Signe Moe

786 total citations
26 papers, 569 citations indexed

About

Signe Moe is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Signe Moe has authored 26 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Ocean Engineering. Recurrent topics in Signe Moe's work include Robotic Path Planning Algorithms (10 papers), Robot Manipulation and Learning (6 papers) and Underwater Vehicles and Communication Systems (6 papers). Signe Moe is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Robot Manipulation and Learning (6 papers) and Underwater Vehicles and Communication Systems (6 papers). Signe Moe collaborates with scholars based in Norway, Italy and United States. Signe Moe's co-authors include Kristin Y. Pettersen, Jan Tommy Gravdahl, Gianluca Antonelli, Andrew R. Teel, Ingrid Schjølberg, Thor I. Fossen, Walter Caharija, Eleni Kelasidi, Tor Arne Johansen and Sébastien Gros and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Applications of Artificial Intelligence and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Signe Moe

25 papers receiving 555 citations

Peers

Signe Moe

CSE

CVPR

Zhenhua Pan China

Eugen Solowjow Germany

Rodrigo Hernández-Alvarado Mexico

Hongbin Deng China

Giuseppe Fusco Italy

Trung Dung Ngo Canada

Goran Vasiljević Croatia

Gene Eu Jan Taiwan

Christoph Rösmann Germany

Tingxiang Fan Hong Kong

Zhenhua Pan China

Signe Moe

221 ×0.8

CSE

263 ×1.4

CVPR

52 ×0.3

190 ×1.2

64 ×0.6

Citations per year, relative to Signe Moe Signe Moe (= 1×) peers Zhenhua Pan

Countries citing papers authored by Signe Moe

Since Specialization

Citations

This map shows the geographic impact of Signe Moe'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 Signe Moe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signe Moe more than expected).

Fields of papers citing papers by Signe Moe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Signe Moe. 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 Signe Moe. The network helps show where Signe Moe may publish in the future.

Co-authorship network of co-authors of Signe Moe

This figure shows the co-authorship network connecting the top 25 collaborators of Signe Moe. A scholar is included among the top collaborators of Signe Moe 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 Signe Moe. Signe Moe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gros, Sébastien, et al.. (2023). Optimization of the model predictive control meta-parameters through reinforcement learning. Engineering Applications of Artificial Intelligence. 123. 106211–106211. 15 indexed citations

Moe, Signe, et al.. (2022). Wire-arc additive manufacturing of structures with overhang: Experimental results depositing material onto fixed substrate. CIRP journal of manufacturing science and technology. 38. 186–203. 17 indexed citations

Fischer, Karin, Cornelia Staritz, & Signe Moe. (2022). Scaling Up? On the Possibilities and Limits of Transnational Labour Organising in Globalised Production. Journal für Entwicklungspolitik. 38(2/3). 8–37. 1 indexed citations

Moe, Signe, et al.. (2021). Stable and robust neural network controllers. 2021 European Control Conference (ECC). 1452–1458.

Grøtli, Esten Ingar, et al.. (2021). Neural Network-Based Model Predictive Control with Input-to-State Stability. 3556–3563. 7 indexed citations

Moe, Signe, et al.. (2020). Linear Antisymmetric Recurrent Neural Networks. Duo Research Archive (University of Oslo). 170–178. 1 indexed citations

Moe, Signe, Kristin Y. Pettersen, & Jan Tommy Gravdahl. (2020). Set-based collision avoidance applications to robotic systems. Mechatronics. 69. 102399–102399. 10 indexed citations

Moe, Signe, et al.. (2020). Compressor Surge Control Using Lyapunov Neural Networks. SHILAP Revista de lepidopterología. 41(2). 41–49. 2 indexed citations

Moe, Signe, et al.. (2020). Robotised Wire Arc Additive Manufacturing Using Set-based Control: Experimental Results. IFAC-PapersOnLine. 53(2). 10044–10051. 6 indexed citations

10.

Kelasidi, Eleni, et al.. (2019). Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots. Frontiers in Robotics and AI. 6. 57–57. 19 indexed citations

11.

Moe, Signe, et al.. (2019). Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy optimization. arXiv (Cornell University). 523–533. 144 indexed citations

12.

Moe, Signe, et al.. (2017). Set-based path following and obstacle avoidance for underwater snake robots. 1206–1213. 7 indexed citations

13.

Moe, Signe, et al.. (2017). Additive manufacturing by robot manipulator: An overview of the state-of-the-art and proof-of-concept results. 1–8. 20 indexed citations

14.

Moe, Signe, et al.. (2017). Kinematic singularity avoidance for robot manipulators using set-based manipulability tasks. 2017 IEEE Conference on Control Technology and Applications (CCTA). 142–149. 13 indexed citations

15.

Moe, Signe & Kristin Y. Pettersen. (2017). Set-Based line-of-sight (LOS) path following with collision avoidance for underactuated unmanned surface vessels under the influence of ocean currents. 2017 IEEE Conference on Control Technology and Applications (CCTA). 241–248. 21 indexed citations

16.

Moe, Signe, Kristin Y. Pettersen, Thor I. Fossen, & Jan Tommy Gravdahl. (2016). Line-of-sight curved path following for underactuated USVs and AUVs in the horizontal plane under the influence of ocean currents. BIBSYS Brage (BIBSYS (Norway)). 38–45. 43 indexed citations

17.

Moe, Signe, et al.. (2015). Experimental results for set-based control within the singularity-robust multiple task-priority inverse kinematics framework. 25. 1233–1239. 13 indexed citations

18.

Antonelli, Gianluca, Signe Moe, & Kristin Y. Pettersen. (2015). Incorporating set-based control within the singularity-robust multiple task-priority inverse kinematics. BIBSYS Brage (BIBSYS (Norway)). 7. 1092–1097. 11 indexed citations

19.

Moe, Signe, Gianluca Antonelli, & Kristin Y. Pettersen. (2014). Null-space-based behavior guidance of planar dual-arm UVMS. 735–740. 7 indexed citations

20.

Moe, Signe, Walter Caharija, Kristin Y. Pettersen, & Ingrid Schjølberg. (2014). Path Following of Underactuated Marine Underwater Vehicles in the Presence of Unknown Ocean Currents. 3 indexed citations

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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