A Scopus-based bibliometric study of maritime research involving the Automatic Identification System
Tài liệu tham khảo
Abbasi, 2011, Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis, Scientometrics, 89, 687, 10.1007/s11192-011-0463-1
Agarwala, 2021, Role of policy framework for disruptive technologies in the maritime domain, Aust. Jo. Marit. Ocean Affairs, 1
Alonso, 2018, A bibliometric analysis of the explainable artificial intelligence research field, 3
Archibugi, 2018, The retreat of public research and its adverse consequences on innovation, Technol. Forecast. Soc. Chang., 127, 97, 10.1016/j.techfore.2017.05.022
Batty, 2018, Data analytics enables advanced AIS applications, 22
Blanchard, 2017, The geopolitics of China’s maritime silk road initiative, Geopolitics, 22, 223, 10.1080/14650045.2017.1291503
Bloch, 1987, Basic research: the key to economic competitiveness, Interdisc. Sci. Rev., 12, 101, 10.1179/isr.1987.12.2.101
Chen, 2018, Analysis on port and maritime transport system researches, J. Adv. Transp., 10.1155/2018/6471625
Chen, 2018, Pattern knowledge discovery of ship collision avoidance based on AIS data analysis, Int. J. Performability Eng., 14
Cheung, 2018, The rise of China as a cybersecurity industrial power: balancing national security, geopolitical, and development priorities, J. Cyber Policy, 3, 306, 10.1080/23738871.2018.1556720
Creech, 2003, AIS the cornerstone of national security?, J. Navig., 56, 31, 10.1017/S0373463302002072
Davarzani, 2016, Greening ports and maritime logistics: a review, Transp. Res. Part D: Transp. Environ., 48, 473, 10.1016/j.trd.2015.07.007
Demšar, 2010, Space–time density of trajectories: exploring spatio-temporal patterns in movement data, Int. J. Geogr. Inf. Sci., 24, 1527, 10.1080/13658816.2010.511223
Di Tommaso, 2020, 141
Dobrkovic, 2016, Towards an approach for long term AIS-based prediction of vessel arrival times, 281
Fan, 2018, Vessel size, investments and trade
Filipiak, 2018, Big data for anomaly detection in maritime surveillance: spatial AIS data analysis for tankers, Sci. J. Polish Naval Acad., 215, 5
Garrison, 1965, 137
Grault, 2020, Maritime cooperation in the European Union-China relations and the 21st century maritime silk road: what is at stake?, 255
Hasegawa, 2001, Intelligent marine traffic simulator for congested waterways, 632
ITU, 2010, 146
ITU, 2019. United Nations Activities on Artificial Intelligence (AI) Report of the International Telecommunications Union online.
Jahn, 2018, Port call optimization by estimating ships’ time of arrival, 172
Jilani, 2021, Research trend of marine engineering in India and China during 2010–2019, Qual. Quant. Methods Libraries, 10, 129
Killick, 2012, Optimal detection of changepoints with a linear computational cost, J. Am. Stat. Assoc., 107, 1590, 10.1080/01621459.2012.737745
Lau, 2017, Across the waves: a bibliometric analysis of container shipping research since the 1960s, Marit. Policy Manag., 44, 667, 10.1080/03088839.2017.1311425
Lee, 2018, A decision support system for vessel speed decision in maritime logistics using weather archive big data, Comput. Oper. Res., 98, 330, 10.1016/j.cor.2017.06.005
Lim, 2018, Models and computational algorithms for maritime risk analysis: a review, Ann. Oper. Res., 271, 765, 10.1007/s10479-018-2768-4
Liu, 2015, 91
Luukkonen, 1993, The measurement of international scientific collaboration, Scientometrics, 28, 15, 10.1007/BF02016282
Martín-Martín, 2018, Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories, J. Informetrics, 12, 1160, 10.1016/j.joi.2018.09.002
Martin, 2019. 2018 National Economic Impact of the U.S. Coastal Port System. Martin Associates.
Miailhe, 2018, The geopolitics of artificial intelligence: the return of empires?, Politique étrangère, 3, 105, 10.3917/pe.183.0105
Munim, 2020, Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions, Marit. Policy Manag., 47, 577, 10.1080/03088839.2020.1788731
Murk, D.W., 1999. Vessel traffic management: a new philosophy. In: Proceedings of the Marine Safety Council.
