Simon Bøgh

2.4k total citations · 2 hit papers
54 papers, 1.6k citations indexed

About

Simon Bøgh is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Simon Bøgh has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 23 papers in Industrial and Manufacturing Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Simon Bøgh's work include Robot Manipulation and Learning (23 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Reinforcement Learning in Robotics (9 papers). Simon Bøgh is often cited by papers focused on Robot Manipulation and Learning (23 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Reinforcement Learning in Robotics (9 papers). Simon Bøgh collaborates with scholars based in Denmark, Spain and Germany. Simon Bøgh's co-authors include Ole Madsen, Emil Blixt Hansen, Rasmus Andersen, Casper Schou, Dimitrios Chrysostomou, Mikkel Rath Pedersen, Volker Krüger, Lazaros Nalpantidis, Carsten Skovmose Kallesøe and Morten Kristiansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy.

In The Last Decade

Simon Bøgh

50 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robot skills for manufacturing: From concept to industrial deployment

2015 301 citations Rasmus Andersen, Casper Schou et al. profile →
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey

2020 229 citations Emil Blixt Hansen, Simon Bøgh profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Bøgh Denmark	20	693	673	321	287	186	54	1.6k
Tarek Sobh United States	18	479 0.7×	309 0.5×	290 0.9×	299 1.0×	185 1.0×	139	1.3k
Dimitrios Chrysostomou Denmark	18	399 0.6×	404 0.6×	182 0.6×	276 1.0×	232 1.2×	60	1.2k
Marcello Pellicciari Italy	30	665 1.0×	1.2k 1.8×	506 1.6×	237 0.8×	88 0.5×	106	2.4k
Sichao Liu China	20	325 0.5×	651 1.0×	142 0.4×	140 0.5×	76 0.4×	58	1.3k
József Váncza Hungary	27	433 0.6×	2.1k 3.2×	380 1.2×	176 0.6×	188 1.0×	109	3.3k
Nikolaos Papakostas Greece	27	316 0.5×	1.6k 2.4×	320 1.0×	143 0.5×	101 0.5×	86	2.5k
Tobias Meisen Germany	22	177 0.3×	508 0.8×	262 0.8×	168 0.6×	304 1.6×	148	1.5k
Xuan F. Zha Singapore	25	250 0.4×	836 1.2×	415 1.3×	107 0.4×	235 1.3×	94	2.1k
Georg von Wichert Germany	11	192 0.3×	775 1.2×	119 0.4×	155 0.5×	95 0.5×	33	1.2k
Francisco Rubio Spain	14	383 0.6×	207 0.3×	172 0.5×	392 1.4×	66 0.4×	43	1.3k

Countries citing papers authored by Simon Bøgh

Since Specialization

Citations

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

Fields of papers citing papers by Simon Bøgh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Bøgh

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Bøgh. A scholar is included among the top collaborators of Simon Bøgh 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 Simon Bøgh. Simon Bøgh 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

Bøgh, Simon, et al.. (2025). A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching. Frontiers in Robotics and AI. 11. 1424036–1424036.

Bøgh, Simon, et al.. (2024). RLRoverLAB: An Advanced Reinforcement Learning Suite for Planetary Rover Simulation and Training. VBN Forskningsportal (Aalborg Universitet). 273–277.

Bøgh, Simon, et al.. (2024). A Review on Reinforcement Learning for Motion Planning of Robotic Manipulators. International Journal of Intelligent Systems. 2024(1).

Li, Chen, et al.. (2023). STAD-FEBTE, a shallow and supervised framework for time series anomaly detection by automatic feature engineering, balancing, and tree-based ensembles: An industrial case study. VBN Forskningsportal (Aalborg Universitet). 840–846. 1 indexed citations

Chrysostomou, Dimitrios, et al.. (2023). A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots. VBN Forskningsportal (Aalborg Universitet). 3. 1–5. 2 indexed citations

Chrysostomou, Dimitrios, et al.. (2022). Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment. Applied Sciences. 12(22). 11610–11610. 8 indexed citations

Bøgh, Simon, et al.. (2022). Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. Open Repository and Bibliography (University of Luxembourg). 4112–4119. 9 indexed citations

Arana-Arexolaleiba, Nestor, et al.. (2021). Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study. The International Journal of Advanced Manufacturing Technology. 124(9). 3171–3183. 8 indexed citations

Hansen, Emil Blixt, et al.. (2020). Towards a Collaborative Omnidirectional Mobile Robot in a Smart Cyber-Physical Environment. Procedia Manufacturing. 51. 193–200. 7 indexed citations

10.

Bøgh, Simon, et al.. (2020). Mixed Reality Interface for Improving Mobile Manipulator Teleoperation in Contamination Critical Applications. Procedia Manufacturing. 51. 620–626. 23 indexed citations

11.

Andersen, Rasmus, et al.. (2020). Deep Reinforcement Learning for Robot Batching Optimization and Flow Control. Procedia Manufacturing. 51. 1462–1468. 9 indexed citations

12.

Hansen, Emil Blixt, Nadeem Iftikhar, & Simon Bøgh. (2020). Concept of easy-to-use versatile artificial intelligence in industrial small & medium-sized enterprises. Procedia Manufacturing. 51. 1146–1152. 7 indexed citations

13.

Hansen, Emil Blixt, et al.. (2020). Transferring Human Manipulation Knowledge to Robots with Inverse Reinforcement Learning. VBN Forskningsportal (Aalborg Universitet). 933–937. 5 indexed citations

14.

Kallesøe, Carsten Skovmose, et al.. (2020). Control of HVAC-Systems Using Reinforcement Learning With Hysteresis and Tolerance Control. VBN Forskningsportal (Aalborg Universitet). 938–942. 3 indexed citations

15.

Andersen, Rasmus, Simon Bøgh, Thomas B. Moeslund, & Ole Madsen. (2016). Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures. VBN Forskningsportal (Aalborg Universitet). 16 indexed citations

16.

Andersen, Rasmus, Simon Bøgh, Thomas B. Moeslund, & Ole Madsen. (2015). Intuitive task programming of stud welding robots for ship construction. VBN Forskningsportal (Aalborg Universitet). 3302–3307. 25 indexed citations

17.

Bøgh, Simon, Casper Schou, Thomas Rühr, et al.. (2014). Integration and Assessment of Multiple Mobile Manipulators in a Real-World Industrial Production Facility. VBN Forskningsportal (Aalborg Universitet). 1–8. 27 indexed citations

18.

Bøgh, Simon, et al.. (2012). Autonomous industrial mobile manipulation (AIMM): past, present and future. Industrial Robot the international journal of robotics research and application. 39(2). 120–135. 96 indexed citations

19.

Bøgh, Simon, et al.. (2011). "Little Helper" - An Autonomous Industrial Mobile Manipulator Concept. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Bøgh, Simon, et al.. (2010). 3D Simulation Used for Evaluating the Use and Implementation of the Mobile Manipulator "Little Helper" at Grundfos A/S. VBN Forskningsportal (Aalborg Universitet). 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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