Danny Lo Seen

3.6k total citations
70 papers, 2.7k citations indexed

About

Danny Lo Seen is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Danny Lo Seen has authored 70 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 33 papers in Ecology and 16 papers in Atmospheric Science. Recurrent topics in Danny Lo Seen's work include Remote Sensing in Agriculture (26 papers), Land Use and Ecosystem Services (21 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Danny Lo Seen is often cited by papers focused on Remote Sensing in Agriculture (26 papers), Land Use and Ecosystem Services (21 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Danny Lo Seen collaborates with scholars based in France, United States and India. Danny Lo Seen's co-authors include Agnès Bégué, Nico Koedam, Farid Dahdouh‐Guebas, L.P. Jayatissa, Diana Di Nitto, Jared O. Bosire, É. Mougin, Louise Leroux, Christian Baron and Serge Rambal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Current Biology.

In The Last Decade

Danny Lo Seen

66 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Lo Seen France 30 1.5k 1.2k 466 402 373 70 2.7k
Maxim Shoshany Israel 27 998 0.7× 843 0.7× 706 1.5× 384 1.0× 269 0.7× 100 2.2k
Xiangming Xiao United States 25 1.6k 1.1× 1.7k 1.5× 608 1.3× 490 1.2× 195 0.5× 41 2.7k
Juan Pablo Guerschman Australia 32 1.7k 1.1× 2.0k 1.7× 946 2.0× 524 1.3× 310 0.8× 65 3.7k
Zhenhua Zou China 23 1.2k 0.8× 1.8k 1.5× 547 1.2× 391 1.0× 129 0.3× 37 2.6k
Martin Rudbeck Jepsen Denmark 25 1.1k 0.8× 1.8k 1.5× 508 1.1× 340 0.8× 262 0.7× 55 3.3k
Ursula Geßner Germany 29 1.2k 0.8× 1.4k 1.3× 616 1.3× 786 2.0× 248 0.7× 65 2.7k
Robert R. Christian United States 30 1.7k 1.1× 815 0.7× 382 0.8× 312 0.8× 145 0.4× 72 2.9k
Stéphanie Horion Denmark 31 1.6k 1.0× 2.4k 2.1× 530 1.1× 623 1.5× 191 0.5× 67 3.6k
Osmar Abílio de Carvalho Júnior Brazil 27 817 0.5× 664 0.6× 497 1.1× 324 0.8× 229 0.6× 183 2.4k
Stefanie Herrmann United States 21 1.2k 0.8× 1.4k 1.2× 359 0.8× 363 0.9× 191 0.5× 33 2.4k

Countries citing papers authored by Danny Lo Seen

Since Specialization
Citations

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

Fields of papers citing papers by Danny Lo Seen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Lo Seen. 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 Danny Lo Seen. The network helps show where Danny Lo Seen may publish in the future.

