Daniel Nyga

6 papers and 110 indexed citations i.

About

Daniel Nyga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Daniel Nyga has authored 6 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Daniel Nyga’s work include AI-based Problem Solving and Planning (3 papers), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (2 papers). Daniel Nyga is often cited by papers focused on AI-based Problem Solving and Planning (3 papers), Natural Language Processing Techniques (3 papers) and Semantic Web and Ontologies (2 papers). Daniel Nyga collaborates with scholars based in Germany. Daniel Nyga's co-authors include Michael Beetz, Moritz Tenorth, Ferenc Bálint-Benczédi and Mihai Pomarlan and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Co-authorship network of co-authors of Daniel Nyga i

Fields of papers citing papers by Daniel Nyga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Nyga

Since Specialization
Citations

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).

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.

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