Simon Schmitt
Impact in
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems
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- Indoor and Outdoor Localization Technologies
- Millimeter-Wave Propagation and Modeling
Papers in
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- Underwater Vehicles and Communication Systems 9
- Automated Road and Building Extraction 2
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- Indoor and Outdoor Localization Technologies 10
- Co-authors
- Marcel Kyas (11 shared papers)Wojciech Marian Czarnecki (1 shared paper)Lasse Espeholt (1 shared paper)Hado van Hasselt (3 shared papers)Matteo Hessel (1 shared paper)Hubert Soyer (1 shared paper)Katinka Wolter (2 shared papers)Yuan Yang (2 shared papers)
- Journals
- Journal of Manufacturing and Materials Processing (1 paper)International Conference on Machine Learning (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- GermanyUnited KingdomIceland
In The Last Decade
Simon Schmitt
20 papers receiving 353 citations
Peers
Comparison fields: 5 of 68
- Ocean Engineering 73
- Electrical and Electronic Engineering 190
- Artificial Intelligence 108
- Computer Science Applications 18
- Aerospace Engineering 74
Countries citing papers authored by Simon Schmitt
This map shows the geographic impact of Simon Schmitt'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 Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Schmitt more than expected).
Fields of papers citing papers by Simon Schmitt
This network shows the impact of papers produced by Simon Schmitt. 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 Schmitt. The network helps show where Simon Schmitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Schmitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2015 | 48 | |
| 3 | 2012 | 45 | |
| 4 | 2015 | 31 | |
| 5 | 2020 | 22 | |
| 6 | 2014 | 19 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 8 | |
| 9 | 2012 | 8 | |
| 10 | 2014 | 8 | |
| 11 | Learning and Planning in Complex Action Spaces | 2021 | 7 |
| 12 | 2014 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2014 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Simon Schmitt
Simon Schmitt is a scholar working on Ocean Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 20 papers that have together received 363 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (10 papers), Underwater Vehicles and Communication Systems (9 papers), Robotics and Sensor-Based Localization (5 papers), Reinforcement Learning in Robotics (3 papers), Automated Road and Building Extraction (2 papers), Fault Detection and Control Systems (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Ocean Engineering (73 citations), Electrical and Electronic Engineering (190 citations), Artificial Intelligence (108 citations), Computer Science Applications (18 citations) and Aerospace Engineering (74 citations). Simon Schmitt has collaborated with scholars based in Germany, United Kingdom and Iceland. Frequent co-authors include Marcel Kyas, Wojciech Marian Czarnecki, Lasse Espeholt, Hado van Hasselt, Matteo Hessel, Hubert Soyer, Katinka Wolter, Yuan Yang, Adam Wolisz and Vlado Handziski. Their work appears in journals such as Journal of Manufacturing and Materials Processing, International Conference on Machine Learning and Proceedings of the AAAI Conference on Artificial Intelligence.
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.