scholarly journals Intellectual Structure of CORINE Land Cover Research Applications in Web of Science: A Europe-Wide Review

2019 ◽  
Vol 11 (17) ◽  
pp. 2017 ◽  
Author(s):  
Bielecka ◽  
Jenerowicz
Keyword(s):  
Land Cover ◽  
Large Scale ◽  
Web Of Science ◽  
Cognitive Structure ◽  
Scientific Data ◽  
Intellectual Structure ◽  
Corine Land Cover ◽  
Main Research ◽  
Research Areas ◽  
Author Citations

The objective of this paper is to manifest the intellectual and cognitive structure of CORINE Land Cover (CLC) research applications. Data from the Web of Science (WoS) was used to delimit publication on CLC during the period from 1985 until 2019 (29th April), retrieving a total of 873 documents. Through author citations, the origins and the most influential papers were identified. The main lines of research were identified from word co-occurrences extracted from the titles, keywords, and abstracts of the papers. In the view of both structures, it can be concluded that CORINE land cover constitutes a relatively young set of scientific data, with a constant expansion and a strongly interdisciplinary structure. The development of this application is dependent on the knowledge of such research areas as geography, remote sensing, ecology, forestry, agriculture, engineering, optics, and/or computer science. We believe that this information could be very useful for CLC users, as it reflects a large-scale analysis of the research lines of CLC and illuminates how research has changed over time in diverse areas of applications. Moreover, this study is intended to offer a useful tool for the CLC scientific community, showcasing the main research lines and the most noteworthy papers. Finally, the methodology used in this study can be replicated in many other fields of science to explore its intellectual and cognitive structure.

scholarly journals An Overarching Review on Delay Analyses in Construction Projects

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 109
Author(s):  
Murat Çevikbaş ◽  
Zeynep Işık
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Web Of Science ◽  
Delay Analysis ◽  
Future Studies ◽  
Main Research ◽  
Research Areas ◽  
Road Map ◽  
Research Themes ◽  
Research Domains

Numerous studies have been conducted by researchers on the delay analysis topic, which is one of the primary areas of scientific study due to the effects of delays on time and cost in construction projects. Following fruitful contributions made by the researchers, it is believed to be extremely important to summarize the existing studies in terms of being a road map for future studies and practitioners. In this context, not only does this study aim to detect the most significant authors, sources, organizations and countries contributing to the improvement of delay domain in the construction industry concerning delay analyses worldwide but also to provide the researchers with extensive insights concerning the prominent research themes, trends and gaps in the literature. Hence, 168 documents related to delay analyses from 1982 to 11 February 2021 were detected through the Scopus Database and the Web of Science Database, and scientometric analyses were conducted via VOSviewer software. By evaluating the related research, two main research areas were detected in this field, namely; improving the delay analysis methods and resolving the disputes before they occur. This study is believed to make theoretical and practical contributions in that it examines the delay analysis topic in all aspects such as prominent institutions, countries, authors and sources, synthesizes the data and highlights possible research domains, gaps and trends concerning the delay analysis topic in construction industry.

Computation semantics of the functional scientific workflow language Cuneiform

2017 ◽  
Vol 27 ◽  
Author(s):  
JÖRGEN BRANDT ◽  
WOLFGANG REISIG ◽  
ULF LESER
Keyword(s):  
Functional Programming ◽  
Large Scale ◽  
Type System ◽  
Black Box ◽  
Scientific Data ◽  
Scientific Workflow ◽  
Simple Type ◽  
Flexible Assembly ◽  
Data Intensive ◽  
Research Areas

AbstractCuneiform is a minimal functional programming language for large-scale scientific data analysis. Implementing a strict black-box view on external operators and data, it allows the direct embedding of code in a variety of external languages like Python or R, provides data-parallel higher order operators for processing large partitioned data sets, allows conditionals and general recursion, and has a naturally parallelizable evaluation strategy suitable for multi-core servers and distributed execution environments like Hadoop, HTCondor, or distributed Erlang. Cuneiform has been applied in several data-intensive research areas including remote sensing, machine learning, and bioinformatics, all of which critically depend on the flexible assembly of pre-existing tools and libraries written in different languages into complex pipelines. This paper introduces the computation semantics for Cuneiform. It presents Cuneiform's abstract syntax, a simple type system, and the semantics of evaluation. Providing an unambiguous specification of the behavior of Cuneiform eases the implementation of interpreters which we showcase by providing a concise reference implementation in Erlang. The similarity of Cuneiform's syntax to the simply typed lambda calculus puts Cuneiform in perspective and allows a straightforward discussion of its design in the context of functional programming. Moreover, the simple type system allows the deduction of the language's safety up to black-box operators. Last, the formulation of the semantics also permits the verification of compilers to and from other workflow languages.

