Michael Spranger
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Cultural Studies top 2%
- Language and cultural evolution
Papers in
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- Language and cultural evolution 16
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- Reinforcement Learning in Robotics 7
- Natural Language Processing Techniques 7
- Co-authors
- Luc Steels (13 shared papers)Luciano Serafini (3 shared papers)Artur d’Avila Garcez (3 shared papers)Martin Loetzsch (9 shared papers)Marco Gori (1 shared paper)Son N. Tran (1 shared paper)Luís C. Lamb (1 shared paper)Jaewoo Kang (2 shared papers)
In The Last Decade
Michael Spranger
58 papers receiving 912 citations
Michael Spranger's Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 563
- Cultural Studies 113
- Automotive Engineering 74
- Language and Linguistics 85
- Experimental and Cognitive Psychology 84
Countries citing papers authored by Michael Spranger
This map shows the geographic impact of Michael Spranger'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 Michael Spranger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Spranger more than expected).
Fields of papers citing papers by Michael Spranger
This network shows the impact of papers produced by Michael Spranger. 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 Michael Spranger. The network helps show where Michael Spranger may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Spranger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Outracing champion Gran Turismo drivers with deep reinforcement learning Hit paper breakdown → | 2022 | 260 |
| 2 | 2021 | 156 | |
| 3 | 2019 | 77 | |
| 4 | 2021 | 39 | |
| 5 | 2012 | 33 | |
| 6 | 2008 | 32 | |
| 7 | 2012 | 25 | |
| 8 | 2009 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2012 | 19 | |
| 11 | 2012 | 17 | |
| 12 | 2012 | 16 | |
| 13 | Co-acquisition of syntax and semantics: an investigation in spatial language | 2015 | 16 |
| 14 | 2021 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2006 | 13 | |
| 18 | 2010 | 12 | |
| 19 | GermanTeam 2004 - The German National RoboCup Team | 2004 | 11 |
| 20 | 2012 | 11 |
About Michael Spranger
Michael Spranger is a scholar working on Cultural Studies, Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics and Social Psychology, having authored 65 papers that have together received 1k indexed citations. Recurring topics across this work include Language and cultural evolution (16 papers), Categorization, perception, and language (16 papers), Syntax, Semantics, Linguistic Variation (10 papers), Social Robot Interaction and HRI (10 papers), Embodied and Extended Cognition (8 papers), Reinforcement Learning in Robotics (7 papers), Natural Language Processing Techniques (7 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Artificial Intelligence (563 citations), Cultural Studies (113 citations), Automotive Engineering (74 citations), Language and Linguistics (85 citations) and Experimental and Cognitive Psychology (84 citations). Michael Spranger has collaborated with scholars based in Japan, Belgium and Germany. Frequent co-authors include Luc Steels, Luciano Serafini, Artur d’Avila Garcez, Martin Loetzsch, Marco Gori, Son N. Tran, Luís C. Lamb, Jaewoo Kang, Manfred Hild and Sebastian Höfer. Their work appears in journals such as Nature, IEEE Transactions on Knowledge and Data Engineering, Artificial Life, Advanced Engineering Informatics and Scientific Reports.
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.