Nguyen, 2020, Scientific knowledge production in China: a comparative analysis, Scientometrics, 124, 1279, 10.1007/s11192-020-03507-4
Niu, 2016, Global research on artificial intelligence from 1990–2014: Spatially-explicit bibliometric analysis, ISPRS Int. J. Geo-Inf., 5, 66, 10.3390/ijgi5050066
NSB, 2018. Science and Engineering Indicators 2018. National Science Board, National Science Foundation, Alexandria, VA.
Oh, 2018, Detection of ship movement anomaly using AIS data: a study, J. Navig. Port Res., 42, 277
Pallotta, 2013, Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction, Entropy, 15, 2218, 10.3390/e15062218
Ristic, 2008, Statistical analysis of motion patterns in AIS data: anomaly detection and motion prediction, 1
Robards, 2016, Conservation science and policy applications of the marine vessel Automatic Identification System (AIS)—a review, Bull. Mar. Sci., 92, 75, 10.5343/bms.2015.1034
Rong, 2019, Ship trajectory uncertainty prediction based on a Gaussian Process model, Ocean Eng., 182, 499, 10.1016/j.oceaneng.2019.04.024
Shelmerdine, 2015, Teasing out the detail: how our understanding of marine AIS data can better inform industries, developments, and planning, Mar. Policy, 54, 17, 10.1016/j.marpol.2014.12.010
Shukla, 2019, Engineering applications of artificial intelligence: a bibliometric analysis of 30 years (1988–2018), Eng. Appl. Artif. Intell., 85, 517, 10.1016/j.engappai.2019.06.010
Sidibé, 2017, Study of automatic anomalous behaviour detection techniques for maritime vessels, J. Navig., 70, 847, 10.1017/S0373463317000066
Silveira, 2013, Use of AIS data to characterise marine traffic patterns and ship collision risk off the coast of Portugal, J. Navig., 66, 879, 10.1017/S0373463313000519
Subramanyam, 1983, Bibliometric studies of research collaboration: a review, J. Inf. Sci., 6, 33, 10.1177/016555158300600105
Svanberg, 2019, AIS in maritime research, Marine Policy, 106, 103520, 10.1016/j.marpol.2019.103520
Tobin, 2019, A brief historical overview of artificial intelligence research, Inf. Serv. Use, 1
Tran, 2019, Global evolution of research in artificial intelligence in health and medicine: a bibliometric study, J. Clin. Med., 8, 360, 10.3390/jcm8030360
van Raan, 1993, Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications, Res. Eval., 3, 151, 10.1093/rev/3.3.151
Vuletic, 2017, Improving the creation and management of collaborative networks within the European maritime sector, J. Ind. Inf. Integr., 8, 22
Wamba, 2019, 255
Wang, 2013, A spatial–temporal forensic analysis for inland–water ship collisions using AIS data, Saf. Sci., 57, 187, 10.1016/j.ssci.2013.02.006
Wu, 2020, Towards a new generation of artificial intelligence in China, Nat. Mach. Intell., 2, 312, 10.1038/s42256-020-0183-4
Wu, 2016, Mapping global shipping density from AIS data, J. Navig., 70, 67, 10.1017/S0373463316000345
Xin, 2019, A simulation model for ship navigation in the “Xiazhimen” waterway based on statistical analysis of AIS data, Ocean Eng., 180, 279, 10.1016/j.oceaneng.2019.03.052
Yang, 2019, How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications, Transp. Rev., 39, 755, 10.1080/01441647.2019.1649315
Zhang, 2018, Data-driven based automatic maritime routing from massive AIS trajectories in the face of disparity, Ocean Eng., 155, 240, 10.1016/j.oceaneng.2018.02.060
Zhou, 2019, Review of maritime traffic models from vessel behavior modeling perspective, Transp. Res. Part C: Emerg. Technol., 105, 323, 10.1016/j.trc.2019.06.004
Zhu, 2020, A tale of two databases: the use of Web of Science and Scopus in academic papers, Scientometrics, 123, 321, 10.1007/s11192-020-03387-8