scholarly journals The Scientific Landscape of November 23rd, 1980 Irpinia-Basilicata Earthquake: Taking Stock of (Almost) 40 Years of Studies

Geosciences ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 482
Author(s):  
Fabrizio Terenzio Gizzi ◽  
Maria Rosaria Potenza
Keyword(s):  
Web Of Science ◽  
Southern Italy ◽  
Methodological Approach ◽  
Temporal Trends ◽  
International Studies ◽  
Main Research ◽  
Italian Studies ◽  
Research Areas ◽  
Scientific Outputs ◽  
Natural Laboratory

The November 23rd, 1980 Irpinia-Basilicata (Southern Italy) earthquake is one of the strongest earthquakes ever occurred in Italy. The earthquake was a natural laboratory for the scientific community, which was engaged highly and promptly in investigating the event, thus publishing a flood of papers in different research areas over time. Just these research outputs are the focus of the article, which examines, with a tailored methodological approach, the international and national (Italian) studies started and advanced since the occurrence of the earthquake. First, we built and analyzed statistically two bibliographic databanks regarding the earthquake studies: (a) the international version of IRpinia Bibliographic databASE (IR_BASE_ENG), selecting and standardizing the pertinent scientific documents extracted from Scopus, Web of Science, and other databases and (b) the national version of the database (IR_BASE_IT) using the Google Scholar search engine to search for the most relevant papers in Italian. Second, IR_BASE_ENG was analyzed in a bibliometric perspective through the data mining VOSviewer software (Waltman et al., 2010) that builds co-occurrence term maps useful in perspective of investigating the wide-ranging studies on the earthquake. Third, taking a cue from this network analysis, we recognized the main research topics and performed a minireview of the related international studies, integrating in it a quick reference to the literature in Italian. Finally, we associated the scientific outputs to each cluster/topic, also performing the frequency analysis of the published documents for each subject, thus gaining information on the temporal trends of studies and getting a more exhaustive evidence of the scientific landscape on the earthquake over the last 40 years.

scholarly journals Evolution of the Socio-cognitive Structure of Knowledge Management (1986–2015): An Author Co-citation Analysis

2019 ◽  
Vol 4 (2) ◽  
pp. 36-55
Author(s):  
Carlos Luis González-Valiente ◽  
Magda León Santos ◽  
Ricardo Arencibia-Jorge
Keyword(s):  
Knowledge Management ◽  
Citation Analysis ◽  
Web Of Science ◽  
Cognitive Structure ◽  
Intellectual Structure ◽  
Homogeneous Field ◽  
Research Activities ◽  
Strategic Influence ◽  
Structure Of Knowledge ◽  
Practical Implications

Abstract Purpose The evolution of the socio-cognitive structure of the field of knowledge management (KM) during the period 1986–2015 is described. Design/methodology/approach Records retrieved from Web of Science were submitted to author co-citation analysis (ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships. Findings KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015. Research limitations Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research. Practical implications These results might be useful for managers and academicians to understand the evolution of KM field and to (re)define research activities and organisational projects. Originality/value The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.

scholarly journals Ten Years of Airbnb Phenomenon Research: A Bibliometric Approach (2010–2019)

2020 ◽  
Vol 12 (15) ◽  
pp. 6205 ◽  
Author(s):  
Julia M. Núñez-Tabales ◽  
Miguel Ángel Solano-Sánchez ◽  
Lorena Caridad-y-López-del-Río
Keyword(s):  
Concept Maps ◽  
Web Of Science ◽  
Fast Growth ◽  
Main Research ◽  
Research Areas ◽  
Data Source ◽  
New Research ◽  
Bibliometric Approach ◽  
The Web

