Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications

• Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.

  Article  Google Scholar 

• Aria, M., & Cuccurullo, C. (2018) bibliometrix v 2.0.2, reference manual. Accessed December 17, 2018.

• Bailón-Moreno, R., Jurado-Alameda, E., & Ruiz-Baños, R. (2006). The scientific network of surfactants: Structural analysis. Journal of the American Society for Information Science and Technology, 57(7), 949–960.

  Article  Google Scholar 

• Boerner, K., Huang, W., Linnemeier, M., Duhon, R. J., Phillips, P., Ma, N., et al. (2010). Rete-netzwerk-red: Analyzing and visualizing scholarly networks using the Network Workbench Tool. Scientometrics, 83(3), 863–876.

  Article  Google Scholar 

• Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377.

  Article  Google Scholar 

• Ciftler, B. S., Kadri, A., & Guevenc, I. (2017). IoT localization for bistatic passive UHF RFID systems with 3-D radiation pattern. IEEE Internet of Things Journal, 4(4, SI), 905–916.

  Article  Google Scholar 

• Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics, 5(1), 146–166.

  Article  Google Scholar 

• Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011b). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.

  Article  Google Scholar 

• Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630.

  Article  Google Scholar 

• Gezer, C., & Taskin, E. (2016). An Overview of oneM2M standard. In 2016 24th signal processing and communication application conference (SIU) (pp. 1705–1708). IEEE; Bulent Ecevit University, Department of Electrical and Electronic Engineering; Bulent Ecevit University, Department of Biomedical Engineering; Bulent Ecevit University, Department of Computer Engineering, Zonguldak, Turkey, May 16–19, 2016.

• Grauwin, S., & Jensen, P. (2011). Mapping scientific institutions. Scientometrics, 89(3), 943–954.

  Article  Google Scholar 

• Harzing, A.-W. (2014). A longitudinal study of Google Scholar coverage between 2012 and 2013. Scientometrics, 98(1), 565–575.

  Article  Google Scholar 

• Kim, J., Lim, H., Han, S., Jung, Y., & Lee, S. (2016). Compensation algorithm for misrecognition caused by hard pressure touch in plastic cover capacitive touch screen panels. Journal of Display Technology, 12(12), 1623–1628.

  Article  Google Scholar 

• Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373–397.

  Article  MathSciNet  Google Scholar 

• Lewis, D. M., & Alpi, K. M. (2017). Bibliometric network analysis and visualization for serials librarians: An introduction to Sci2. Serials Review, 43(3–4, SI), 239–245.

  Article  Google Scholar 

• Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19.

  Article  Google Scholar 

• Moulin, T., & Simon, P. (2016). e-Health—The internet of things and telemedicine. Correspondances en Metabolismes Hormones Diabetes et Nutrition, 20(3), 58–64.

  Google Scholar 

• Munoz-Organero, M., Ramirez, G. A., Munoz-Merino, P. J., & Kloos, C. D. (2011). Framework for contextualized learning ecosystems. In C. D. Kloos, D. Gillet, R. M. G. Garcia, F. Wild, & M. Wolpers (Eds.), Towards ubiquitous learning, EC-TEL 2011, volume 6964 of Lecture Notes in Computer Science. 6th European conference on technology-enhanced learning (EC-TEL), Palermo, Italy, September 20–23, 2011.

• Paethong, P., Sato, M., & Namiki, M. (2016). Low-power distributed NoSQL database for IoT middleware. In J. L. Mitrpanont (Ed.), 2016 Fifth ICT international student project conference (ICT-ISPC) (pp. 158–161). ICT; Mahidol University, Faculty of Information and Communication Technology; TAT; Universiti Teknologi Malaysia. 5th ICT international student project conference (ICT-ISPC), Nakhon Pathom, Thailand, May 27–28, 2016.

• Persson, O., Danell, R., & Schneider, J. W. (2009). How to use Bibexcel for various types of bibliometric analysis. In F. Åström, R. Danell, B. Larsen, & J. W. Schneider (Eds.), Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday (Vol. 5, pp. 9–24). Berlin: International Society for Scientometrics and Informetrics.

  Google Scholar 

• Ruiz-Rosero, J., Ramirez-Gonzalez, G., Williams, J. M., Liu, H., Khanna, R., & Pisharody, G. (2017). Internet of things: A scientometric review. Symmetry-Basel, 9(12), 301.

  Article  Google Scholar 

• Savaglio, C., & Fortino, G. (2015). Autonomic and cognitive architectures for the Internet of things. In G. DiFatta, G. Fortino, W. Li, M. Pathan, F. Stahl, & A. Guerrieri (Eds.), Internet and distributed computing systems, IDCS 2015, volume 9258 of Lecture Notes in Computer Science (pp. 39–47). 8th annual international conference on internet and distributed computing systems (IDCS), Windsor, England, September 02–04, 2015.

• Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38(2), 275–293.

  Article  Google Scholar 

• van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

  Article  Google Scholar 

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