The Strategic Environment Assessment bibliographic network: A quantitative literature review analysis

Caschili, Simone; Montis, Andrea De; Ganciu, Amedeo; Ledda, Antonio; Barra, Maria

doi:10.1016/j.eiar.2014.03.003

Cited by 26 publications

(29 citation statements)

References 56 publications

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“…Some articles may be more densely connected each other with respect to other sets of essays. Community detection in networks has been applied to many scientific sectors, such as social sciences (Newman and Girvan, 2004), and bibliometric analysis to investigate the tendency of authors to cluster around certain research topics (Caschili et al, 2014). Community detection tools have been studied in the last years (Fortunato, 2010) and can be classified in three main families: divisive methods (Girvan and Newman, 2002), spectral analysis (Kleinberg, 1999), and optimisation methods (Newman, 2006).…”

Section: Methodsmentioning

confidence: 99%

“…The successive development and availability of greater computing power has allowed the application of these analyses to many other fields with a variety of scopes and levels of detail (Ding, 2011). Caschili et al (2014) referred to scientific essays concerning Strategic Environmental Assessment (SEA), Jin et al (2011) introduced, under the concept of R&D network, more complex studies of the cross-fertilising influences between different research sectors (Newman, 2001), and the economic development connected to scientific discovery due to the so called absorptive capacity (Calero-Medina and Noyons, 2008). The success of an essay is usually meant as reputation and influence on the production of ideas in a given scientific field, and is positively correlated with the number of citations it receives (Chen, 2005).…”

Section: Bibliographic Analysis: a State Of The Art Summarymentioning

confidence: 99%

“…The paradigm of complex network analysis (CNA) allows the interpretation of the intertwined sets of nodes and arcs representing bibliographic features (Garfield et al, 1964). As recent studies demonstrate (Jin et al, 2011;Caschili et al, 2014), bibliographic network analysis consists of a semi-automatic tool able to characterise a given research field by detecting the most influential authors, the pattern of collaboration in research groups, the hottest issues, and the polarisation of relevant communities of essays over certain topics. The aim of this paper is the investigation of the scientific production of the SS AGR/10 and indexed in the Web of Science database.…”

Section: Introductionmentioning

confidence: 99%

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The scientific production of Italian agricultural engineers: a bibliometric network analysis concerning the scientific sector AGR/10 Rural buildings and agro-forestry territory

Montis

Ganciu

Recanatesi

et al. 2017

J Agricult Engineer

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According to a worldwide well-known attitude, also in Italy, the assessment of scientific production in the last decades has been progressively based on the analysis of the impact through bibliometric variables. Various data sets, such as Scopus by Elsevier and Web of Science by Thomson Reuters, are designed and maintained to index a steadily increasing range of essays: mostly journal articles, book chapters, and conference proceedings. The indexing relays on the capacity to evaluate and update specific impact measures by keeping track of the citations representing the relations between the essays. The related opportunity to interpret bibliographic systems as research and development (R&D) networks attracted the interest of scientists operating, beyond the field of bibliometric analysis, in the realm of social networking. Network analysis belongs to mechanical statistics and is able to make sense of interconnected systems including very large sets of nodes and links. In this paper, we present a network approach to the review of the scientific production in the time period January, 2003-June, 2016 of Italian agricultural engineers, namely scientists belonging to the Italian ministerial scientific disciplinary sector AGR/10 -rural buildings and agro-forestry territory. Starting from 238 articles indexed in the Web of Knowledge database and published by 87 AGR/10 scholars, we apply four network analysis approaches to the study of the citations among articles, the most influential journals and topics, the co-authorship, the most favourite keywords with their evolution in time, and the communities' pattern. We discover that Italian agricultural engineers are interlaced in a sparse network with a still limited tendency toward citing each other and are inclined to team up in established research groups based on a single university. As for the dualism between rural buildings and territory, we document on a relevant expansion of the issues related to landscape analysis and planning and a continuous renewal of studies concerning the relation between rural buildings and biomass and energy management. We advance that Italian agricultural engineers are not confronted anymore with two monolithic macro themes, i.e. building design and landscape analysis and planning. Instead, the complexity and interplay between these two domains has dramatically increased in a somehow diverging universe of even more specialised and trans-scale topics. IntroductionAccording to a worldwide long-standing practice and to recent legislative acts and institutional policies, also in Italy the assessment of scientific production in the last decades has been progressively based on the analysis of the impact through bibliometric variables. Italian academic scientific production is structured by the Ministry of University and Research (MIUR) in 14 scientific areas grouping sectors that cover the whole panorama of knowledge, from physics and mathematics to social and political sciences (MIUR, 2016). The majority of scientific sectors (SS) are bib...