Co-authorship network of co-authors of Danny Lo Seen

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Lo Seen. A scholar is included among the top collaborators of Danny Lo Seen 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 Danny Lo Seen. Danny Lo Seen 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.
Proisy, Christophe, Antoine Gardel, Guillaume Brunier, et al.. (2025). MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring. Environmental Modelling & Software. 186. 106345–106345.
2.
Seen, Danny Lo, et al.. (2023). Food and electricity self-sufficiency trade-offs in Reunion Island: Modelling land-use change scenarios with stakeholders. Land Use Policy. 132. 106784–106784. 11 indexed citations
3.
4.
Interdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, & Giuseppe Scarpa. (2020). Extracting multilayer networks from Sentinel-2 satellite image time series. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2 indexed citations
5.
Elahee, Khouaildi B., et al.. (2020). ALBOMAURICE: A predictive model for mapping Aedes albopictus mosquito populations in Mauritius. SoftwareX. 13. 100638–100638. 3 indexed citations
6.
Seen, Danny Lo, et al.. (2018). Modelling cropping plan strategies: What decision margin for farmers in Burkina Faso?. Agricultural Systems. 167. 17–33. 4 indexed citations
7.
8.
Charrier, Bertrand, Agnès Bégué, Louise Leroux, et al.. (2016). Observation spatiale pour l'agriculture en Afrique: potentiels et défis. Agritrop (Cirad). 1 indexed citations
9.
Zhang, Zengxiang, et al.. (2016). Spatiotemporal Characteristics of Urban Sprawl in Chinese Port Cities from 1979 to 2013. Sustainability. 8(11). 1138–1138. 13 indexed citations
10.
Garchitorena, Andrés, Jordi Landier, Gaëtan Texier, et al.. (2014). Ecological niche modelling of Hemipteran insects in Cameroon; the paradox of a vector-borne transmission for Mycobacterium ulcerans, the causative agent of Buruli ulcer. International Journal of Health Geographics. 13(1). 44–44. 15 indexed citations
11.
Soti, Valérie, Annelise Tran, Véronique Chevalier, et al.. (2012). Combining Hydrology and Mosquito Population Models to Identify the Drivers of Rift Valley Fever Emergence in Semi-Arid Regions of West Africa. PLoS neglected tropical diseases. 6(8). e1795–e1795. 39 indexed citations
12.
Vintrou, Élodie, Mamy Soumaré, Simon Bernard, et al.. (2012). Mapping Fragmented Agricultural Systems in the Sudano-Sahelian Environments of Africa Using Random Forest and Ensemble Metrics of Coarse Resolution MODIS Imagery. Photogrammetric Engineering & Remote Sensing. 78(8). 839–848. 16 indexed citations
13.
Soti, Valérie, Christian Puech, Danny Lo Seen, et al.. (2010). The potential for remote sensing and hydrologic modelling to assess the spatio-temporal dynamics of ponds in the Ferlo Region (Senegal). Hydrology and earth system sciences. 14(8). 1449–1464. 36 indexed citations
14.
Feagin, Rusty A., Nibedita Mukherjee, Kartik Shanker, et al.. (2009). Shelter from the storm?: Use and misuse of bioshields for managing natural disasters on the coast. Flanders Marine Institute (Flanders Marine Institute). 43. 62. 1 indexed citations
15.
Tran, Annelise, Nicolas Ponçon, Céline Toty, et al.. (2008). Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France. International Journal of Health Geographics. 7(1). 9–9. 38 indexed citations
16.
Dahdouh‐Guebas, Farid, et al.. (2006). Analysing ethnobotanical and fishery-related importance of mangroves of the East-Godavari Delta (Andhra Pradesh, India) for conservation and management purposes. Journal of Ethnobiology and Ethnomedicine. 2(1). 24–24. 71 indexed citations
17.
Dahdouh‐Guebas, Farid, et al.. (2005). Transitions in Ancient Inland Freshwater Resource Management in Sri Lanka Affect Biota and Human Populations in and around Coastal Lagoons. Current Biology. 15(6). 579–586. 132 indexed citations
18.
Dahdouh‐Guebas, Farid, L.P. Jayatissa, Diana Di Nitto, et al.. (2005). How effective were mangroves as a defence against the recent tsunami?. Current Biology. 15(14). 1337–1338. 54 indexed citations
19.
Nouvellon, Yann, M. Susan Moran, Danny Lo Seen, et al.. (2002). Assimilating LANDSAT data in an ecosystem model for multi-year simulation of grassland carbon, water and energy budget. 5. 1966–1968. 1 indexed citations
20.
Solan, Benoît de, et al.. (2001). GIS, MULTI-DATE AND MULTI-SOURCE DATA FOR DETERMINING SHORELINE CHANGES: A CASE FOR GAUTAMI GODAVARI DELTA, EAST COAST OF INDIA. SPIRE - Sciences Po Institutional REpository. 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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