Erich Rome
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Aerospace Engineering top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Co-authors
- Simone FrintropHenrik I. ChristensenJoachim HertzbergThomas ChristallerFrank KirchnerGeorg DorffnerLucas PalettaHartmut Surmann
- Topics
- Visual Attention and Saliency Detection (5 papers)Simulation Techniques and Applications (4 papers)Robotics and Sensor-Based Localization (4 papers)
In The Last Decade
Erich Rome
28 papers receiving 609 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 320
- Cognitive Neuroscience 114
- Aerospace Engineering 100
- Human-Computer Interaction 78
- Artificial Intelligence 71
Countries citing papers authored by Erich Rome
This map shows the geographic impact of Erich Rome'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 Erich Rome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Rome more than expected).
Fields of papers citing papers by Erich Rome
This network shows the impact of papers produced by Erich Rome. 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 Erich Rome. The network helps show where Erich Rome may publish in the future.
Co-authorship network of co-authors of Erich Rome
This figure shows the co-authorship network connecting the top 25 collaborators of Erich Rome. A scholar is included among the top collaborators of Erich Rome 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 Erich Rome. Erich Rome is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 33 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | DIESIS: an interoperable European federated simulation network for critical infrastructures | 9 |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | A Custom IR Scanner for Landmark Detection with the Autonomous Sewer Robot MAKRO | 16 |
| 19 | 88 | |
| 20 | LAOKOON - lernfähige autonome kooperierende Kanalroboter. | 1 |
About Erich Rome
Erich Rome is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Management Science and Operations Research, having authored 28 papers that have together received 651 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (5 papers), Simulation Techniques and Applications (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (320 citations), Human-Computer Interaction (78 citations) and Sensory Systems (51 citations). Erich Rome has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Simone Frintrop, Henrik I. Christensen, Joachim Hertzberg, Thomas Christaller, Frank Kirchner, Georg Dorffner, Lucas Paletta, Hartmut Surmann, Ralph Breithaupt and Maria Klodt. Their work appears in journals such as Computer Networks, Computer Vision and Image Understanding 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.