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Section: Methodsmentioning

confidence: 99%

Section: Bibliographic Analysis: a State Of The Art Summarymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The scientific production of Italian agricultural engineers: a bibliometric network analysis concerning the scientific sector AGR/10 Rural buildings and agro-forestry territory

Montis

Ganciu

Recanatesi

et al. 2017

J Agricult Engineer

Self Cite

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“…Namely, using co-citation and bibliographic coupling , direct networks (Caschili, De Montis, Ganciu, Ledda, & Barra, 2014) and local Backward and Forward networks (Belter, 2016;Couteau, 2014). Also, there are some tools like Sci2, Citeseer, Google Scholar or Researchgate that crawls and apply the mentioned or similar bibliometric metrics or algorithms.…”

Section: The Modelmentioning

confidence: 99%

Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)

2018

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Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) is an excellent forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges. Keywords: Big Data sources, Web scraping Social media mining, Official Statistics, Internet Econometrics, Digital transformation, global society. 2nd International Conference on Advanced Research Methods and Analytics (CARMA2018)Universitat Politècnica de València, València, 2018 This work is licensed under a Creative Commons License CC BY-NC-ND 4.0 Editorial Universitat Politècnica de València I Preface Preface to CARMA2018This volume contains the selected papers of the Second International Conference on Advanced Research Methods and Analytics (CARMA 2018) hosted by the Universitat Politècnica de València, Spain during 12 and 13 July 2018. This second edition consolidated CARMA as a unique forum where Economics and Social Sciences research meets Internet and Big Data. CARMA provided researchers and practitioners with an ideal environment to exchange ideas and advances on how Internet and Big Data sources and methods contribute to overcome challenges in Economics and Social Sciences, as well as on the changes in the society because of the digital transformation.The selection of the scientific program was directed by Maria Rosalia Vicente, who led an international team of 33 scientific committee members representing 28 institutions. Following the call for papers, the conference received 73 paper submissions from all around the globe. All submissions were reviewed by the scientific committee members under a double blind review process. Finally, 40 papers were accepted for oral presentation during the conference. This represents an overall paper acceptance rate of 54%, ensuring a high quality scientific program. It covers a wide range of research topics in Internet and Big Data, including nowcasting people mobility and economic indicators, applications of Big Data methods in retail and finance, using search and social media data, among others.CARMA 2018 also featured two special sessions on "Big Data for Central Banks" and "Using Big Data in Official Statistics," chaired by Juri Marcucci and Gian Luigi Mazzi, respectively. Both sessions gave a complementary institutional perspective on how to use Internet and Big Data sources and methods for public policy and official statistics. The perspective from the private sector was contributed by Norbert Wirth, who talked about "Data Science development at scale" in his keynote speech. Organizing Committee General chairJosep Domènech, Universitat Politècnica de València Scientific committee chairMaría Rosalía Vicente, Universidad ...

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“…According to recent bibliometric analyses [19], SEA effectiveness and, typically, ER quality emerge as major topics [3,20,21]. A number of studies develop on SEA quality appreciation [3,10,15,[20][21][22][23][24][25][26][27][28][29][30].…”

Section: Strategic Environmental Assessment: An Overviewmentioning

confidence: 99%

Tourism environmental impact along religious routes and slow transport infrastructures: the role of coastal areas

Montis

Ganciu

Ledda

et al. 2015

WIT Transactions on the Built Environment

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Tourism is a major sector of the European economy. In particular, religious tourism along pilgrimage routes is a prominent phenomenon. Some religious routes in the island of Sardinia, Italy, start from coastal zones and may exert a relevant impact over the environment. The aim of this paper is to analyse the environmental effects of Italian and Sardinian urban planning tools related with religious tourism. In particular, it focuses on SEA quality and integration with the European Tourism Indicators System (ETIS).

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The Strategic Environment Assessment bibliographic network: A quantitative literature review analysis

Cited by 26 publications

References 56 publications

The scientific production of Italian agricultural engineers: a bibliometric network analysis concerning the scientific sector AGR/10 Rural buildings and agro-forestry territory

The scientific production of Italian agricultural engineers: a bibliometric network analysis concerning the scientific sector AGR/10 Rural buildings and agro-forestry territory

Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018)

Tourism environmental impact along religious routes and slow transport infrastructures: the role of coastal areas

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