Mathias Haage

580 total citations
26 papers, 388 citations indexed

About

Mathias Haage is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Mathias Haage has authored 26 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 15 papers in Industrial and Manufacturing Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Mathias Haage's work include Robot Manipulation and Learning (15 papers), Manufacturing Process and Optimization (10 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Mathias Haage is often cited by papers focused on Robot Manipulation and Learning (15 papers), Manufacturing Process and Optimization (10 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Mathias Haage collaborates with scholars based in Sweden, Germany and Portugal. Mathias Haage's co-authors include Klas Nilsson, Anders Robertsson, Elin Anna Topp, Maj Stenmark, Rolf Johansson, Jacek Malec, Torgny Brogårdh, Mats Björkman, Tomas Olsson and Henrik Kihlman and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Robotics and Computer-Integrated Manufacturing and IEEE Robotics & Automation Magazine.

In The Last Decade

Mathias Haage

26 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Haage Sweden 10 247 135 134 95 67 26 388
Zhimin Hou China 11 229 0.9× 92 0.7× 99 0.7× 113 1.2× 76 1.1× 28 380
Hyeonjun Park South Korea 8 291 1.2× 98 0.7× 108 0.8× 167 1.8× 32 0.5× 13 352
Mikkel Rath Pedersen Denmark 9 285 1.2× 257 1.9× 110 0.8× 48 0.5× 64 1.0× 13 500
Nicola Maria Ceriani Italy 7 304 1.2× 93 0.7× 90 0.7× 104 1.1× 35 0.5× 8 441
Ana Djuric United States 8 183 0.7× 154 1.1× 75 0.6× 70 0.7× 20 0.3× 42 378
Esther Gonzalez‐Sarabia Spain 4 208 0.8× 133 1.0× 57 0.4× 103 1.1× 31 0.5× 7 430
Stefania Pellegrinelli Italy 13 212 0.9× 328 2.4× 108 0.8× 37 0.4× 36 0.5× 31 537
B.K. Rout India 9 108 0.4× 75 0.6× 80 0.6× 42 0.4× 27 0.4× 37 315
Nikhil Somani Germany 13 256 1.0× 144 1.1× 71 0.5× 74 0.8× 106 1.6× 28 526
Gregory Rossano United States 7 207 0.8× 100 0.7× 67 0.5× 62 0.7× 50 0.7× 13 326

Countries citing papers authored by Mathias Haage

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Haage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Haage

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Haage. A scholar is included among the top collaborators of Mathias Haage 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 Mathias Haage. Mathias Haage 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
1.
Haage, Mathias, et al.. (2023). Bettan - Industrial robot and application for Finja Exakt build system. Proceedings of the ... ISARC. 1 indexed citations
2.
Haage, Mathias, et al.. (2022). Insights into automation of construction process using parallel-kinematic manipulators. Proceedings of the ... ISARC. 3 indexed citations
3.
Haage, Mathias, et al.. (2020). Parallel Kinematic Construction Robot for AEC Industry. Proceedings of the ... ISARC. 3 indexed citations
4.
Perzylo, Alexander, Markus Rickert, Nikhil Somani, et al.. (2019). SMErobotics: Smart Robots for Flexible Manufacturing. IEEE Robotics & Automation Magazine. 26(1). 78–90. 61 indexed citations
5.
Stenmark, Maj, Mathias Haage, Elin Anna Topp, & Jacek Malec. (2018). Supporting Semantic Capture During Kinesthetic Teaching of Collaborative Industrial Robots. International Journal of Semantic Computing. 12(1). 167–186. 10 indexed citations
6.
Haage, Mathias, et al.. (2017). YuMi low-level motion guidance using the Julia programming language and Externally Guided Motion Research Interface. 2 indexed citations
7.
Stenmark, Maj, Mathias Haage, Elin Anna Topp, & Jacek Malec. (2017). Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly. National Conference on Artificial Intelligence. 691–695. 4 indexed citations
8.
Haage, Mathias, Ioannis Mariolis, Jacek Malec, et al.. (2017). Teaching Assembly by Demonstration Using Advanced Human Robot Interaction and a Knowledge Integration Framework. Procedia Manufacturing. 11. 164–173. 23 indexed citations
9.
Haage, Mathias, Jacek Malec, A.W. Nilsson, Maj Stenmark, & Elin Anna Topp. (2017). Semantic Modelling of Hybrid Controllers for Robotic Cells. Procedia Manufacturing. 11. 292–299. 2 indexed citations
10.
Stenmark, Maj, Mathias Haage, Elin Anna Topp, & Jacek Malec. (2017). Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots. Lund University Publications (Lund University). 366–371. 1 indexed citations
11.
Stenmark, Maj, Andreas Stolt, Elin Anna Topp, et al.. (2016). The GiftWrapper: Programming a Dual-Arm Robot With Lead-through. 3 indexed citations
12.
Haage, Mathias, et al.. (2014). Increasing Robotic Machining Accuracy Using Offline Compensation Based on Joint-Motion Simulation. Lund University Publications (Lund University). 1–8. 1 indexed citations
13.
Lehmann, Christian, Björn Olofsson, Klas Nilsson, et al.. (2013). Robot Joint Modeling and Parameter Identification Using the Clamping Method. IFAC Proceedings Volumes. 46(9). 813–818. 29 indexed citations
14.
Björkelund, Anders, Mathias Haage, Jacek Malec, et al.. (2011). On the integration of skilled robot motions for productivity in manufacturing. Lund University Publications (Lund University). 1–9. 43 indexed citations
15.
Björkelund, Anders, et al.. (2010). A Knowledge Integration Framework for Robotics. Lund University Publications (Lund University). 1–8. 15 indexed citations
16.
Bolmsjö, Gunnar, et al.. (2010). Service oriented architecture for automatic planning and programming of industrial robots. Lund University Publications (Lund University). 2 indexed citations
17.
Haage, Mathias, et al.. (2009). Reconfigurable Parallel Kinematic Manipulator for Flexible Manufacturing. IFAC Proceedings Volumes. 42(4). 145–150. 1 indexed citations
18.
Olsson, Tomas, Mathias Haage, Henrik Kihlman, et al.. (2009). Cost-efficient drilling using industrial robots with high-bandwidth force feedback. Robotics and Computer-Integrated Manufacturing. 26(1). 24–38. 118 indexed citations
19.
Haage, Mathias, et al.. (2007). Configuration Support and Kinematics for a Reconfigurable Gantry-Tau Manipulator. Lund University Publications (Lund University). 2957–2962. 7 indexed citations
20.
Kihlman, Henrik, et al.. (2007). On the Use of Force Feedback for Cost Efficient Robotic Drilling. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 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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