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Bibliometric Characteristics of Highly Cited Papers on Internet of Things Assessed with Essential Science Indicators

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Internet of Things

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 305))

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Abstract

The Internet of Things (IoT) has been undergoing a rapid development and has obtained increasing visibility. A large number of scientific research achievements have been published. This study aims to provide a bibliometric review for highly cited papers in the field of IoT using the Essential Science Indicators, a widely used database to evaluate scientific outputs. Through the retrieval process, 388 papers were identified as highly cited papers. Based on these 388 papers, we analyze their characteristics from four perspectives: annual and discipline distributions; productive players in terms of journals, countries, institutes, and authors; top 15 most cited papers; and author keyword analysis. Interesting results are given after the analyses. Through author keyword analysis, we also provide research trends of the IoT for future study. It is hoped that our work will be helpful for practitioners and scholars who are interesting in the IoT.

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References

  1. Ashton, K. (2009). That ‘internet of things’ thing. RFID Journal, 22(7), 97–114.

    Google Scholar 

  2. Macedo, E. L. C., de Oliveira, E. A. R., Silva, F. H., et al. (2019). On the security aspects of Internet of Things: A systematic literature review. Journal of Communications and Networks, 21(5), 445–457.

    Article  Google Scholar 

  3. Nord, J. H., Koohang, A., & Paliszkiewicz, J. (2019). The Internet of Things: Review and theoretical framework. Expert Systems with Applications, 133, 97–108.

    Article  Google Scholar 

  4. Macedo, E. L. C., et al. (2019). On the security aspects of Internet of Things: A systematic literature review. Journal of Communications and Networks, 21(5), 444–457.

    Article  Google Scholar 

  5. Yang, H., Kumara, S., Bukkapatnam, S. T. S., & Tsung, F. (2019). The internet of things for smart manufacturing: A review. IISE Transactions, 51(11), 1190–1216.

    Article  Google Scholar 

  6. Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742.

    Article  Google Scholar 

  7. Bedi, G., Venayagamoorthy, G. K., Singh, R., Brooks, R. R., & Wang, K. C. (2018). Review of Internet of Things (IoT) in electric power and energy systems. IEEE Internet of Things Journal, 5(2), 847–870.

    Article  Google Scholar 

  8. Mishra, D., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Dubey, R., & Wamba, S. (2016). Vision, applications and future challenges of Internet of Things: A bibliometric study of the recent literature. Industrial Management & Data Systems, 116(7), 1331–1355.

    Article  Google Scholar 

  9. Nobre, G. C., & Tavares, E. (2017). Scientific literature analysis on big data and internet of things applications on circular economy: A bibliometric study. Scientometrics, 111(1), 463–492.

    Article  Google Scholar 

  10. Kaba, A., & Ramaiah, C. K. (2019). Bibliometric analysis of research output on the Internet of Things in the Arab world. DESIDOC Journal of Library & Information Technology, 39(5), 222–229.

    Article  Google Scholar 

  11. Liao, H. C., Tang, M., Li, Z. M., & Lev, B. (2019). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators. Omega, 88, 223–236.

    Article  Google Scholar 

  12. Zhang, N., Wan, S. S., Wang, P. L., Zhang, P., & Wu, Q. (2018). A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database. Scientometrics, 116(2), 1039–1053.

    Article  Google Scholar 

  13. Chuang, K. Y., Wang, M. H., & Ho, Y. S. (2011). High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information. Scientometrics, 87, 551–562.

    Article  Google Scholar 

  14. Furnham, A. (2020). What I have learned from my Google Scholar and H index. Scientometrics, 122(2), 1249–1254.

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  17. Zhai, T., & Di, L. Z. (2019). Information mining and visualization of highly cited papers on type-2 diabetes mellitus from ESI. Current Science, 116(12), 1965.

    Article  Google Scholar 

  18. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805.

    Article  Google Scholar 

  19. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.

