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Bibliometric monitoring of research performance in ICT-based disaster management literature

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Abstract

The increasing diffusion of Information Communication Technologies (ICT) in the domain of disaster management depicts the catalyzed efforts and interests of nations for achieving sustainable disaster-related solutions. This momentum has resulted in the increased growth of research production, and interest of various communities, in the domain of ICT-based disaster management. Henceforth, the profound popularity of this domain requires a quantitative analysis to understand the evolution, development, and status quo of the domain. This paper presents a decade long bibliometric analysis of the ICT-based disaster management domain by analyzing the Scopus indexed research documents published during the period 2009–2018. The study explores the various bibliometric patterns: publication, citation, and keyword occurrence, and visualizes the core bibliometric aspects, of the research conducted in the domain. This study helps in understanding the development, nature, social relevance, and impact of the domain, and providing a platform for deciding future agendas and roadmap for the interested communities and nations.

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References

  • Aktas, F., Ceken, C., Erdemli, Y.E.: IoT-based healthcare framework for biomedical applications. J. Med. Biol. Eng. 38(6), 966–979 (2018)

    Google Scholar 

  • Alam, F., Mehmood, R., Katib, I., Albogami, N.N., Albeshri, A.: Data fusion and iot for smart ubiquitous environments: a survey. IEEE Access 5, 9533–9554 (2017)

    Google Scholar 

  • Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 36–44. Association for Computational Linguistics (2010)

  • CRED: Dat: The International Disasters Database (2019). https://www.emdat.be/. Accessed 18 Apr 2020

  • Da Xu, L., He, W., Li, S.: Internet of things in industries: a survey. IEEE Trans. Ind. Inf. 10(4), 2233–2243 (2014)

    Google Scholar 

  • Darko, A., Chan, A.P., Adabre, M.A., Edwards, D.J., Hosseini, M.R., Ameyaw, E.E.: Artificial intelligence in the AEC industry: scientometric analysis and visualization of research activities. Autom. Constr. 112, 103081 (2020)

    Google Scholar 

  • Dong, R., Li, L., Zhang, Q., Cai, G.: Information diffusion on social media during natural disasters. IEEE Trans. Comput. Soc. Syst. 5(1), 265–276 (2018)

    Google Scholar 

  • Egghe, L., Rousseau, R.: Introduction to Informetrics: Quantitative Methods in Library, Documentation and Information Science. Elsevier Science Publishers, Amsterdam (1990)

    Google Scholar 

  • El-Din, H.M.A., Eldin, A.S., Hanora, A.M.: Bibliometric analysis of Egyptian publications on Hepatitis C virus from pubmed using data mining of an in-house developed database (HCVDBegy). Scientometrics 108(2), 895–915 (2016)

    Google Scholar 

  • Erdelj, M., Król, M., Natalizio, E.: Wireless sensor networks and multi-UAV systems for natural disaster management. Comput. Netw. 124, 72–86 (2017)

    Google Scholar 

  • Erdelj, M., Natalizio, E., Chowdhury, K.R., Akyildiz, I.F.: Help from the sky: leveraging UAVs for disaster management. IEEE Pervasive Comput. 16(1), 24–32 (2017)

    Google Scholar 

  • Fernandez-Luque, L., Imran, M.: Humanitarian health computing using artificial intelligence and social media: a narrative literature review. Int. J. Med. Inf. 114, 136–142 (2018)

    Google Scholar 

  • Fleming, I., Baum, A.: The role of prevention in technological catastrophe. J. Prev. Interv. Community 4(1–2), 139–152 (1985)

    Google Scholar 

  • Goodchild, M.F., Glennon, J.A.: Crowdsourcing geographic information for disaster response: a research frontier. Int. J. Digit. Earth 3(3), 231–241 (2010)

    Google Scholar 

  • Gopikuttan, A.: Ph.D. thesis, University of Kerala (2004). http://hdl.handle.net/10603/97595. Accessed 18 Apr 2020

  • Goswami, S., Chakraborty, S., Ghosh, S., Chakrabarti, A., Chakraborty, B.: A review on application of data mining techniques to combat natural disasters. Ain Shams Eng. J. 9(3), 365–378 (2018)

    Google Scholar 

  • Guha-Sapir, D., Vos, F., Below, R., Ponserre, S.: Annual disaster statistical review 2011: the numbers and trends. Technical Report, Centre for Research on the Epidemiology of Disasters (CRED) (2012)

