Faten Gabsi

511 total citations
10 papers, 317 citations indexed

About

Faten Gabsi is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Nature and Landscape Conservation. According to data from OpenAlex, Faten Gabsi has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 2 papers in Nature and Landscape Conservation. Recurrent topics in Faten Gabsi's work include Environmental Toxicology and Ecotoxicology (8 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Faten Gabsi is often cited by papers focused on Environmental Toxicology and Ecotoxicology (8 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). Faten Gabsi collaborates with scholars based in Germany, United Kingdom and United States. Faten Gabsi's co-authors include Thomas G. Preuß, Volker Grimm, Pernille Thorbek, Viktoriia Radchuk, Benjamin T. Martin, Alice S. A. Johnston, Steven F. Railsback, Liu Chun, Andreas Focks and Mattia Meli and has published in prestigious journals such as Environmental Science & Technology, Environmental Toxicology and Chemistry and Ecological Modelling.

In The Last Decade

Faten Gabsi

10 papers receiving 309 citations

Peers

Faten Gabsi

HTM

GPC

POLLU

ECOLO

NLC

Mattia Meli Denmark

Dan Osborn United Kingdom

Béatrice Frank Belgium

Guillaume Kon Kam King France

Amit Chakraborty United States

Adrian W. Leach United Kingdom

Ashkaan K. Fahimipour United States

Yang Ye China

Danny Elder Monaco

Wisdom M. Dlamini Eswatini

Mattia Meli Denmark

Faten Gabsi

54 ×0.6

HTM

84 ×1.1

GPC

53 ×0.7

POLLU

64 ×0.9

ECOLO

62 ×1.0

NLC

Citations per year, relative to Faten Gabsi Faten Gabsi (= 1×) peers Mattia Meli

Countries citing papers authored by Faten Gabsi

Since Specialization

Citations

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

Fields of papers citing papers by Faten Gabsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faten Gabsi

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

All Works

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10 of 10 papers shown

Gabsi, Faten, et al.. (2022). TWAc-Check: A New Approach to Determine the Appropriate Use of Time-Weighted Average Concentration in Aquatic Risk Assessment. Environmental Toxicology and Chemistry. 41(7). 1778–1787. 3 indexed citations

Gabsi, Faten, et al.. (2018). Short-term to long-term extrapolation of lethal effects of an herbicide on the marine mysid shrimp Americamysis Bahia by use of the General Unified Threshold Model of Survival (GUTS). Integrated Environmental Assessment and Management. 15(1). 29–39. 7 indexed citations

Gabsi, Faten, et al.. (2017). The power of hybrid modelling: An example from aquatic ecosystems. Ecological Modelling. 364. 77–88. 8 indexed citations

Gergs, André, Faten Gabsi, Armin Zenker, & Thomas G. Preuß. (2016). Demographic Toxicokinetic–Toxicodynamic Modeling of Lethal Effects. Environmental Science & Technology. 50(11). 6017–6024. 17 indexed citations

Gabsi, Faten & Thomas G. Preuß. (2014). Modelling the impact of the environmental scenario on population recovery from chemical stress exposure: A case study using Daphnia magna. Aquatic Toxicology. 156. 221–229. 3 indexed citations

Gabsi, Faten, Douglas S. Glazier, Monika Hammers‐Wirtz, Hans‐Toni Ratte, & Thomas G. Preuß. (2014). How do interactive maternal traits and environmental factors determine offspring size inDaphnia magna?. Annales de Limnologie - International Journal of Limnology. 50(1). 9–18. 12 indexed citations

Grimm, Volker, Andreas Focks, Béatrice Frank, et al.. (2014). Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE. Ecological Modelling. 280. 129–139. 208 indexed citations

Gabsi, Faten, Andreas Schäffer, & Thomas G. Preuß. (2013). Predicting the sensitivity of populations from individual exposure to chemicals: The role of ecological interactions. Environmental Toxicology and Chemistry. 33(7). 1449–1457. 10 indexed citations

Gabsi, Faten, Monika Hammers‐Wirtz, Volker Grimm, Andreas Schäffer, & Thomas G. Preuß. (2013). Coupling different mechanistic effect models for capturing individual- and population-level effects of chemicals: Lessons from a case where standard risk assessment failed. Ecological Modelling. 280. 18–29. 28 indexed citations

10.

Agatz, Annika, Monika Hammers‐Wirtz, Faten Gabsi, et al.. (2012). Promoting effects on reproduction increase population vulnerability of Daphnia magna. Environmental Toxicology and Chemistry. 31(7). 1604–1610. 21 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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