Hans-Hellmut Nagel
About
In The Last Decade
Hans-Hellmut Nagel
117 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 3.4k
- Aerospace Engineering 746
- Media Technology 443
- Automotive Engineering 431
- Artificial Intelligence 366
Countries citing papers authored by Hans-Hellmut Nagel
This map shows the geographic impact of Hans-Hellmut Nagel'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 Hans-Hellmut Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans-Hellmut Nagel more than expected).
Fields of papers citing papers by Hans-Hellmut Nagel
This network shows the impact of papers produced by Hans-Hellmut Nagel. 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 Hans-Hellmut Nagel. The network helps show where Hans-Hellmut Nagel may publish in the future.
Co-authorship network of co-authors of Hans-Hellmut Nagel
This figure shows the co-authorship network connecting the top 25 collaborators of Hans-Hellmut Nagel. A scholar is included among the top collaborators of Hans-Hellmut Nagel 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 Hans-Hellmut Nagel. Hans-Hellmut Nagel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cognitive Vision Systems: Sampling the Spectrum of Approaches (Lecture Notes in Computer Science) | 1 |
| 2 | 13 | |
| 3 | Qualitative reasoning Feeding Back into quantitative model-based tracking | 1 |
| 4 | Deriving textual descriptions of road traffic queues from Video Sequences | 16 |
| 5 | 14 | |
| 6 | 0 | |
| 7 | 52 | |
| 8 | Ermittlung von begrifflichen Beschreibungen von Geschehen in Straßenverkehrsszenen mit Hilfe unscharfer Mengen. | 10 |
| 9 | Berechnung von Bewegungsverben zur Beschreibung von aus Bildfolgen gewonnenen Fahrzeugtrajektorien in Strassenverkehrsszenen | 3 |
| 10 | 4 | |
| 11 | PROMETHEUS session | 1 |
| 12 | Database Support for Knowledge-Based Image Evaluation | 12 |
| 13 | Principles of (low-level) computer vision | 10 |
| 14 | 10 | |
| 15 | Analyse und Interpretation von Bildfolgen II. | 7 |
| 16 | Constraints for the estimation of displacement vector fields from image sequences | 82 |
| 17 | On 3D reconstruction from two perspective views | 28 |
| 18 | Separating non-stationary from stationary scene components in a sequence of real world TV-images | 59 |
| 19 | Analysing sequences of TV-frames | 4 |
| 20 | ELECTRON PHOTON CASCADE SHOWERS IN LEAD: MONTE CARLO COMPUTATIONS OF PRIMARY ELECTRON ENERGIES BETWEEN 100-MEV AND 1000-MeV | 43 |
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.