Topic · Maritime Navigation and Safety
Most cited papers in Maritime Navigation and Safety
What are the most cited papers in Maritime Navigation and Safety?
The most cited paper in Maritime Navigation and Safety is "Design and Evaluation for Situation Awareness Enhancement" (Mica Robertson Endsley, 1988), with 1,923 citations. Next come "Unmanned surface vehicles: An overview of developments and challenges" (1,235) and "Seaglider: a long-range autonomous underwater vehicle for oceanographic research" (1,086).
Showing 50 of 99 papers. Every paper with more than 258 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Design and Evaluation for Situation Awareness Enhancement Mica Robertson Endsley · Proceedings of the Human Factors and Ergonomics Society Annual Meeting | Oct 1988 | 1,923 |
| 2 | Unmanned surface vehicles: An overview of developments and challenges Zhixiang Liu, Youmin M. Zhang, Xiang Yang Yu et al. · Annual Reviews in Control | 2016 | 1,235 |
| 3 | Seaglider: a long-range autonomous underwater vehicle for oceanographic research Charles Curtis Eriksen, T. James Osse, R.D. Light et al. · IEEE Journal of Oceanic Engineering | 2001 | 1,086 |
| 4 | Interpreting qualitative data: Methods for analysing talk, text and interaction Janice M. Morse · Journal of Psychosomatic Research | Sep 1996 | 1,004 |
| 5 | An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles Zhouhua Peng, Jun Wang, Dan Wang et al. · IEEE Transactions on Industrial Informatics | 23 Jun 2020 | 758 |
| 6 | Frontier-based exploration using multiple robots Brian M. Yamauchi | 1998 | 724 |
| 7 | Safety in shipping: The human element Catherine Hetherington, Rhona H. Flin, Kathryn J. Mearns · Journal of Safety Research | 2006 | 696 |
| 8 | Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction Giuliana Pallotta, Michele Vespe, Karna Bryan · Entropy | 4 Jun 2013 | 694 |
| 9 | Design and Control of Autonomous Underwater Robots: A Survey Jong Hak Yuh · Autonomous Robots | 2000 | 665 |
| 10 | Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation Ching‐Hsue Cheng, Yin Lin · European Journal of Operational Research | 17 Sep 2002 | 618 |
| 11 | Aggregation of fuzzy opinions under group decision making Hsi-Mei Hsu, Chen‐Tung Arthur Chen · Fuzzy Sets and Systems | May 1996 | 601 |
| 12 | Oceanographic atlas of the International Indian ocean expedition Günter Dietrich · Deep Sea Research and Oceanographic Abstracts | Dec 1972 | 601 |
| 13 | Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS Christine Chauvin, Salim Lardjane, Gaël Morel et al. · Accident Analysis & Prevention | 18 May 2013 | 593 |
| 14 | Modified failure mode and effects analysis using approximate reasoning Anand Pillay, Jin Wang · Reliability Engineering & System Safety | 2003 | 588 |
| 15 | Water wave optimization: A new nature-inspired metaheuristic Yu‐Jun Zheng · Computers & Operations Research | 23 Oct 2014 | 571 |
| 16 | COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures Joacim Rocklöv, Henrik Sjödin, Annelies Wilder‐Smith · Journal of Travel Medicine | 28 Feb 2020 | 524 |
| 17 | SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection Zhenfeng Shao, Wenjing Wu, Zhongyuan Wang et al. · IEEE Transactions on Multimedia | 17 Aug 2018 | 522 |
| 18 | A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation Paolo Trucco, Enrico Cagno, Fabrizio Ruggeri et al. · Reliability Engineering & System Safety | 2 Apr 2007 | 506 |
| 19 | A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres Sean M. Campbell, Wasif Naeem, G.W. Irwin · Annual Reviews in Control | 25 Oct 2012 | 479 |
| 20 | Path Planning for Autonomous Mobile Robots: A Review J. Ricardo Sánchez-Ibáñez, Carlos J. Pérez-del-Pulgar, Alfonso J. Garcia-Cerezo · Sensors | 26 Nov 2021 | 456 |
| 21 | How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications Dong Yang, Lingxiao Wu, Shuaian Wang et al. · Transport Reviews | 28 Jul 2019 | 456 |
| 22 | A Statistical Study of Ship Domains Elisabeth M. Goodwin · Journal of Navigation | Jul 1975 | 455 |
| 23 | Automatic Identification System (AIS): Data Reliability and Human Error Implications Abbas Harati-Mokhtari, Alan Wall, P. L. Brooks et al. · Journal of Navigation | 9 Aug 2007 | 455 |
| 24 | Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology Enmei Tu, Guanghao Zhang, Lily Rachmawati et al. · IEEE Transactions on Intelligent Transportation Systems | 4 Sep 2017 | 447 |
| 25 | Safe Maritime Autonomous Navigation With COLREGS, Using Velocity Obstacles Yoshiaki Kuwata, Michael T Wolf, Dimitri V. Zarzhitsky et al. · IEEE Journal of Oceanic Engineering | 24 May 2013 | 439 |
