Daniel Beßler
Impact in
-
- Robotics and Automated Systems
- Robot Manipulation and Learning
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Reinforcement Learning in Robotics
Papers in
-
- AI-based Problem Solving and Planning 14
- Semantic Web and Ontologies 10
- Logic, Reasoning, and Knowledge 5
-
- Robot Manipulation and Learning 4
- Robotics and Automated Systems 2
- Co-authors
- Michael Beetz (17 shared papers)Mihai Pomarlan (11 shared papers)Asil Kaan Bozcuoğlu (3 shared papers)Georg Bartels (3 shared papers)Jan Rosell (5 shared papers)John A. Bateman (6 shared papers)Mohammed O. Diab (4 shared papers)Marcos Ennes Barreto (2 shared papers)
In The Last Decade
Daniel Beßler
16 papers receiving 341 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 156
- Artificial Intelligence 203
- Computer Vision and Pattern Recognition 96
- Industrial and Manufacturing Engineering 43
- Computer Networks and Communications 30
Countries citing papers authored by Daniel Beßler
This map shows the geographic impact of Daniel Beßler'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 Beßler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Beßler more than expected).
Fields of papers citing papers by Daniel Beßler
This network shows the impact of papers produced by Daniel Beßler. 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 Beßler. The network helps show where Daniel Beßler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Beßler, 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 | 2018 | 150 | |
| 2 | 2019 | 94 | |
| 3 | 2018 | 20 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 9 | |
| 9 | Knowledge Representation for Cognition- and Learning-enabled Robot Manipulation | 2018 | 7 |
| 10 | 2021 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2020 | 0 | |
| 19 | 2015 | 0 |
About Daniel Beßler
Daniel Beßler is a scholar working on Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (14 papers), Semantic Web and Ontologies (10 papers), Logic, Reasoning, and Knowledge (5 papers), Robot Manipulation and Learning (4 papers), Biomedical Text Mining and Ontologies (3 papers), Robotics and Automated Systems (2 papers), Manufacturing Process and Optimization (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Control and Systems Engineering (156 citations), Artificial Intelligence (203 citations), Computer Vision and Pattern Recognition (96 citations), Industrial and Manufacturing Engineering (43 citations) and Computer Networks and Communications (30 citations). Daniel Beßler has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Michael Beetz, Mihai Pomarlan, Asil Kaan Bozcuoğlu, Georg Bartels, Jan Rosell, John A. Bateman, Mohammed O. Diab, Marcos Ennes Barreto, Aliakbar Akbari and Paulo J. S. Gonçalves. Their work appears in journals such as The Knowledge Engineering Review, Springer tracts in advanced robotics, Robotics and Autonomous Systems, Künstliche Intell. and Lecture notes in computer science.
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.