Fabrice Béline

4.4k total citations
87 papers, 2.9k citations indexed

About

Fabrice Béline is a scholar working on Pollution, Industrial and Manufacturing Engineering and Building and Construction. According to data from OpenAlex, Fabrice Béline has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pollution, 35 papers in Industrial and Manufacturing Engineering and 29 papers in Building and Construction. Recurrent topics in Fabrice Béline's work include Wastewater Treatment and Nitrogen Removal (37 papers), Anaerobic Digestion and Biogas Production (29 papers) and Constructed Wetlands for Wastewater Treatment (18 papers). Fabrice Béline is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (37 papers), Anaerobic Digestion and Biogas Production (29 papers) and Constructed Wetlands for Wastewater Treatment (18 papers). Fabrice Béline collaborates with scholars based in France, Canada and United States. Fabrice Béline's co-authors include Nicolas Bernet, P. Dabert, Pascal Peu, Fabrice Guiziou, M.L. Daumer, Albert Magrí, Gilbert Bridoux, José Martínez, Romain Girault and Rajinikanth Rajagopal and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Fabrice Béline

86 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fabrice Béline 1.2k 989 840 471 459 87 2.9k
Barbara Scaglia 704 0.6× 946 1.0× 884 1.1× 248 0.5× 340 0.7× 84 3.4k
Suzelle Barrington 1.1k 0.9× 1.1k 1.2× 346 0.4× 411 0.9× 219 0.5× 148 3.7k
Giuliana D’Imporzano 653 0.6× 1.1k 1.1× 1.3k 1.6× 319 0.7× 332 0.7× 61 3.3k
Matías B. Vanotti 1.5k 1.3× 1.5k 1.5× 301 0.4× 799 1.7× 287 0.6× 121 3.4k
Wayne J. Parker 1.1k 1.0× 619 0.6× 557 0.7× 785 1.7× 128 0.3× 196 2.7k
Xavier Flotats Ripoll 1.1k 1.0× 968 1.0× 2.0k 2.4× 826 1.8× 342 0.7× 100 3.6k
Ariel A. Szögi 1.2k 1.0× 1.4k 1.4× 232 0.3× 607 1.3× 357 0.8× 132 3.2k
Fulvia Tambone 869 0.7× 1.3k 1.3× 798 0.9× 280 0.6× 391 0.9× 78 3.6k
Yuhei Inamori 1.2k 1.0× 904 0.9× 731 0.9× 444 0.9× 836 1.8× 176 3.2k
H. David Stensel 2.5k 2.2× 1.4k 1.4× 942 1.1× 1.2k 2.5× 315 0.7× 114 4.3k

Countries citing papers authored by Fabrice Béline

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Béline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Béline

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Béline. A scholar is included among the top collaborators of Fabrice Béline 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 Fabrice Béline. Fabrice Béline 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.
Casagli, Francesca, et al.. (2025). Ex–ante LCA for circular resource management of liquid digestate, by predictive modeling of algae–bacterial processes. Journal of Industrial Ecology. 29(5). 1568–1582. 1 indexed citations
2.
Béline, Fabrice, et al.. (2024). Impacts on water quality of producing biogas on pig farms as a function of the associated agricultural practices. Environmental Research Communications. 6(7). 75021–75021. 1 indexed citations
3.
Béline, Fabrice, et al.. (2024). The fate of Cu and Zn along the feed-animal-excreta-effluent continuum in swine systems according to feed and effluent treatment strategies. Journal of Environmental Management. 354. 120299–120299. 8 indexed citations
4.
Casagli, Francesca, et al.. (2022). Outdoor N2O emissions measurements in algae-bacteria systems guided by modelling. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
5.
Picard, Sylvie, Mireille Cambert, Jean‐Michel Roger, et al.. (2021). Determination of the lipid content of organic waste using time-domain nuclear magnetic resonance. Waste Management. 138. 41–48. 1 indexed citations
6.
Fisgativa, Henry, et al.. (2020). Comprehensive determination of input state variables dataset required for anaerobic digestion modelling (ADM1) based on characterisation of organic substrates. SHILAP Revista de lepidopterología. 29. 105212–105212. 7 indexed citations
7.
Béline, Fabrice, et al.. (2020). Dataset on the characteristics of the liquid effluent issued from separation of faeces and urine under slats using V-shaped scraper in swine buildings. SHILAP Revista de lepidopterología. 30. 105533–105533. 2 indexed citations
8.
Fisgativa, Henry, Romain Girault, M.L. Daumer, et al.. (2018). Physico-chemical, biochemical and nutritional characterisation of 42 organic wastes and residues from France. Data in Brief. 19. 1953–1962. 14 indexed citations
10.
Sýkorová, Eva, et al.. (2015). Effects of organic matter on crystallization of struvite in biologically treated swine wastewater. Environmental Technology. 37(7). 880–892. 36 indexed citations
11.
Sialve, Bruno, et al.. (2014). Digestate color and light intensity affect nutrient removal and competition phenomena in a microalgal-bacterial ecosystem. Water Research. 64. 278–287. 119 indexed citations
12.
Biscans, Béatrice, et al.. (2012). Optimization of struvite precipitation in synthetic biologically treated swine wastewater—Determination of the optimal process parameters. Journal of Hazardous Materials. 244-245. 357–369. 132 indexed citations
14.
Rajagopal, Rajinikanth & Fabrice Béline. (2011). Anaerobic hydrolysis and acidification of organic substrates: Determination of anaerobic hydrolytic potential. Bioresource Technology. 102(10). 5653–5658. 37 indexed citations
15.
Peu, Pascal, Jean‐François Sassi, Romain Girault, et al.. (2011). Sulphur fate and anaerobic biodegradation potential during co-digestion of seaweed biomass (Ulva sp.) with pig slurry. Bioresource Technology. 102(23). 10794–10802. 75 indexed citations
16.
Rajagopal, Rajinikanth & Fabrice Béline. (2010). Nitrogen removal via nitrite pathway and the related nitrous oxide emission during piggery wastewater treatment. Bioresource Technology. 102(5). 4042–4046. 35 indexed citations
17.
Béline, Fabrice, et al.. (2006). Modelling of biological processes during aerobic treatment of piggery wastewater aiming at process optimisation. Bioresource Technology. 98(17). 3298–3308. 32 indexed citations
18.
Guiziou, Fabrice & Fabrice Béline. (2004). In situ measurement of ammonia and greenhouse gas emissions from broiler houses in France. Bioresource Technology. 96(2). 203–207. 47 indexed citations
19.
Béline, Fabrice. (2002). Nitrogen transformations during biological aerobic treatment of pig slurry: effect of intermittent aeration on nitrous oxide emissions. Bioresource Technology. 83(3). 225–228. 63 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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