| 26 | Association between health information, use of protective devices and occurrence of acute health problems in the Prestige oil spill clean-up in Asturias and Cantabria (Spain): a cross-sectional study José Miguel Carrasco, Virginia Lope, Beatriz Pérez‐Gómez et al. · BMC Public Health | 3 Jan 2006 | 437 |
| 27 | A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making Hongbin Liu, Rosa M. Rodríguez · Information Sciences | 19 Aug 2013 | 431 |
| 28 | Ship collision avoidance methods: State-of-the-art Yamin Huang, Linying Chen, Pengfei Chen et al. · Safety Science | 27 Sep 2019 | 430 |
| 29 | Bearings-Only Tracking of Manoeuvring Targets Using Particle Filters M.S. Arulampalam, Branko Ristić, Neil Gordon et al. · EURASIP Journal on Advances in Signal Processing | 7 Nov 2004 | 427 |
| 30 | Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers Shi-Jay Chen, Shyi‐Ming Chen · IEEE Transactions on Fuzzy Systems | Feb 2003 | 425 |
| 31 | Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo et al. · IEEE Communications Surveys & Tutorials | 2021 | 418 |
| 32 | Extent and Degree of Shoreline Oiling: Deepwater Horizon Oil Spill, Gulf of Mexico, USA Jacqueline Michel, Edward H. Owens, Scott A. Zengel et al. · PLoS ONE | 12 Jun 2013 | 413 |
| 33 | The hybrid path planning algorithm based on improved A* and artificial potential field for unmanned surface vehicle formations Hongqiang Sang, Yusong You, Xiujun Sun et al. · Ocean Engineering | 11 Feb 2021 | 409 |
| 34 | Automatic detection of oil spills in ERS SAR images Anne H. Schistad Solberg, Geir Olve Storvik, R. Solberg et al. · IEEE Transactions on Geoscience and Remote Sensing | Jul 1999 | 409 |
| 35 | Oil spills from global tankers: Status review and future governance Jihong Chen, Weipan Zhang, Zheng Wan et al. · Journal of Cleaner Production | 16 Apr 2019 | 397 |
| 36 | Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions Ziaul Haque Munim, Mariia Dushenko, Veronica Jaramillo Jimenez et al. · Maritime Policy & Management | 3 Jul 2020 | 388 |
| 37 | Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images Zhao Lin, Kefeng Ji, Xiangguang Leng et al. · IEEE Geoscience and Remote Sensing Letters | 11 Dec 2018 | 384 |
| 38 | Study on collision avoidance in busy waterways by using AIS data Jun Min Mou, Cees van der Tak, Han Ligteringen · Ocean Engineering | 2 Feb 2010 | 383 |
| 39 | Path planning and obstacle avoidance for AUV: A review Chunxi Cheng, Qixin Sha, Bo He et al. · Ocean Engineering | 27 Jul 2021 | 373 |
| 40 | The IMO initial strategy for reducing Greenhouse Gas(GHG) emissions, and its follow-up actions towards 2050 Tae-Hwan Joung, Seong-Gil Kang, Jong-Kap Lee et al. · Journal of International Maritime Safety Environmental Affairs and Shipping | 2 Jan 2020 | 370 |
| 41 | COLREGS-Constrained Real-time Path Planning for Autonomous Ships Using Modified Artificial Potential Fields Hongguang Lyu, Yong Yin · Journal of Navigation | 16 Nov 2018 | 369 |
| 42 | Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques Thomas Statheros, Gareth Howells, Klaus Dieter McDonald-Maier · Journal of Navigation | 10 Dec 2007 | 368 |
| 43 | Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment Tor Arne Johansen, Tristán Pérez, Andrea Cristofaro · IEEE Transactions on Intelligent Transportation Systems | 3 May 2016 | 364 |
| 44 | Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea Renato Antonio Krohling, Vinicius C. Campanharo · Expert Systems with Applications | 30 Sep 2010 | 363 |
| 45 | Autonomous Underwater Vehicle navigation: A review Bingbing Zhang, Daxiong Ji, Shuo Liu et al. · Ocean Engineering | 24 Feb 2023 | 358 |
| 46 | Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction Lokukaluge Prasad Perera, Paulo Oliveira, Carlos Guedes Soares · IEEE Transactions on Intelligent Transportation Systems | 6 Mar 2012 | 355 |
| 47 | Situation awareness-based agent transparency and human-autonomy teaming effectiveness Jessie Y. C. Chen, Shan G. Lakhmani, Kimberly L. Stowers et al. · Theoretical Issues in Ergonomics Science | 23 Feb 2018 | 351 |
| 48 | Oil Spill Detection by SAR Images: Dark Formation Detection, Feature Extraction and Classification Algorithms Konstantinos Topouzelis · Sensors | 22 Oct 2008 | 348 |
| 49 | Maritime transportation risk analysis: Review and analysis in light of some foundational issues Floris Goerlandt, Jakub Montewka · Reliability Engineering & System Safety | 7 Feb 2015 | 347 |
| 50 | Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network Shiqi Fan, Eduardo Blanco‐Davis, Zaili L. Yang et al. · Reliability Engineering & System Safety | 12 Jun 2020 | 346 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.