 22 559 1.0× 737 1.6× 437 1.4× 145 0.7× 161 1.0× 40 1.3k
Samuel Corgne France 17 413 0.8× 470 1.0× 381 1.2× 81 0.4× 191 1.1× 41 977
B.H.P. Maathuis Netherlands 18 783 1.5× 310 0.7× 312 1.0× 342 1.6× 534 3.2× 61 1.4k
Clemens Eisank Austria 12 469 0.9× 463 1.0× 450 1.4× 78 0.4× 389 2.3× 27 1.4k
Jarosław Jasiewicz Poland 12 354 0.7× 247 0.5× 297 0.9× 192 0.9× 180 1.1× 37 1.1k

Countries citing papers authored by Adam Lewis

Since Specialization
Citations

This map shows the geographic impact of Adam Lewis'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 Adam Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Lewis more than expected).

Fields of papers citing papers by Adam Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam Lewis. 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 Adam Lewis. The network helps show where Adam Lewis may publish in the future.

Co-authorship network of co-authors of Adam Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Lewis. A scholar is included among the top collaborators of Adam Lewis 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 Adam Lewis. Adam Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sudmanns, Martin, Hannah Augustin, Brian Killough, et al.. (2022). Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision. Big Earth Data. 7(3). 831–859. 27 indexed citations
2.
Yuan, F., et al.. (2021). Analysis Ready Data for Africa. 1789–1791. 6 indexed citations
3.
Lewis, Adam, Medhavy Thankappan, Zoltan Szantoi, et al.. (2020). CEOS Analysis Ready Data for Land: Implementation Phase and Next Steps. 3376–3378. 4 indexed citations
4.
Tadono, Takeo, Åke Rosenqvist, Adam Lewis, et al.. (2019). CEOS Analysis Ready Data For Land – An Overview on the Current and Future Work. 5536–5537. 15 indexed citations
5.
Bugnot, Ana B., Mitchell Lyons, Peter Scanes, et al.. (2018). A novel framework for the use of remote sensing for monitoring catchments at continental scales. Journal of Environmental Management. 217. 939–950. 21 indexed citations
6.
Lewis, Adam, Susanne Mecklenburg, Brian Killough, et al.. (2018). CEOS Analysis Ready Data for Land (CARD4L) Overview. 7407–7410. 38 indexed citations
7.
Sagar, Stephen, Norman Mueller, Adam Lewis, et al.. (2018). Digital Earth Australia - from Satellite Data to Better Decisions. 8633–8635. 10 indexed citations
8.
Li, Fuqin, David L.B. Jupp, Matt Paget, et al.. (2017). Improving BRDF normalisation for Landsat data using statistical relationships between MODIS BRDF shape and vegetation structure in the Australian continent. Remote Sensing of Environment. 195. 275–296. 16 indexed citations
9.
Brooke, Brendan, Leo Lymburner, & Adam Lewis. (2017). Coastal dynamics of Northern Australia – Insights from the Landsat Data Cube. Remote Sensing Applications Society and Environment. 8. 94–98. 9 indexed citations
10.
Lewis, Ben W., Leo Lymburner, Norman Mueller, et al.. (2017). Digital earth Australia – unlocking new value from earth observation data. Big Earth Data. 1(1-2). 64–74. 77 indexed citations
11.
Mueller, Norman, Adam Lewis, Dale Roberts, et al.. (2015). Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment. 174. 341–352. 382 indexed citations breakdown →
12.
Lewis, Adam, Leo Lymburner, Matthew B.J. Purss, et al.. (2015). Rapid, high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube. International Journal of Digital Earth. 9(1). 106–111. 85 indexed citations
13.
Tan, Peter, Leo Lymburner, Norman Mueller, et al.. (2013). Applying machine learning methods and time series analysis to create a National Dynamic Land Cover Dataset for Australia. 2. 4289–4292. 7 indexed citations
14.
Lewis, Adam & Tim Malthus. (2013). Data continuity and new opportunities for land monitoring. 3285–3288. 1 indexed citations
15.
Ravanbakhsh, Mehdi, et al.. (2012). GENERATION OF THE AUSTRALIAN GEOGRAPHIC REFERENCE IMAGE THROUGH LONG-STRIP ALOS PRISM ORIENTATION. SHILAP Revista de lepidopterología. XXXIX-B1. 225–229. 6 indexed citations
16.
Tan, Peter, Leo Lymburner, Medhavy Thankappan, & Adam Lewis. (2011). Mapping Cropping Practices Using MODIS Time Series: Harnessing the Data Explosion. Journal of the Indian Society of Remote Sensing. 39(3). 365–372. 7 indexed citations
17.
Lewis, Adam, et al.. (2010). Systematic Test and Evaluation of Metal Detectors: the EC's STEMD Project. Joint Research Centre (European Commission).
18.
Rottensteiner, Franz, et al.. (2009). A Strip Adjustment Approach for Precise Georeferencing of ALOS Optical Imagery. IEEE Transactions on Geoscience and Remote Sensing. 47(12). 4083–4091. 33 indexed citations
19.
Lewis, Adam, et al.. (2003). Performance demonstration for humanitarian demining. Materials Testing. 45(11-12). 504–512. 3 indexed citations
20.
David, Noam, et al.. (1996). Remote Sensing Characterization of Selected Waste Sites at the Los Alamos National Laboratory. Environmental Geosciences. 3(1). 1–10. 1 indexed citations

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.

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