  • Guille, A., Hacid, H., Favre, C., Zighed, D.A.: Information diffusion in online social networks: a survey. ACM Sigmod Rec. 42(2), 17–28 (2013)

    Google Scholar 

  • Hawtin, K., Gardner-Stephen, P.: Self-configuring heterogeneous hf/uhf/wi-fi disaster communications networks. In: 2017 IEEE Global Humanitarian Technology Conference (GHTC), pp. 1–10. IEEE (2017)

  • Heilig, L., Voß, S.: A scientometric analysis of cloud computing literature. IEEE Trans. Cloud Comput. 2(3), 266–278 (2014)

    Google Scholar 

  • Hirsch, J.: An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics 85(3), 741–754 (2010)

    Google Scholar 

  • Hobbs, S., Paull, D., Clarke, J.: Testing ground-based robotics as remote-sensing platforms for structure from motion-implications for planetary science. Int. J. Remote Sens. 39(18), 5770–5793 (2018)

    Google Scholar 

  • Holsapple, C.W., Johnson, L.E., Manakyan, H., Tanner, J.: Business computing research journals: a normalized citation analysis. J. Manag. Inf. Syst. 11(1), 131–140 (1994)

    Google Scholar 

  • Hood, W., Wilson, C.: The literature of bibliometrics, scientometrics, and informetrics. Scientometrics 52(2), 291–314 (2001)

    Google Scholar 

  • Hoque, M.A.A., Phinn, S., Roelfsema, C., Childs, I.: Tropical cyclone disaster management using remote sensing and spatial analysis: a review. Int. J. Disaster Risk Reduct. 22, 345–354 (2017)

    Google Scholar 

  • Hulme, E.W., et al.: Statistical bibliography in relation to the growth of modern Civilization: two lectures delivered in the university of cambridge in may, 1922. Printed for the author by Butler & Tanner; Grafton & Co, London (1923)

    Google Scholar 

  • Imran, M., Castillo, C., Diaz, F., Vieweg, S.: Processing social media messages in mass emergency: a survey. ACM Comput. Surv. (CSUR) 47(4), 67 (2015)

    Google Scholar 

  • Kim, J., Hastak, M.: Social network analysis: characteristics of online social networks after a disaster. Int. J. Inf. Manag. 38(1), 86–96 (2018)

    Google Scholar 

  • Kittur, A., Nickerson, J.V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., Horton, J.: The future of crowd work. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, pp. 1301–1318. ACM (2013)

  • Lancaster, F.W.: Bibliometric methods in assessing productivity and impact of research. Sarada Ranganathan Endowment for Library Science (1991)

  • Lemons, H.: Physical characteristics of disasters: historical and statistical review. Ann. Am. Acad. Polit. Soc.Sci. 309(1), 1–14 (1957)

    Google Scholar 

  • Lewis, D.M., Alpi, K.M.: Bibliometric network analysis and visualization for serials librarians: an introduction to Sci2. Ser. Rev. 43(3–4), 239–245 (2017)

    Google Scholar 

  • Library guides: Database Comparisons: Google scholar, Scopus, Web of Science (2019). https://instr.iastate.libguides.com/c.php?g=901522&p=6492159. Accessed 18 Apr 2020

  • Li, X., Ma, E., Qu, H.: Knowledge mapping of hospitality research—a visual analysis using citespace. Int. J. Hosp. Manag. 60, 77–93 (2017)

    Google Scholar 

  • Liaqat, M., Chang, V., Gani, A., Ab Hamid, S.H., Toseef, M., Shoaib, U., Ali, R.L.: Federated cloud resource management: review and discussion. J. Netw. Comput. Appl. 77, 87–105 (2017)

    Google Scholar 

  • Liu, M., Zhu, J., Zhu, Q., Qi, H., Yin, L., Zhang, X., Feng, B., He, H., Yang, W., Chen, L.: Optimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems. Int. J. Geogr. Inf. Sci. 31(9), 1891–1906 (2017)

    Google Scholar 

  • Liu, T., Deng, Y., Chan, F.: Evidential supplier selection based on dematel and game theory. Int. J. Fuzzy Syst. 20(4), 1321–1333 (2018)

    Google Scholar 

  • Lovejoy, K., Saxton, G.D.: Information, community, and action: how nonprofit organizations use social media. J. Comput. Mediat. Commun. 17(3), 337–353 (2012)

