Anastasios M. Lekkas

2.0k total citations · 1 hit paper
54 papers, 1.5k citations indexed

About

Anastasios M. Lekkas is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Anastasios M. Lekkas has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Ocean Engineering, 24 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Anastasios M. Lekkas's work include Robotic Path Planning Algorithms (24 papers), Maritime Navigation and Safety (22 papers) and Underwater Vehicles and Communication Systems (15 papers). Anastasios M. Lekkas is often cited by papers focused on Robotic Path Planning Algorithms (24 papers), Maritime Navigation and Safety (22 papers) and Underwater Vehicles and Communication Systems (15 papers). Anastasios M. Lekkas collaborates with scholars based in Norway, Australia and Sweden. Anastasios M. Lekkas's co-authors include Thor I. Fossen, Andreas B. Martinsen, Morten Breivik, Sébastien Gros, Mauro Candeloro, Asgeir J. Sørensen, Bjørn‐Olav H. Eriksen, Inga Strümke, M.A. Hinostroza and Ingrid Schjølberg and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Control Systems Technology.

In The Last Decade

Anastasios M. Lekkas

51 papers receiving 1.5k citations

Hit Papers

Integral LOS Path Following for Curved Paths Based on a M... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anastasios M. Lekkas Norway 19 908 718 540 333 179 54 1.5k
Yunsheng Fan China 24 729 0.8× 1.1k 1.5× 337 0.6× 359 1.1× 150 0.8× 202 1.8k
Nakwan Kim South Korea 17 627 0.7× 702 1.0× 218 0.4× 329 1.0× 246 1.4× 66 1.5k
Morten Breivik Norway 24 1.3k 1.4× 1.1k 1.6× 735 1.4× 496 1.5× 135 0.8× 74 2.2k
Yong Yin China 18 892 1.0× 198 0.3× 343 0.6× 209 0.6× 85 0.5× 105 1.3k
Andrea Cristofaro Italy 17 292 0.3× 741 1.0× 129 0.2× 318 1.0× 114 0.6× 80 1.3k
Zheng Zeng China 23 1.2k 1.3× 410 0.6× 719 1.3× 528 1.6× 80 0.4× 59 1.5k
Edmund Brekke Norway 21 731 0.8× 156 0.2× 241 0.4× 274 0.8× 373 2.1× 102 1.2k
Xianku Zhang China 32 1.6k 1.8× 2.4k 3.4× 399 0.7× 535 1.6× 197 1.1× 231 3.4k
Mai The Vu South Korea 24 455 0.5× 793 1.1× 209 0.4× 261 0.8× 189 1.1× 78 1.5k
Rubo Zhang China 14 419 0.5× 281 0.4× 280 0.5× 112 0.3× 61 0.3× 52 759

Countries citing papers authored by Anastasios M. Lekkas

Since Specialization
Citations

This map shows the geographic impact of Anastasios M. Lekkas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anastasios M. Lekkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anastasios M. Lekkas more than expected).

Fields of papers citing papers by Anastasios M. Lekkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anastasios M. Lekkas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anastasios M. Lekkas. The network helps show where Anastasios M. Lekkas may publish in the future.

Co-authorship network of co-authors of Anastasios M. Lekkas

This figure shows the co-authorship network connecting the top 25 collaborators of Anastasios M. Lekkas. A scholar is included among the top collaborators of Anastasios M. Lekkas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anastasios M. Lekkas. Anastasios M. Lekkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lekkas, Anastasios M., et al.. (2024). Explaining Deep Reinforcement Learning Policies with SHAP, Decision Trees, and Prototypes. 700–705. 1 indexed citations
3.
Hinostroza, M.A. & Anastasios M. Lekkas. (2024). Temporal mission planning for autonomous ships: Design and integration with guidance, navigation and control. Ocean Engineering. 297. 117104–117104. 7 indexed citations
5.
Lekkas, Anastasios M., et al.. (2024). Nonlinear PID Control for Automatic Docking of a Large Container Ship in Confined Waters Under the Influence of Wind and Currents. IFAC-PapersOnLine. 58(20). 265–272. 2 indexed citations
6.
Hinostroza, M.A., et al.. (2024). Autonomous Inspection and Maintenance Operations employing Multi-Robots: Preliminary Results. 1–8. 1 indexed citations
7.
Martelli, Michele, et al.. (2024). Model-Based Motion Control Design for the Milliampere1 Prototype Ferry. CINECA IRIS Institutial Research Information System (University of Genoa). 3636–3643.
8.
Martinsen, Andreas B., et al.. (2022). Static and dynamic multi-obstacle avoidance and docking of ASVs using computational geometry and numerical optimal control. IFAC-PapersOnLine. 55(31). 50–57. 5 indexed citations
9.
Brekke, Edmund, Egil Eide, Bjørn‐Olav H. Eriksen, et al.. (2022). milliAmpere: An Autonomous Ferry Prototype. Journal of Physics Conference Series. 2311(1). 12029–12029. 34 indexed citations
10.
Strümke, Inga, et al.. (2022). Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning. 2022 American Control Conference (ACC). 2683–2690. 5 indexed citations
11.
Transeth, Aksel A., Ingrid Schjølberg, Anastasios M. Lekkas, et al.. (2022). Autonomous subsea intervention (SEAVENTION). IFAC-PapersOnLine. 55(31). 387–394. 3 indexed citations
12.
Lekkas, Anastasios M., et al.. (2021). Reinforcement Learning based on Scenario-tree MPC for ASVs. arXiv (Cornell University). 1985–1990. 12 indexed citations
13.
Strümke, Inga, et al.. (2021). Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization. Journal of Marine Science and Engineering. 9(11). 1178–1178. 13 indexed citations
15.
Eriksen, Bjørn‐Olav H., et al.. (2020). Hybrid Collision Avoidance for ASVs Compliant With COLREGs Rules 8 and 13–17. Frontiers in Robotics and AI. 7. 11–11. 57 indexed citations
16.
Martinsen, Andreas B., et al.. (2020). Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments. IEEE Access. 8. 204974–204986. 55 indexed citations
17.
Martinsen, Andreas B., et al.. (2020). Reinforcement Learning-Based Tracking Control of USVs in Varying Operational Conditions. Frontiers in Robotics and AI. 7. 32–32. 27 indexed citations
18.
Candeloro, Mauro, Anastasios M. Lekkas, & Asgeir J. Sørensen. (2017). A Voronoi-diagram-based dynamic path-planning system for underactuated marine vessels. Control Engineering Practice. 61. 41–54. 105 indexed citations
19.
Fossen, Thor I. & Anastasios M. Lekkas. (2015). Direct and indirect adaptive integral line‐of‐sight path‐following controllers for marine craft exposed to ocean currents. International Journal of Adaptive Control and Signal Processing. 31(4). 445–463. 189 indexed citations
20.
Lekkas, Anastasios M. & Thor I. Fossen. (2014). Integral LOS Path Following for Curved Paths Based on a Monotone Cubic Hermite Spline Parametrization. IEEE Transactions on Control Systems Technology. 22(6). 2287–2301. 324 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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