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2022

Journal Articles

Rizzo, Davide; Debolini, Marta; Thenail, Claudine; Lardon, Sylvie; Marraccini , Elisa

Agriculture at the Landscape Level: Scientific Background and Literature Overview Journal Article

In: Landscape Agronomy, pp. 1–23, 2022.

Abstract | BibTeX | Links:

2019

Conferences

Rizzo, Davide; Marraccini, Elisa; Benoît, Marc; Thenail, Claudine; Lardon, Sylvie

Landscape agronomy: bibliometric insights on key issues and background topics of a conceptual framework Conference

10th IALE World Congress Milan, Italy, 2019.

Abstract | BibTeX | Links:

@conference{Rizzo2019,

title = {Landscape agronomy: bibliometric insights on key issues and background topics of a conceptual framework},

author = {Davide Rizzo and Elisa Marraccini and Marc Benoît and Claudine Thenail and Sylvie Lardon},

url = {https://hal.science/hal-03609817/

https://www.researchgate.net/publication/334285870_Landscape_agronomy_bibliometric_insights_on_key_issues_and_background_topics_of_a_conceptual_framework},

year  = {2019},

date = {2019-07-04},

urldate = {2019-07-04},

address = {Milan, Italy},

organization = {10th IALE World Congress },

abstract = {Landscapes are formed by the interactions between natural resources and heterogeneous land managers that expect/pursue an increasing variety of ecosystem services. Landscape ecology undoubtedly indicated the landscape as the best level to assess existing services and to support expected improvements. Where agriculture drives local dynamics, a contextual cross-scale analysis of farming activities and actors is needed to understand how and why landscapes are produced, eventually, redesigned. Inspired by landscape ecology, the landscape agronomy framework was proposed to extend the study of patterns and processes to agriculture, calling to focus on the spatially explicit characterization of farmers' decision-making. In summary, the landscape agronomy conceptual framework helps to describe and analyze the patterns determined by the interactions between agricultural practices and local resources (Benoit, Rizzo et al. 2012, Lands Ecol). This communication aims at providing insights into the key concepts underpinning the conceptual framework, such as the "cropping system" defined by agronomists, and the "force fields" applied in geography. A few years after the launch of this conceptual framework, we address the question: "who cares about landscape and agriculture?". To this aim, we will present the result of a bibliometric analysis using the CorText platform to explore research keywords, (inter)disciplinary bridges and emerging issues related to landscape agronomy. In the discussion, we will address some relevant applications, such as the challenges for agrifood system management of natural resources or to energy production by farmers (e.g., biofuel, biogas), and the landscape perspective on the deployment of smart farming and agtech. We will conclude on possible improvements to this conceptual framework. Altogether, this communication sets the scene for an upcoming multidisciplinary book about advances and challenges of a territorial approach to agricultural issues. },

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

Landscapes are formed by the interactions between natural resources and heterogeneous land managers that expect/pursue an increasing variety of ecosystem services. Landscape ecology undoubtedly indicated the landscape as the best level to assess existing services and to support expected improvements. Where agriculture drives local dynamics, a contextual cross-scale analysis of farming activities and actors is needed to understand how and why landscapes are produced, eventually, redesigned. Inspired by landscape ecology, the landscape agronomy framework was proposed to extend the study of patterns and processes to agriculture, calling to focus on the spatially explicit characterization of farmers' decision-making. In summary, the landscape agronomy conceptual framework helps to describe and analyze the patterns determined by the interactions between agricultural practices and local resources (Benoit, Rizzo et al. 2012, Lands Ecol). This communication aims at providing insights into the key concepts underpinning the conceptual framework, such as the "cropping system" defined by agronomists, and the "force fields" applied in geography. A few years after the launch of this conceptual framework, we address the question: "who cares about landscape and agriculture?". To this aim, we will present the result of a bibliometric analysis using the CorText platform to explore research keywords, (inter)disciplinary bridges and emerging issues related to landscape agronomy. In the discussion, we will address some relevant applications, such as the challenges for agrifood system management of natural resources or to energy production by farmers (e.g., biofuel, biogas), and the landscape perspective on the deployment of smart farming and agtech. We will conclude on possible improvements to this conceptual framework. Altogether, this communication sets the scene for an upcoming multidisciplinary book about advances and challenges of a territorial approach to agricultural issues.

2018

Technical Reports

Aubin, Sophie; Huber, Madeleine

eROSA. e-infrastructure Roadmap for Open Science in Agriculture : bibliometric study results Technical Report

INRA, Horizon 2020 2018, (Ref. Ares(2018)3404573).

Abstract | BibTeX | Links:

@techreport{Aubin2018,

title = {eROSA. e-infrastructure Roadmap for Open Science in Agriculture : bibliometric study results},

author = {Sophie Aubin and Madeleine Huber},

url = {https://zenodo.org/record/1305000/files/Bibliometric%20study%20results.pdf},

year  = {2018},

date = {2018-06-28},

urldate = {2018-06-28},

institution = {INRA, Horizon 2020},

abstract = {This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:

1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.

2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).

3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.},

note = {Ref. Ares(2018)3404573},

keywords = {},

pubstate = {published},

tppubtype = {techreport}

}

This study highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. The added value of such a methodological approach is the resulting ability to provide a detailed answer to the question “who does what?” by collecting, processing, analysing and visualising the metadata1 of related scientific publications. The study focuses on articles that have been published in the past 10 years (i.e. during the period 2005-2015). As such, the analysis is a first attempt at delineating, mapping and describing the scientific community that the e-ROSA project seeks to engage with. It neither aims at being exhaustive nor at providing an evaluation on the scientific excellence of identified stakeholders as this is not the goal of the community-building activity under e-ROSA. The specific objectives of the analysis include:
1 - The identification of scientists and related collaboration networks involved in data science for agriculture in order to initiate further contact while building and engaging with the e-ROSA community throughout the project: e.g. these results provide valuable contacts in the context of the desk surveys that will be carried out under Work Package 1 in order to consolidate and reach out to the community, and in the context of the workshops organised under Work Package 2 that seek community-building and co-design of the e-ROSA Roadmap.
2 - The identification of specific domains related to data and computer science that are of interest to identified scientists (i.e. working on agricultural issues).
3 - The identification of related conferences and journals that the e-ROSA project can target in order to effectively reach out to the relevant communities involved in data science issues related to agriculture.

LIST OF SCIENTIFIC WORKS THAT HAVE USED CORTEXT MANAGER
(Sources: Google Scholar, HAL, Scopus, WOS and search engines)

We are grateful that you have found CorTexT Manager useful. Over the years, you have been more than 1050 authors to trust CorTexT for your publicly accessible analyzes. This represents a little less than 10% of CorTexT Manager user’s community. So, thank you!

We seek to understand how the scientific production that used CorText Manager has evolved and to characterise it. You will find here our analysis of this scientific production.

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Revue d’anthropologie des connaissances
PloS one
Réseaux
Journal of Rural Studies
Revue d'anthropologie des connaissances
Library Hi Tech
Environmental Advances
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2022

Journal Articles

2019

Conferences

2018

Technical Reports

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