    Google Scholar 

  • Scopus (2019). https://www.scopus.com/. Accessed: 18 Apr 2020

  • Mardani, A., Jusoh, A., Zavadskas, E.K.: Fuzzy multiple criteria decision-making techniques and applications-two decades review from 1994 to 2014. Expert Syst. Appl. 42(8), 4126–4148 (2015)

    Google Scholar 

  • Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A.S., Kadri, A., Tuncer, A.: UAV-enabled intelligent transportation systems for the smart city: applications and challenges. IEEE Commun. Mag. 55(3), 22–28 (2017)

    Google Scholar 

  • Motlagh, N.H., Taleb, T., Arouk, O.: Low-altitude unmanned aerial vehicles-based internet of things services: comprehensive survey and future perspectives. IEEE Internet Things J. 3(6), 899–922 (2016)

    Google Scholar 

  • Nakayama, Y., Maruta, K., Tsutsumi, T., Sezaki, K.: Wired and wireless network cooperation for wide-area quick disaster recovery. IEEE Access 6, 2410–2424 (2017)

    Google Scholar 

  • Nalimov, V., Mulchenko, Z.: Scientometrics. The Study of the Development of Science as an Information Process. Science, Moskow (1969)

  • Nguyen, D.T., Al Mannai, K.A., Joty, S., Sajjad, H., Imran, M., Mitra, P.: Robust classification of crisis-related data on social networks using convolutional neural networks. In: Eleventh International AAAI Conference on Web and Social Media (2017)

  • NIDM: Understanding Disasters. National Institute of Disaster Management (2019). https://nidm.gov.in/PDF/Disaster_about.pdf. Accessed 18 Apr 2020

  • Ning, S., Li, X.: A scientometric review of emerging trends in green manufacturing. In: International Conference on Management Science and Engineering Management, pp. 234–247. Springer (2019)

  • Nishiyama, H., Suto, K., Kuribayashi, H.: Cyber physical systems for intelligent disaster response networks: conceptual proposal and field experiment. IEEE Netw. 31(4), 120–128 (2017)

    Google Scholar 

  • Nunes, I.L., Lucas, R., Simões-Marques, M., Correia, N.: Augmented reality in support of disaster response. In: International Conference on Applied Human Factors and Ergonomics, pp. 155–167. Springer (2017)

  • Oksuz, M.K., Satoglu, S.I.: A two-stage stochastic model for location planning of temporary medical centers for disaster response. Int. J. Disaster Risk Reduct. 44, 101426 (2020)

    Google Scholar 

  • Ozturk, G.B.: Interoperability in building information modeling for AECO/FM industry. Autom. Constr. 113, 103122 (2020)

    Google Scholar 

  • Panteras, G., Cervone, G.: Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring. Int. J. Remote sens. 39(5), 1459–1474 (2018)

    Google Scholar 

  • Perera, C., Qin, Y., Estrella, J.C., Reiff-Marganiec, S., Vasilakos, A.V.: Fog computing for sustainable smart cities: a survey. ACM Comput. Surv. (CSUR) 50(3), 32 (2017)

    Google Scholar 

  • Plokhy, S.: Chernobyl Disaster: Deaths, Environmental Damage Continue (2018). https://time.com/5255663/chernobyl-disaster-book-anniversary/. Accessed 18 Apr 2020

  • Poblet, M., García-Cuesta, E., Casanovas, P.: Crowdsourcing roles, methods and tools for data-intensive disaster management. Inf. Syst. Front. 20(6), 1363–1379 (2018)

    Google Scholar 

  • Portugal, I., Alencar, P., Cowan, D.: The use of machine learning algorithms in recommender systems: a systematic review. Expert Syst. Appl. 97, 205–227 (2018)

    Google Scholar 

  • Pritchard, A., et al.: Statistical bibliography or bibliometrics. J. Doc. 25(4), 348–349 (1969)

    Google Scholar 

  • Qiu, L., Du, Z., Zhu, Q., Fan, Y.: An integrated flood management system based on linking environmental models and disaster-related data. Environ. Model. Softw. 91, 111–126 (2017)

    Google Scholar 

  • Ragini, J.R., Anand, P.R., Bhaskar, V.: Big data analytics for disaster response and recovery through sentiment analysis. Int. J. Inf. Manag. 42, 13–24 (2018)

