Gábor Sziebig
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Péter KöröndiEsten Ingar GrøtliBéla TakaricsCsaba KissSakari PieskäRoel PietersNoriaki AndoWei Deng Solvang
- Topics
- Robotics and Automated Systems (16 papers)Digital Transformation in Industry (9 papers)Robot Manipulation and Learning (8 papers)
In The Last Decade
Gábor Sziebig
46 papers receiving 429 citations
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 194
- Industrial and Manufacturing Engineering 144
- Mechanical Engineering 128
- Computer Vision and Pattern Recognition 51
- Biomedical Engineering 50
Countries citing papers authored by Gábor Sziebig
This map shows the geographic impact of Gábor Sziebig'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 Gábor Sziebig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Sziebig more than expected).
Fields of papers citing papers by Gábor Sziebig
This network shows the impact of papers produced by Gábor Sziebig. 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 Gábor Sziebig. The network helps show where Gábor Sziebig may publish in the future.
Co-authorship network of co-authors of Gábor Sziebig
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Sziebig. A scholar is included among the top collaborators of Gábor Sziebig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gábor Sziebig. Gábor Sziebig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 122 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | Shop-Floor Architecture for Effective Human- Machine and Inter-Machine Interaction | 13 |
| 14 | 5 | |
| 15 | 26 | |
| 16 | Small batch size robot programming with human in the loop | 1 |
| 17 | Achieving total immersion: technology trends behind augmented reality-a survey | 13 |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 6 |
About Gábor Sziebig
Gábor Sziebig is a scholar working on Industrial and Manufacturing Engineering, Computational Mathematics and Control and Systems Engineering, having authored 47 papers that have together received 456 indexed citations. Recurring topics across this work include Robotics and Automated Systems (16 papers), Digital Transformation in Industry (9 papers) and Robot Manipulation and Learning (8 papers). The work is most often cited by research in Computational Mathematics (13 citations), Industrial and Manufacturing Engineering (144 citations) and Control and Systems Engineering (194 citations). Gábor Sziebig has collaborated with scholars based in Norway, Hungary and Japan. Frequent co-authors include Péter Köröndi, Esten Ingar Grøtli, Béla Takarics, Csaba Kiss, Sakari Pieskä, Roel Pieters, Noriaki Ando, Wei Deng Solvang, S. V. Kuzin and I. Nagy. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Industrial Electronics Magazine.
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.