The interest in the Airbnb phenomenon is represented in the fast growth of publications indexed in the Web of Science (WoS) since the research inception of this topic in 2010. However, there are no studies that analyze the incidence of this phenomenon from a bibliometric approach using WoS. Therefore, this paper aims to quantify the incidence and composition of the Airbnb phenomenon through bibliometrics taken it as a data source. To achieve this aim, the WoS statistical instruments and the bibliometric tool VOSviewer are used. The results obtained, such as the number of articles and citations per year, the main categories of these articles, the nationalities of the authors, the most productive institutions, the sources and authors in terms of publications, and the H-Core of the most cited articles, are presented. Finally, concept maps are exposed, representing the relatedness of co-authorship and co-citation among authors, as well as the co-occurrence of the keywords in the articles analyzed. Satisfaction, trust, and innovation appear as the main research lines. This paper can be useful for academics and professionals, giving them a holistic overview of the topic, identifying new research areas, or as an objective manner to literary review approaches.

scholarly journals ORIGIN AND EVOLUTION OF THE LEGITIMACY MANAGEMENT IN HIGHER EDUCATION

2020 ◽  
Vol 3 (2) ◽  
pp. 93-108 ◽  
Author(s):  
Ana Cruz-Suárez ◽  
Domenico Marino ◽  
Camilo Prado-Roman
Keyword(s):  
Higher Education ◽  
Research Field ◽  
Intellectual Structure ◽  
Current View ◽  
Origin And Evolution ◽  
Main Research ◽  
Research Areas ◽  
Sources Of Knowledge ◽  
Starting Point ◽  
State Of Research

What is being researched and which is the sources of knowledge? Those are questions that researchers ask in the construction of new scientific advances. Research on legitimacy and higher education has grown in recent years. This make difficult to get a current view of the situation in which this field of research is. The purpose of this research is to identify and visualize the current state of research in the field of legitimacy and higher education. Through a bibliometric methodology based on co-citations, the current intellectual structure of this research field is analyzed. Furthermore, the main research areas, the main contributors and the means of dissemination of this knowledge are identified. This work contributes to the development of the field of legitimacy and higher education by providing an integral vision of the situation of this domain, a starting point and an adequate theoretical basis for researchers to build new advances.

scholarly journals Land Use Changes in Iberian Peninsula 1990–2012

Land ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 99 ◽  
Author(s):  
David Fernández-Nogueira ◽  
Eduardo Corbelle-Rico
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Agricultural Intensification ◽  
Forest Cover ◽  
Land Use Changes ◽  
The Other ◽  
Corine Land Cover ◽  
Main Research ◽  
Research Questions ◽  
The One

This work aims to provide a comprehensive, wall-to-wall analysis of land use/cover changes in the continental areas of Portugal and Spain between 1990 and 2012. This overall objective is developed into two main research questions: (1) Whether differences between the extent and prevalence of changes exist between both countries and (2) which are the hotspots of change (areas where a given land use/cover transition dominates the landscape) in each country. We used Corine Land Cover in three different points in time (1990, 2000, 2012) to explore eight characteristic land cover transitions and carried out a cluster analysis at LAU2 level (municipalities in Spain, parishes in Portugal) that allowed to identify the areas in which each transition was dominant. The main findings include the decline of agricultural area and the increase of urbanized and artificial covers in both countries, but different trends followed by forest cover, with an increase in Spain and a decrease in Portugal. At the same time, the spatial analysis provided an overview of the main gradients of change related to tensions between agricultural intensification–extensification, on the one hand, and deforestation–afforestation, on the other.

Flipping the Best Journals in Accounting, Business, and Finance

2020 ◽  
pp. 1-21
Author(s):  
Luís Farinha ◽  
João Renato Sebastião ◽  
Carlos Sampaio ◽  
Mónica Régio
Keyword(s):  
Conceptual Framework ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Intellectual Structure ◽  
Future Research ◽  
Research Areas ◽  
Tree Of Knowledge ◽  
The 1950S ◽  
The Web

The literature on accounting, business, and finance, as a sub-area of the sciences of administration and management, has been receiving strong attention from researchers since the 1950s. This study´s main goal is to evaluate the nature and course of development of the literature on these research areas. A bibliometric analysis on the top journals published on the Web of Science and on the Scopus databases is conducted. Results synthesize the conceptual framework related to this area of science, identifying the roots of its intellectual structure, which give life to the respective tree of knowledge. New paths for future research are outlined.

Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis

2021 ◽  
pp. 193229682110055
Author(s):  
Fabian León-Vargas ◽  
Jineth Andrea Arango Oviedo ◽  
Héctor Javier Luna Wandurraga
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Artificial Pancreas ◽  
Knowledge Generation ◽  
Main Research ◽  
Research Areas ◽  
Glycemic Outcomes ◽  
Specific Search ◽  
Over Time

Background: Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analysis to recognize the main documents, type of publications, research categories, countries, keywords, organizations, and authors related to this topic. Methods: Web of Science core collection database was accessed from 2000 to 2020 in order to select high-quality scientific documents based on a specific search query. Bibexcel, MS Excel, Power BI, R-Studio, VOSviewer, and CorText software were used for a descriptive and network analysis based on the local database obtained. Bibliometric parameters as the h-index, frequencies, co-authorship and co-ocurrences were computed. Results: A total of 756 documents were included that show a growing scientific production on this topic with an increasing contribution from engineering. Outstanding authors, organizations, and countries were identified. An analysis of trends in research was conducted according to the scientific categories of the Web of Science database to identify the main research interests of the last 2 decades and the emerging areas with greater prominence in the coming years. A keyword network analysis allowed to identify the main stages in the development of the AP research over time. Conclusions: Results reveal a comprehensive background of the knowledge generation for the AP topic during the last 2 decades, which has been strengthened with international collaborations and a remarkable interdisciplinarity between endocrinology and engineering, giving rise to a growing number of research areas over time, where computer science and medical informatics stand out as the main emerging research areas.

INTEGRATION OF AUTHORITATIVE AND VOLUNTEERED GEOGRAPHIC INFORMATION FOR UPDATING URBAN MAPPING: CHALLENGES AND POTENTIALS

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 261-268
Author(s):  
V. O. Fernandes ◽  
E. N. Elias ◽  
A. Zipf
Keyword(s):  
Large Scale ◽  
Information Science ◽  
Web Of Science ◽  
Volunteered Geographic Information ◽  
Legal Aspects ◽  
Geographic Information ◽  
Physical Geography ◽  
Geographical Information ◽  
Research Areas ◽  
Urban Mapping

Abstract. This paper provides a bibliometric review between integration of authoritative and volunteered geographic information for the purpose of cartographic updating of urban mappings. The adopted methodology was through a bibliometric survey of the literature published by Web of Science and Science Direct. The period was evaluated from 2005 to 2020 and the keywords used were: integration of authoritative data, volunteered geographic information, VGI, large scale topographic mapping, Authoritative urban mapping. The number of publications found was small for the topic that deals with this integration, totalizing 14 articles at Web of Science and 23 at Science Direct. 38% of them were published in the International Journal of Geo Information (ISPRS), 16% in the International Journal of Geographical Information Science. 5% were published in the Cartography and Geographic Information Science and the Computer Geosciences respectively. The other 36% is shown in several other journals, approximately 3% each. Regarding the origin of publications, 25% are in Germany (University of Heidelberg), 14% in the UK (New Castle University), 13% in China (Wuhan University), 11% in Canada (Calgary University), and other countries show percentages between 3% and 5%. Among the research, areas are physical geography, remote sensing, computer science, information science, engineering, and public administration. Among themes addressed in the articles, potentials can be pointed out as existence of models which institutions can implement management of information received collaboratively, existence of several methodologies for quality control of this information so that they can be integrated into authoritative data that are called as data conflation. Methodologies for handling big data and semantic interoperability, as well as automation of processes. This data potential is not only on platforms such as OpenStreetMap, but also on data collected through scraping from social networks such as twitter, sites, and others. Among the challenges, there are still somethings to investigate regarding consideration of temporal, historic, political, and economic aspects, as well as the consideration of legal aspects. The integration of this volunteered geographic information is necessary, mainly in cities with economic and cultural difficulties to maintain their mapping up to date, as well as the difficulty of accessing information that allows access to authoritative data.

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