Science mapping software tools: Review, analysis, and cooperative study among tools
By Manuel Jesus Cobo, Antonio Gabriel López-Herrera, Enrique Herrera-Viedma, Francisco Herrera. J. Assoc. Inf. Sci. Technol., 2011
2,777 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/0b4c513b66754d5e7c700508629e2d28b1061609
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Chaomei Chen
- José A. Folgado-Fernández
- Pedro R. Palos-Sanchez
- Jerome K. Vanclay
- Mario A. Rojas-Sánchez
- Apichat Sopadang
- S. Wichaisri
- José M. Merigó
In Information Systems
- Chaomei Chen
- Fabio Blanco-Mesa
- Zhigang Hu
- Min Song
- Zeshui Xu
- Anna Maria Gil Lafuente
- Jerome K. Vanclay
- Ming Cui
In Information Systems and Management
- Meen Chul Kim
- Rachael Dubin
- Nooria Yari
- Chaomei Chen
- Erik Lankut
- José A. Folgado-Fernández
- Pedro R. Palos-Sanchez
- Min Song
Citations in the corpus
- A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019) (2020, methodology): “Science mapping analysis is one of the most important methods in bibliometrics, because it helps scholars understand research trends greatly and intuitively see the structure and the trend of a research field or a journal (Cobo et al., 2011).”
- Bibliometric visualisation: an application in tourism crisis and disaster management research (2019, methodology): “Furthermore, CiteSpace can use ‘burst detection’ (Kleinberg, 2003) to identify keywords and sources that receive a high ‘burst’ of citations during specific time periods (Cobo et al., 2011).”
- Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis (2015, background): “citation analysis to detect the interconnections among scholars and the intellectual structure of a scientific research field (Chen 2006; Cobo et al. 2011).”
- Some bibliometric procedures for analyzing and evaluating research fields (2017, neutral): “Several analysis techniques could be applied to yield useful knowledge [15]: network analysis [18], longitudinal analysis [30], performance analysis, etc.”
- Forty years of Computers & Industrial Engineering: A bibliometric analysis (2017, neutral): “mapping studies of the bibliographic data (Cobo et al. 2011).”
- Cultural intelligence, global mindset, and cross-cultural competencies: a systematic review using bibliometric methods (2020, methodology): “, 2009) to check for spelling errors, incorrect author names, and duplicates (Cobo et al., 2011) and used the default functions provided.”
- Fuzzy decision making: A bibliometric-based review (2017, methodology): “Therefore, we use mapping science in order to analyse the structure of this field of research [18].”
- Global Research on Carbon Emissions: A Scientometric Review (2019, methodology): “This was followed by an analysis of useful information of the domain, which displays “the conceptual, intellectual, or social evolution of the research field, discovering patterns, trends, seasonality, and outliers” [46].”