    Google Scholar 

  • Rosser, J.F., Leibovici, D., Jackson, M.: Rapid flood inundation mapping using social media, remote sensing and topographic data. Nat. Hazards 87(1), 103–120 (2017)

    Google Scholar 

  • Rutherford, W., De Boer, J.: The definition and classification of disasters. Injury 15(1), 10–12 (1983)

    Google Scholar 

  • Saheb, T., Izadi, L.: Paradigm of IoT big data analytics in the healthcare industry: A review of scientific literature and mapping of research trends. Telemat. Inf. 41, 70–85 (2019). https://doi.org/10.1016/j.tele.2019.03.005

  • Savov, P., Jatowt, A., Nielek, R.: Identifying breakthrough scientific papers. Inf. Process. Manag. 57(2), 102168 (2020)

    Google Scholar 

  • Schwarze, S., Voß, S., Zhou, G., Zhou, G.: Scientometric analysis of container terminals and ports literature and interaction with publications on distribution networks. In: Hu, H., Shi, X., Stahlbock, R., Voß, S. (eds.) Computational Logistics, pp. 33–52. Springer, Berlin (2012)

    Google Scholar 

  • Senaratne, H., Mobasheri, A., Ali, A.L., Capineri, C., Haklay, M.: A review of volunteered geographic information quality assessment methods. Int. J. Geogr. Inf. Sci. 31(1), 139–167 (2017)

    Google Scholar 

  • Şenel, E.: Health and ancient beliefs: a scientometric analysis of health literature related to shamanism, paganism and spirituality. J. Relig. Health 58, 2019–2035 (2019). https://doi.org/10.1007/s10943-019-00823-9

    Article  Google Scholar 

  • Sengupta, I.: Bibliometrics: a bird’s eye view. IASLIC Bull. 30(4), 167–174 (1985)

    Google Scholar 

  • Serenko, A., Bontis, N.: Meta-review of knowledge management and intellectual capital literature: citation impact and research productivity rankings. Knowl. Process Manag. 11(3), 185–198 (2004)

    Google Scholar 

  • Sherchan, W., Nepal, S., Paris, C.: A survey of trust in social networks. ACM Comput. Surv. (CSUR) 45(4), 47 (2013)

    Google Scholar 

  • Simões-Marques, M.J.: Facing disasters“trends in applications to support disaster management. In: Nunes, I.L. (ed) Advances in Human Factors and System Interactions, pp. 203–215. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-41956-5_19

    Chapter  Google Scholar 

  • Small, H.: Co-citation in the scientific literature: a new measure of the relationship between two documents. J. Am. Soc. Inf. Sci. 24(4), 265–269 (1973)

    Google Scholar 

  • Su, Z., Xu, Q., Luo, J., Pu, H., Peng, Y., Lu, R.: A secure content caching scheme for disaster backup in fog computing enabled mobile social networks. IEEE Trans. Ind. Inf. 14(10), 4579–4589 (2018)

    Google Scholar 

  • Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment in Twitter events. J. Am. Soc. Inf. Sci. Technol. 62(2), 406–418 (2011)

    Google Scholar 

  • Tho, S.W., Yeung, Y.Y., Wei, R., Chan, K.W., So, W.W.M.: A systematic review of remote laboratory work in science education with the support of visualizing its structure through the histcite and citespace software. Int. J. Sci. Math. Educ. 15(7), 1217–1236 (2017)

    Google Scholar 

  • Tijssen, R.J.W., De Leeuw, J.: Multivariate data-analysis methods in bibliometric studies of science and technology. In: Van Raan A.F.J. (ed) Handbook of Quantitative Studies of Science and Technology, pp. 705–740. Elsevier, Amsterdam (1988). https://doi.org/10.1016/B978-0-444-70537-2.50026-X

    Chapter  Google Scholar 

  • Tzavella, K., Fekete, A., Fiedrich, F.: Opportunities provided by geographic information systems and volunteered geographic information for a timely emergency response during flood events in Cologne, Germany. Nat. Hazards 91(1), 29–57 (2018)

    Google Scholar 

  • UNCTAD: TECHNOLOGY AND INNOVATION REPORT 2018: Harnessing Frontier Technologies for Sustainable Development. https://unctad.org/en/PublicationsLibrary/tir2018_en.pdf. Accessed 18 Apr 2020

