CorTexT platform
The CorTexT Platform is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE.
This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.
After the emergence and generalization of network analysis in many disciplines and its valorization in on-line bibliometric tools and then in many social media infrastructure of digital business, quali-quantitative of data bases and the booming of @datas is creating a new space for research. Designing and engineering solution for the analysis and the visualization of datasets represents a scientific and technological challenge. Moreover, the next step towards digital humanities does not address only a technological gap for social sciences; it also means the development of epistemic bargain between disciplines of social sciences, artificial intelligence and computing sciences since the complexity of research problem is increasing in relation to the profusion of new data.
Latest newsVIEW ALL
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Long trends on twitter: intertemporal clusters combining hashtags and terms on Scientometrics, Altmetrics, Bibliometrics and Science Of Science
Long trends on twitter: inter-temporal clusters combining hashtags and terms, for all tweets on Scientometrics, Altmetrics, Bibliometrics and Science Of Science from Jan. 2017 to dec. 2021, on a semester base. Query used to extract tweets: lang:en (Scientometrics OR “ScienceOfScience” OR “Science Of Science” OR “Altmetrics” OR “altmetric” OR “bibliometrics” OR “bibliometric” OR “citation metrics” […]
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Présenter CorTexT Manager en 2 minutes
Cortext Manager est une application web construite par des chercheurs et par des ingénieurs à destination de chercheurs en sciences humaines et sociales, au plus près des questions portées par les chercheurs qui nous entourent et par notre communauté d’utilisateurs. Cette application web peut produire un grand nombre d’analyses différentes qui ont trait aux champs […]
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Analysis of the scientific production that mentioned the use of CorText Manager
There are two ways to understand what CorTexT Manager is. The first one is to look at what has been achieved in terms of methods, tools and therefore lines of code. The second one is studied below, by analyzing (here with CorTexT Manager) what academic users have published using… CorTexT Manager. Our study of the […]
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10 years of CorText Manager v2
It took us more than 10 years to come with CorText Manager version 2 as it is now! Behind the scenes CorText Manager begun with a first version in 2009. More than thirty contributors has worked directly or indirectly on the two versions, year after year. All the ideas, inspirations, all this accumulation of pieces […]
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RISIS Training: Thematic and spatial analysis of technologies using CorText Manager and RISIS patent database
One of the best CorText Manager training courses was organized and offered by the RISIS project. Here is the program of this training which lasted 3 days: Monday 08/11/21 14h-16h30: Session 1 Session 1a: Introduction on patent analysis (60’) Introductory lecture session • Welcoming introduction (Philippe Larédo) 5’ • Type of patents documents (Antoine Schoen) […]
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Early 2021 CorText Manager training sessions
CorText organized a series of training workshops on CorText Manager and its methods in January 2021! These workshops were imagined as a staircase with three successive steps : Session 1: Introduction Session 2: Method comparisons Session 3: Research questions and work on user’s corpus For these sessions, the subject chosen for the demonstrations and exercises […]
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Seminar and workshop during the Summer School of PPGCI IBICT UFRJ, Rio de Janeiro – 03/2020
In March 2020, the LabEx SITES post-doctoral researcher, Ale Abdo, traveled to Rio de Janeiro and São Paulo to organize two trainings on textual analysis and on a new method he developed and integrated at the CorText Infrastructure, as well as to participate in discussions on open and citizen science in Brazil, including the discussion […]
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A CorText Manager distance training session in the framework of the nanocellulose project – Grenoble, June 2020
For complementing the RISIS access requested (to Leiden publications DB and RISIS patent DB) by the GAEL laboratory (UMR INRAE, CNRS, UGA, INPG), in the framework of a research project on nanocellulose, the CorText team has provided , in June and July 2020, an advanced training on the use of CorText. After setting up of […]
Latest scientific works using CorText Manager

2023
Journal Articles
Bañas, Karen; Robles, Miguel Enrico; Maniquiz-Redillas, Marla
Stormwater Harvesting from Roof Catchments: A Review of Design, Efficiency, and Sustainability Journal Article
In: Water, vol. 15, pp. 1774, 2023.
@article{Bañas2023,
title = {Stormwater Harvesting from Roof Catchments: A Review of Design, Efficiency, and Sustainability},
author = {Karen Bañas and Miguel Enrico Robles and Marla Maniquiz-Redillas},
url = {https://www.mdpi.com/2073-4441/15/9/1774
},
doi = {10.3390/w15091774},
year = {2023},
date = {2023-05-05},
journal = {Water},
volume = {15},
pages = {1774},
publisher = {MDPI},
abstract = {Roof runoff is collected rainwater from a roof using a rainwater harvesting system (RWHS). The construction of an efficient RWHS requires a thorough analysis of the rainwater quality and the appropriate treatment process for its intended use. In line with this, a bibliometric and comprehensive review of studies related to roof rainwater harvesting was conducted. A corpus of 1123 articles was downloaded from the Scopus database and parsed through the CorText Manager to determine the relationships between keywords, journals, and topics related to rainwater harvesting. A comprehensive analysis was also conducted to determine the different designs of RWHS, the quality of harvested rainwater from roof catchments, the efficiency of the system for specific purposes, and its sustainability in terms of economic, environmental, and social aspects. Results show that the effectiveness of a RWHS heavily depends on its installation site, the physicochemical characteristics of the harvested rainwater, and the acceptability of the end users. An effective water treatment process is essential for achieving better water quality for harvested rainwater. Moreover, assessing the financial viability and return on investment of an RWHS is necessary.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Xiao, Anran; Qin, Yong; Xu, Zeshui; Skare, Marinko
A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research Journal Article
In: Engineering Economics, vol. 34, iss. 2, pp. 175–192, 2023, ISSN: 1392-2785.
