Daniel Nyga
Impact in
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- Multimodal Machine Learning Applications
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
Papers in
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- Natural Language Processing Techniques 8
- AI-based Problem Solving and Planning 7
- Topic Modeling 5
- Semantic Web and Ontologies 4
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- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Michael Beetz (12 shared papers)Moritz Tenorth (2 shared papers)Ferenc Bálint-Benczédi (3 shared papers)Zoltán-Csaba Márton (1 shared paper)Nico Blodow (1 shared paper)Mihai Pomarlan (3 shared papers)Rohan Paul (1 shared paper)Subhro Roy (1 shared paper)
- Journals
- Media (https://www.suub.uni-bremen.de/) (1 paper)elib (German Aerospace Center) (1 paper)Adaptive Agents and Multi-Agents Systems (2 papers)
- Partner nations
- Germany
In The Last Decade
Daniel Nyga
13 papers receiving 233 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 107
- Artificial Intelligence 161
- Control and Systems Engineering 106
- Human-Computer Interaction 6
- Aerospace Engineering 21
Countries citing papers authored by Daniel Nyga
This map shows the geographic impact of Daniel Nyga'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 Daniel Nyga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nyga more than expected).
Fields of papers citing papers by Daniel Nyga
This network shows the impact of papers produced by Daniel Nyga. 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 Daniel Nyga. The network helps show where Daniel Nyga may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Nyga, 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 | 2010 | 89 | |
| 2 | 2015 | 45 | |
| 3 | 2012 | 32 | |
| 4 | 2014 | 19 | |
| 5 | 2015 | 16 | |
| 6 | Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge | 2018 | 15 |
| 7 | 2011 | 10 | |
| 8 | 2017 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2017 | 5 | |
| 11 | Deeper Understanding of Vague Instructions through Simulated Execution (Extended Abstract) | 2017 | 2 |
| 12 | 2017 | 1 | |
| 13 | Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning | 2017 | 1 |
About Daniel Nyga
Daniel Nyga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering and Hardware and Architecture, having authored 13 papers that have together received 247 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), AI-based Problem Solving and Planning (7 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (4 papers), Robotics and Sensor-Based Localization (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Artificial Intelligence (161 citations), Control and Systems Engineering (106 citations), Human-Computer Interaction (6 citations) and Aerospace Engineering (21 citations). Daniel Nyga has collaborated with scholars based in Germany. Frequent co-authors include Michael Beetz, Moritz Tenorth, Ferenc Bálint-Benczédi, Zoltán-Csaba Márton, Nico Blodow, Mihai Pomarlan, Rohan Paul, Subhro Roy, Nicholas Roy and Daehyung Park. Their work appears in journals such as Media (https://www.suub.uni-bremen.de/), elib (German Aerospace Center) and Adaptive Agents and Multi-Agents 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.