  • Van Eck, N.J., Waltman, L.: Visualizing bibliometric networks. In: Ding, Y. (ed) Measuring scholarly impact, pp. 285–320. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10377-8_13

    Chapter  Google Scholar 

  • Van Eck, N.J., Waltman, L.: Citation-based clustering of publications using citnetexplorer and vosviewer. Scientometrics 111(2), 1053–1070 (2017)

    Google Scholar 

  • Van Raan, A.: Scientometrics: state-of-the-art. Scientometrics 38(1), 205–218 (1997)

    Google Scholar 

  • Voinov, A., Kolagani, N., McCall, M.K., Glynn, P.D., Kragt, M.E., Ostermann, F.O., Pierce, S.A., Ramu, P.: Modelling with stakeholders-next generation. Environ. Model. Softw. 77, 196–220 (2016)

    Google Scholar 

  • Wei, W., Fan, X., Song, H., Fan, X., Yang, J.: Imperfect information dynamic stackelberg game based resource allocation using hidden markov for cloud computing. IEEE Trans. Serv. Comput. 11(1), 78–89 (2016)

    Google Scholar 

  • World Bank.: Haiti Earthquake PDNA: Assessment of damage, losses, general and sectoral needs, World Bank (2010). https://siteresources.worldbank.org/INTLAC/Resources/PDNA_Haiti-2010_Working_Document_EN.pdf. Accessed 18 Apr 2020

  • Xu, X., Zhang, L., Sotiriadis, S., Asimakopoulou, E., Li, M., Bessis, N.: Clotho: a large-scale internet of things-based crowd evacuation planning system for disaster management. IEEE Internet Things J. 5(5), 3559–3568 (2018)

    Google Scholar 

  • Yanmaz, E., Yahyanejad, S., Rinner, B., Hellwagner, H., Bettstetter, C.: Drone networks: communications, coordination, and sensing. Ad Hoc Netw. 68, 1–15 (2018)

    Google Scholar 

  • Yates, D., Paquette, S.: Emergency knowledge management and social media technologies: a case study of the 2010 haitian earthquake. Int. J. Inf. Manag. 31(1), 6–13 (2011)

    Google Scholar 

  • Younes, M.B., Boukerche, A.: An efficient dynamic traffic light scheduling algorithm considering emergency vehicles for intelligent transportation systems. Wirel. Netw. 24(7), 2451–2463 (2018)

    Google Scholar 

  • Yu, D., Xu, Z., Pedrycz, W., Wang, W.: Information sciences 1968–2016: a retrospective analysis with text mining and bibliometric. Inf. Sci. 418, 619–634 (2017)

    Google Scholar 

  • Zhang, J., Wang, F.Y., Wang, K., Lin, W.H., Xu, X., Chen, C.: Data-driven intelligent transportation systems: a survey. IEEE Trans. Intell. Transp. Syst. 12(4), 1624–1639 (2011)

    Google Scholar 

  • Zhao, L., Tang, Z.Y., Zou, X.: Mapping the knowledge domain of smart-city research: a bibliometric and scientometric analysis. Sustainability 11(23), 6648 (2019)

    Google Scholar 

  • Zhao, X., Zuo, J., Wu, G., Huang, C.: A bibliometric review of green building research 2000–2016. Archit. Sci. Rev. 62(1), 74–88 (2019)

    Google Scholar 

  • Zharikova, M., Sherstjuk, V.: Threat assessment method for intelligent disaster decision support system. In: Shakhovska, N. (ed) Advances in Intelligent Systems and Computing, pp. 81–99. Springer, Cham (2017)

    Google Scholar 

  • Zhou, L., Wu, X., Xu, Z., Fujita, H.: Emergency decision making for natural disasters: an overview. Int. J. Disaster Risk Reduct. 27, 567–576 (2018)

    Google Scholar 

  • Zuanazzi, N.R., de Castilhos Ghisi, N., de Oliveira, E.C.: Analysis of global trends and gaps for studies about 2,4-d herbicide toxicity: a scientometric review. Chemosphere 241, 125016 (2019). https://doi.org/10.1016/j.chemosphere.2019.125016

    Article  Google Scholar 

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Sahil, Sood, S.K. Bibliometric monitoring of research performance in ICT-based disaster management literature. Qual Quant 55, 103–132 (2021). https://doi.org/10.1007/s11135-020-00991-x

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