    Article  Google Scholar 

  20. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communication Surveys and Tutorials, 17(4), 2347–2376.

    Article  Google Scholar 

  21. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.

    Article  Google Scholar 

  22. Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497–1516.

    Article  Google Scholar 

  23. Xu, L. D., He, W., & Li, S. C. (2014). Internet of Things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243.

    Article  Google Scholar 

  24. Bobadilla, J., Ortega, F., Hernando, A., & Gutierrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109–132.

    Article  Google Scholar 

  25. Chen, M., Mao, S. W., & Liu, Y. H. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171–209.

    Article  Google Scholar 

  26. Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014). Context aware computing for the Internet of Things: A survey. IEEE Communication Surveys and Tutorials, 16(1), 414–454.

    Article  Google Scholar 

  27. Dai, L. L., Wang, B. C., Yuan, Y. F., Han, S. F., Chih-Lin, I., & Wang, Z. C. (2015). Non-orthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends. IEEE Communications Magazine, 53(9), 74–81.

    Article  Google Scholar 

  28. Ganti, R. K., Ye, F., & Lei, H. (2011). Mobile crowdsensing: Current state and future challenges. IEEE Communications Magazine, 49(11), 32–39.

    Article  Google Scholar 

  29. Shi, W. S., Cao, J., Zhang, Q., Li, Y. H. Z., & Xu, L. Y. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.

    Article  Google Scholar 

  30. Stankovic, J. A. (2014). Research directions for the Internet of Things. IEEE Internet of Things Journal, 1(1), 3–9.

    Article  Google Scholar 

  31. Gupta, A., & Jha, R. K. (2015). A survey of 5G network: Architecture and emerging technologies. IEEE Access, 3, 1206–1232.

    Article  Google Scholar 

  32. Botta, A., de Donato, W., Persico, V., & Pescape, A. (2016). Integration of cloud computing and Internet of Things: A survey. Future Generation Computer Systems, 56, 684–700.

    Article  Google Scholar 

  33. Uddin, S., Khan, A., & Baur, L. A. (2015). A framework to explore the knowledge structure of multidisciplinary research fields. Public Library of Science, 10(4), e0123537.

    Google Scholar 

  34. Uddin, S., & Khan, A. (2016). The impact of author-selected keywords on citation counts. Journal of Informetrics, 10, 1166–1177.

    Article  Google Scholar 

  35. Wang, L., Von Laszewski, G., Younge, A., He, X., Kunze, M., Tao, J., & Fu, C. (2010). Cloud computing: A perspective study. New Generation Computing, 28(2), 137–146.

    Article  Google Scholar 

  36. Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2014). On the integration of cloud computing and Internet of Things. 2014 International Conference on Future Internet of Things and Cloud, 23–30. Barcelona, Spain.

    Google Scholar 

  37. Alrawais, A., Alhothaily, A., Hu, C. Q., & Cheng, X. Z. (2017). Fog computing for the Internet of Things: Security and privacy issues. IEEE Internet Computing, 21(2), 34–42.

    Article  Google Scholar 

  38. Li, G. J., & Cheng, X. Q. (2012). Research status and scientific thinking of big data. Bulletin of the Chinese Academy of Sciences, 6, 647–657.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Ming Tang & Huchang Liao

Authors
  1. Ming Tang
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  2. Huchang Liao
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Editors and Affiliations

  1. Ingenium Research Group, ETSI Industriales de Ciudad Real, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. LeBow College of Business, Drexel University, Decision Sciences and MIS, Philadelphia, PA, USA

    Benjamin Lev

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Tang, M., Liao, H. (2021). Bibliometric Characteristics of Highly Cited Papers on Internet of Things Assessed with Essential Science Indicators. In: García Márquez, F.P., Lev, B. (eds) Internet of Things. International Series in Operations Research & Management Science, vol 305. Springer, Cham. https://doi.org/10.1007/978-3-030-70478-0_4

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