@article{Xiao2023,
title = {A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research},
author = {Anran Xiao and Yong Qin and Zeshui Xu and Marinko Skare},
url = {https://www.inzeko.ktu.lt/index.php/EE/article/view/30643},
doi = {https://doi.org/10.5755/j01.ee.34.2.30643 },
issn = {1392-2785},
year = {2023},
date = {2023-04-28},
journal = {Engineering Economics},
volume = {34},
issue = {2},
pages = {175–192},
abstract = {Big data technology has been widely used in entrepreneurial research in recent years. To explore the development trend and fundamental characteristics of big data in entrepreneurship (BDIE) research, we conduct a comprehensive bibliometric analysis of BDIE based on 541 publications between 1993 and 2020 from Web of Science. On the one hand, this paper focuses on some essential characteristics of the BDIE publications, such as categories, citation, H-index, and the most cited publications. On the other hand, visual scientific maps are presented by bibliometric tools, i.e., Bibliometrix, VOS viewer, and CorTexT Manager, showing relationships between publications and knowledge structure in BDIE research. Finally, hot topics in current studies, knowledge, and limitations are discussed, guiding scholars to explore new research directions. This paper provides a relatively broad perspective for applying BDIE research, which contributes to understanding the evolution of BDIE research and inspires scholars in related fields.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zou, Liuxin; Wu, Jiang; Gong, Yeming; Chen, Mingyang; Xia, Mengchen
Operations research on the sharing economy: A bibliometric analysis and literature review Journal Article
In: Electronic Commerce Research and Applications, pp. 101265, 2023, ISSN: 1567-4223.
@article{Zou2023,
title = {Operations research on the sharing economy: A bibliometric analysis and literature review},
author = {Liuxin Zou and Jiang Wu and Yeming Gong and Mingyang Chen and Mengchen Xia},
url = {https://www.sciencedirect.com/science/article/pii/S1567422323000303},
doi = {https://doi.org/10.1016/j.elerap.2023.101265},
issn = {1567-4223},
year = {2023},
date = {2023-04-26},
journal = {Electronic Commerce Research and Applications},
pages = {101265},
abstract = {Previous studies on the sharing economy have not utilized bibliometrics to classify the main stakeholders from the perspective of operations research (OR). In this study, we utilize the bibliometric method to review the supply side, demand side, the platform, and their optimization models. Based on the bibliometric network, we propose a complete multi-level framework to study the optimization decisions of stakeholders and the key factors that may influence optimal decisions in the sharing economy. The pricing, behavioral characteristics, operating strategies, and incentive methods of the three stakeholders will affect the optimal decisions and models. Multi-party interaction significantly affects the decision-making behavior of stakeholders. The sharing economy introduces a new business model to traditional industrial applications, such as transportation and trade, and has both positive and negative effects on the economy, environment, and society. We identify future research in the ecosystem of the sharing economy, hybrid methods, and breakthrough technologies, such as blockchain, AI, and data-driven optimization.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Scherngell, Thomas; Schwegmann, Katharina; Zahradnik, Georg
The geographical dynamics of global R&D collaboration networks in robotics: Evidence from co-patenting activities across urban areas worldwide Journal Article
In: PLOS ONE, 2023.
@article{Scherngell2023,
title = {The geographical dynamics of global R&D collaboration networks in robotics: Evidence from co-patenting activities across urban areas worldwide},
author = { Thomas Scherngell and Katharina Schwegmann and Georg Zahradnik},
editor = {Celine Rozenblat from University of Lausanne SWITZERLAND},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281353},
doi = {https://doi.org/10.1371/journal.pone.0281353},
year = {2023},
date = {2023-04-13},
urldate = {2023-04-13},
journal = {PLOS ONE},
abstract = {The focus of this study is on the geography of robotics Research and Development (R&D) activities. The objectives are, first, to identify hotspots in robotics R&D worldwide, and second, to characterise structures and dynamics of global robotics R&D collaboration networks through detailed geographical lenses of global urban areas. We use patents as marker for R&D activities, and accordingly focus on technologically oriented R&D, drawing on information from patents applied for between 2002 and 2016. We employ an appropriate search strategy to identify relevant robotics patents based on detailed levels of the Cooperative Patent Classification (CPC) and assign patents to more than 900 global urban areas based on the inventor addresses. The co-patent networks are examined from a Social Network Analysis (SNA) perspective by means of robotics co-patents, contributing to a global network where urban areas are the nodes inter-linked by joint inventive activities recorded in robotics patents. Global SNA measures illustrate structures and dynamics of the network as a whole, while local measures indicate the specific positioning and roles of urban areas in the network. The results are original in characterising the global spatial emergence of this generic new industry, highlighting prominent urban hotspots in terms of specialisation in robotics R&D, pointing to a global shift reflected by the increasing role of emerging economies, in particular China. The global robotics R&D has grown significantly both in total patenting and also in terms of R&D collaboration activities between urban areas. Also, for the networks, growth is not equally distributed, but is rather characterised by significant spatial shifts, both in terms of cities declining or climbing up the specialisation ranking, but even more in terms of the spatial network structure.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
CorText Newsfeed

Providing useful tools, data, methods or algorithms, has been one of the main goals of CorText Team. Therefore, CorText Newsfeed is there to put emphasis on some of our recent activities. We want it to be simple and fast reading so you would be able to pick relevant information for your own work.
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