S. Flasse

4.3k total citations · 1 hit paper
26 papers, 3.2k citations indexed

About

S. Flasse is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, S. Flasse has authored 26 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 11 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in S. Flasse's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (8 papers) and Fire effects on ecosystems (6 papers). S. Flasse is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (8 papers) and Fire effects on ecosystems (6 papers). S. Flasse collaborates with scholars based in United Kingdom, Italy and United States. S. Flasse's co-authors include Pietro Ceccato, Jean‐Marie Grégoire, Stefano Tarantola, Simon N. Trigg, Stéphane Jacquemoud, Jean-Michel Renders, B. Pinty, Nadine Gobron, Luigi Boschetti and Pietro Alessandro Brivio and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

S. Flasse

25 papers receiving 3.0k citations

Hit Papers

Detecting vegetation leaf water content using reflectance... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Flasse United Kingdom 16 2.0k 1.8k 871 514 408 26 3.2k
Willem W. Verstraeten Belgium 35 1.6k 0.8× 2.0k 1.1× 1.2k 1.4× 518 1.0× 984 2.4× 103 3.9k
F. Mark Danson United Kingdom 32 2.7k 1.3× 1.7k 1.0× 2.4k 2.8× 722 1.4× 239 0.6× 63 4.2k
Stephen Boles United States 19 2.5k 1.2× 1.9k 1.1× 834 1.0× 570 1.1× 1.1k 2.7× 23 3.9k
Markus Neteler Italy 33 1.8k 0.9× 1.2k 0.7× 990 1.1× 288 0.6× 568 1.4× 98 5.2k
Nicholas Hamm Netherlands 23 899 0.5× 782 0.4× 703 0.8× 163 0.3× 452 1.1× 57 3.1k
Gang Chen China 33 1.2k 0.6× 1.1k 0.6× 1.4k 1.6× 135 0.3× 681 1.7× 172 3.5k
Felix Kogan United States 39 3.4k 1.7× 5.7k 3.2× 1.3k 1.5× 778 1.5× 1.1k 2.8× 102 7.6k
Éléonore Wolff Belgium 24 1.0k 0.5× 1.0k 0.6× 751 0.9× 122 0.2× 505 1.2× 106 2.6k
Gretchen G. Moisen United States 35 3.1k 1.6× 2.3k 1.3× 2.0k 2.3× 195 0.4× 357 0.9× 88 5.4k
R. Zurita‐Milla Netherlands 26 1.9k 1.0× 1.1k 0.6× 886 1.0× 560 1.1× 399 1.0× 119 3.2k

Countries citing papers authored by S. Flasse

Since Specialization
Citations

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

Fields of papers citing papers by S. Flasse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Flasse

This figure shows the co-authorship network connecting the top 25 collaborators of S. Flasse. A scholar is included among the top collaborators of S. Flasse 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 S. Flasse. S. Flasse 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.
Vanwambeke, Sophie, Éric F. Lambin, Markus P. Eichhorn, et al.. (2007). Impact of Land-use Change on Dengue and Malaria in Northern Thailand. EcoHealth. 4(1). 37–51. 83 indexed citations
2.
Flasse, S.. (2005). Remote Sensing and GIS Accuracy Assessment. The Photogrammetric Record. 20(111). 306–307. 8 indexed citations
3.
Flasse, S., Simon N. Trigg, Pietro Ceccato, et al.. (2004). Remote sensing of vegetation fires and its contribution to a fire management information system. Columbia Academic Commons (Columbia University). 58–211. 10 indexed citations
4.
Boschetti, Luigi, Pietro Alessandro Brivio, & S. Flasse. (2004). Pareto boundary: a useful tool in the accuracy assessment of low spatial resolution thematic products. 6. 3759–3762. 6 indexed citations
5.
Ceccato, Pietro, S. Flasse, & Jean‐Marie Grégoire. (2002). Designing a spectral index to estimate vegetation water content from remote sensing data. Remote Sensing of Environment. 82(2-3). 198–207. 295 indexed citations
6.
7.
Ceccato, Pietro, Nadine Gobron, S. Flasse, B. Pinty, & Stefano Tarantola. (2002). Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Remote Sensing of Environment. 82(2-3). 188–197. 490 indexed citations
8.
Flasse, S., et al.. (2002). Remote sensing and GIS tools to support vegetation fire management in developing countries. 4. 1569–1572. 3 indexed citations
9.
Trigg, Simon N. & S. Flasse. (2001). An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah. International Journal of Remote Sensing. 22(13). 2641–2647. 213 indexed citations
10.
Ceccato, Pietro, S. Flasse, Stefano Tarantola, Stéphane Jacquemoud, & Jean‐Marie Grégoire. (2001). Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sensing of Environment. 77(1). 22–33. 822 indexed citations breakdown →
11.
Connor, Stephen J., et al.. (1998). Environmental Information Systems in Malaria Risk Mapping and Epidemic Forecasting. Disasters. 22(1). 39–56. 37 indexed citations
12.
Flasse, S., et al.. (1998). Using remote sensing to predict outbreaks of Oestrus ovis in Namibia. Preventive Veterinary Medicine. 33(1-4). 31–38. 8 indexed citations
13.
Wooster, Martin J., Pietro Ceccato, & S. Flasse. (1998). Cover - Indonesian fires observed using AVHRR. International Journal of Remote Sensing. 19(3). 383–386. 38 indexed citations
14.
Thomson, M. C., Stephen J. Connor, Paul Milligan, & S. Flasse. (1997). Mapping malaria risk in Africa: What can satellite data contribute?. Parasitology Today. 13(8). 313–318. 77 indexed citations
15.
Renders, Jean-Michel & S. Flasse. (1996). Hybrid methods using genetic algorithms for global optimization. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 26(2). 243–258. 292 indexed citations
16.
Thomson, M. C., Stephen J. Connor, Paul Milligan, & S. Flasse. (1996). The ecology of malaria—as seen from Earth-observation satellites. Annals of Tropical Medicine and Parasitology. 90(3). 243–264. 88 indexed citations
17.
Eva, Hugh & S. Flasse. (1996). Contextual and multiple‐threshold algorithms for regional active fire detection with AVHRR data. Remote Sensing Reviews. 14(4). 333–351. 28 indexed citations
18.
Ceccato, Pietro, et al.. (1996). An automatic algorithm to detect vegetation fires globally from NOAA-AVHRR data. 4(4). 84–89. 1 indexed citations
19.
Flasse, S. & Pietro Ceccato. (1996). A contextual algorithm for AVHRR fire detection. International Journal of Remote Sensing. 17(2). 419–424. 208 indexed citations
20.
Ceccato, Pietro, et al.. (1995). Fire detection with advanced very high resolution radiometer AVHRR: a useful contextual algorithm. 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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