Alexander Schmitz
- Biomedical Engineering top 2%
- Cognitive Neuroscience top 2%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Shigeki SuganoLorenzo NataleGiorgio MettaSophon SomlorMarco MaggialiTito Pradhono TomoLorenzo JamoneGiorgio Cannata
- Topics
- Robot Manipulation and Learning (36 papers)Tactile and Sensory Interactions (34 papers)Advanced Sensor and Energy Harvesting Materials (30 papers)
- Journals
- SensorsIEEE Transactions on Industrial InformaticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- JapanItalyUnited Kingdom
In The Last Decade
Alexander Schmitz
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 1.1k
- Cognitive Neuroscience 816
- Control and Systems Engineering 595
- Mechanical Engineering 235
- Electrical and Electronic Engineering 192
Countries citing papers authored by Alexander Schmitz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 31 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 102 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 32 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 15 |
About Alexander Schmitz
Alexander Schmitz is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Biomedical Engineering, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (36 papers), Tactile and Sensory Interactions (34 papers) and Advanced Sensor and Energy Harvesting Materials (30 papers). The work is most often cited by research in Cognitive Neuroscience (816 citations), Human-Computer Interaction (159 citations) and Control and Systems Engineering (595 citations). Alexander Schmitz has collaborated with scholars based in Japan, Italy and United Kingdom. Frequent 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. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.