Alexander Schmitz

2.1k total citations
83 papers, 1.6k citations indexed

About

Alexander Schmitz is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Alexander Schmitz has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Biomedical Engineering, 41 papers in Control and Systems Engineering and 39 papers in Cognitive Neuroscience. Recurrent topics in Alexander Schmitz's work include Robot Manipulation and Learning (36 papers), Tactile and Sensory Interactions (34 papers) and Advanced Sensor and Energy Harvesting Materials (30 papers). Alexander Schmitz is often cited by papers focused on Robot Manipulation and Learning (36 papers), Tactile and Sensory Interactions (34 papers) and Advanced Sensor and Energy Harvesting Materials (30 papers). Alexander Schmitz collaborates with scholars based in Japan, Italy and United Kingdom. Alexander Schmitz's co-authors include Shigeki Sugano, Lorenzo Natale, Giorgio Metta, Sophon Somlor, Marco Maggiali, Tito Pradhono Tomo, Lorenzo Jamone, Giorgio Cannata, Perla Maiolino and Harris Kristanto and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Alexander Schmitz

76 papers receiving 1.6k citations

Peers

Alexander Schmitz

CSE

EEE

Vincent Duchaine Canada

Marco Maggiali Italy

Giorgio Cannata Italy

Juan Antonio Corrales Ramón Spain

Perla Maiolino United Kingdom

Stefano Roccella Italy

Akihiko Nagakubo Japan

Shan Luo United Kingdom

Lorenzo Jamone United Kingdom

Mohsen Kaboli Germany

Vincent Duchaine Canada

Alexander Schmitz

1.1k ×1.0

529 ×0.6

617 ×1.0

CSE

345 ×1.5

154 ×0.8

EEE

Citations per year, relative to Alexander Schmitz Alexander Schmitz (= 1×) peers Vincent Duchaine

Countries citing papers authored by Alexander Schmitz

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Schmitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Schmitz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schmitz, Alexander, et al.. (2025). Multifingered Object Recognition with Tactile Sensors and Graph Convolutional Networks using Topological Graph Segmentation. 671–678.

Schmitz, Alexander, et al.. (2024). Tactile Object Property Recognition Using Geometrical Graph Edge Features and Multi-Thread Graph Convolutional Network. IEEE Robotics and Automation Letters. 9(4). 3894–3901. 5 indexed citations

Schmitz, Alexander, et al.. (2024). uSkin Pillow: Tactile-Sensor-Based Non-Invasive Approach to Sleep Analysis. 349–354.

Arifin, Muhammad, et al.. (2024). A Combination of a Controllable Clutch and an Oscillating Slider Crank Mechanism for Ease of Direct-Teaching with Various Payloads. 15002–15008.

Schmitz, Alexander, et al.. (2022). Multi-Fingered In-Hand Manipulation With Various Object Properties Using Graph Convolutional Networks and Distributed Tactile Sensors. IEEE Robotics and Automation Letters. 7(2). 2102–2109. 31 indexed citations

Yan, Gang, et al.. (2022). Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7587–7601. 15 indexed citations

Schmitz, Alexander, et al.. (2022). A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning. IEEE Robotics and Automation Letters. 7(3). 6822–6829. 16 indexed citations

Schmitz, Alexander, et al.. (2020). Investigating the Strain Behaviour of Dyneema under Cyclic Loads. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020(0). 1P2–K05. 1 indexed citations

Schmitz, Alexander, et al.. (2019). Morphology Specific Stepwise Learning of In-Hand Manipulation With a Four-Fingered Hand. IEEE Transactions on Industrial Informatics. 16(1). 433–441. 11 indexed citations

10.

Kristanto, Harris, Alexander Schmitz, Chin-Cheng Hsu, et al.. (2019). Development of a 3-axis Human Fingertip Tactile Sensor Based on Distributed Hall Effect Sensors. 1–7. 4 indexed citations

11.

Kristanto, Harris, Chin-Cheng Hsu, Alexander Schmitz, et al.. (2019). Development of a 3-axis Human Fingertip Tactile Sensor with an Ortho-Planar Spring. 297–302. 4 indexed citations

12.

Tomo, Tito Pradhono, Alexander Schmitz, Lorenzo Natale, et al.. (2018). A New Silicone Structure for uSkin—A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub. IEEE Robotics and Automation Letters. 3(3). 2584–2591. 102 indexed citations

13.

Schmitz, Alexander, et al.. (2018). Object Recognition Through Active Exploration Using a Multi-Fingered Robot Hand with 3D Tactile Sensors. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 1P2–G16. 1 indexed citations

14.

Kristanto, Harris, et al.. (2018). A Wearable Three-Axis Tactile Sensor for Human Fingertips. IEEE Robotics and Automation Letters. 3(4). 4313–4320. 17 indexed citations

15.

Schmitz, Alexander, et al.. (2018). Object Recognition Through Active Sensing Using a Multi-Fingered Robot Hand with 3D Tactile Sensors. 2589–2595. 32 indexed citations

16.

Somlor, Sophon, et al.. (2017). Development of a Small-sized Capacitive 6-axis Force/Torque Sensor with a New Arrangement. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 1A1–N03. 1 indexed citations

17.

Kristanto, Harris, et al.. (2017). A Wearable Sensor for Fingertips That Can Measure 3-Axis Force. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2017(0). 1A1–O03. 2 indexed citations

18.

Tomo, Tito Pradhono, et al.. (2017). Wayang Robot with Gamelan Music Pattern Recognition. Journal of Robotics and Mechatronics. 29(1). 137–145. 2 indexed citations

19.

Arie, Hiroaki, et al.. (2016). Improving IMES Localization Accuracy by Integrating Dead Reckoning Information. Sensors. 16(2). 163–163. 4 indexed citations

20.

Tomo, Tito Pradhono, Sophon Somlor, Alexander Schmitz, et al.. (2015). Development of a hall-effect based skin sensor. 1–4. 15 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.

Explore authors with similar magnitude of impact