Enrico Celio

629 total citations
21 papers, 506 citations indexed

About

Enrico Celio is a scholar working on Global and Planetary Change, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Enrico Celio has authored 21 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 7 papers in Artificial Intelligence and 6 papers in Economics and Econometrics. Recurrent topics in Enrico Celio's work include Land Use and Ecosystem Services (14 papers), Bayesian Modeling and Causal Inference (7 papers) and Economic and Environmental Valuation (6 papers). Enrico Celio is often cited by papers focused on Land Use and Ecosystem Services (14 papers), Bayesian Modeling and Causal Inference (7 papers) and Economic and Environmental Valuation (6 papers). Enrico Celio collaborates with scholars based in Switzerland, Germany and Madagascar. Enrico Celio's co-authors include Adrienne Grêt‐Regamey, Thomas M. Klein, Ulrike Wissen Hayek, Thomas Koellner, Janina Kleemann, Christine Fürst, Julie G. Zaehringer, Sven-Erik Rabe, Ana Stritih and Courtney G. Flint and has published in prestigious journals such as Remote Sensing of Environment, Landscape and Urban Planning and Ecological Modelling.

In The Last Decade

Enrico Celio

21 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Celio Switzerland 13 347 86 83 73 68 21 506
Pengnan Xiao China 14 403 1.2× 91 1.1× 80 1.0× 63 0.9× 139 2.0× 25 577
Xiaoqing Song China 12 354 1.0× 61 0.7× 96 1.2× 59 0.8× 57 0.8× 29 564
Sylvia Herrmann Germany 13 334 1.0× 108 1.3× 107 1.3× 57 0.8× 144 2.1× 18 608
Zachary H. Ancona United States 11 424 1.2× 87 1.0× 127 1.5× 124 1.7× 103 1.5× 21 620
Lefeng Qiu China 12 254 0.7× 104 1.2× 86 1.0× 38 0.5× 96 1.4× 24 454
Eshetu Shifaw China 11 285 0.8× 70 0.8× 91 1.1× 34 0.5× 110 1.6× 27 574
Narumasa Tsutsumida Japan 13 302 0.9× 55 0.6× 39 0.5× 91 1.2× 184 2.7× 48 545
Fanan Ujoh United Kingdom 12 379 1.1× 52 0.6× 36 0.4× 32 0.4× 71 1.0× 25 588
Xiaoran Huang China 12 382 1.1× 73 0.8× 77 0.9× 36 0.5× 175 2.6× 36 686
Zhifeng Jin China 12 383 1.1× 103 1.2× 114 1.4× 73 1.0× 143 2.1× 29 600

Countries citing papers authored by Enrico Celio

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Celio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Celio

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Celio. A scholar is included among the top collaborators of Enrico Celio 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 Enrico Celio. Enrico Celio 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.
Celio, Enrico, et al.. (2023). Assessing farmers’ income vulnerability to vanilla and clove export economies in northeastern Madagascar using land-use change modelling. Journal of Land Use Science. 18(1). 55–83. 5 indexed citations
2.
Bürgi, Matthias, Enrico Celio, Vasco Diogo, et al.. (2022). Advancing the study of driving forces of landscape change. Journal of Land Use Science. 17(1). 540–555. 30 indexed citations
3.
Celio, Enrico, et al.. (2022). Application of Q-methodology for identifying factors of acceptance of spatial planning instruments. Journal of Environmental Planning and Management. 66(9). 1890–1917. 7 indexed citations
4.
Rueff, Henri, et al.. (2021). Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar. Ecosystem Services. 52. 101363–101363. 34 indexed citations
5.
Zaehringer, Julie G., et al.. (2020). Quantifying local ecosystem service outcomes by modelling their supply, demand and flow in Myanmar’s forest frontier landscape. Journal of Land Use Science. 16(1). 55–93. 9 indexed citations
6.
Stritih, Ana, et al.. (2020). An online platform for spatial and iterative modelling with Bayesian Networks. Environmental Modelling & Software. 127. 104658–104658. 34 indexed citations
7.
8.
Celio, Enrico, et al.. (2019). A serious game to parameterize Bayesian networks: Validation in a case study in northeastern Madagascar. Environmental Modelling & Software. 122. 104525–104525. 14 indexed citations
9.
Kleemann, Janina, Enrico Celio, & Christine Fürst. (2018). Reprint of “Validation approaches of an expert-based Bayesian Belief Network in northern Ghana, West Africa”. Ecological Modelling. 371. 101–118. 6 indexed citations
10.
Leiterer, Reik, et al.. (2018). Automated detection of individual clove trees for yield quantification in northeastern Madagascar based on multi-spectral satellite data. Remote Sensing of Environment. 221. 144–156. 13 indexed citations
11.
Kleemann, Janina, et al.. (2017). Assessing the risk of seasonal food insecurity with an expert-based Bayesian Belief Network approach in northern Ghana, West Africa. Ecological Complexity. 32. 53–73. 24 indexed citations
12.
Kleemann, Janina, Enrico Celio, & Christine Fürst. (2017). Validation approaches of an expert-based Bayesian Belief Network in Northern Ghana, West Africa. Ecological Modelling. 365. 10–29. 26 indexed citations
13.
Celio, Enrico & Adrienne Grêt‐Regamey. (2016). Understanding farmers' influence on land-use change using a participatory Bayesian network approach in a pre-Alpine region in Switzerland. Journal of Environmental Planning and Management. 59(11). 2079–2101. 16 indexed citations
14.
Klein, Thomas M., Enrico Celio, & Adrienne Grêt‐Regamey. (2015). Ecosystem services visualization and communication: A demand analysis approach for designing information and conceptualizing decision support systems. Ecosystem Services. 13. 173–183. 28 indexed citations
15.
Celio, Enrico, et al.. (2015). A prototypical tool for normative landscape scenario development and the analysis of actors’ policy preferences. Landscape and Urban Planning. 137. 40–53. 8 indexed citations
16.
17.
Celio, Enrico, Thomas Koellner, & Adrienne Grêt‐Regamey. (2013). Modeling land use decisions with Bayesian networks: Spatially explicit analysis of driving forces on land use change. Environmental Modelling & Software. 52. 222–233. 70 indexed citations
18.
Klein, Thomas M., Ulrike Wissen Hayek, Enrico Celio, & Adrienne Grêt‐Regamey. (2013). Decision Support Systems and Tools as Collaborative Web Platform for Sustainable Development of Landscapes. 239–247. 1 indexed citations
19.
Grêt‐Regamey, Adrienne, Enrico Celio, Thomas M. Klein, & Ulrike Wissen Hayek. (2012). Understanding ecosystem services trade-offs with interactive procedural modeling for sustainable urban planning. Landscape and Urban Planning. 109(1). 107–116. 129 indexed citations
20.
Grêt‐Regamey, Adrienne, et al.. (2011). Securing hydrological ecosystem services through catchment-wide land use management. SERVAL (Université de Lausanne). 4. 124–133. 3 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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