H. Seidel
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Martin SunkelNils HaslerCarsten StollBodo RosenhahnVolker BlanzGerhard FettweisHolger TheiselJianjun Zhang
- Topics
- 3D Shape Modeling and Analysis (7 papers)Computer Graphics and Visualization Techniques (6 papers)Embedded Systems Design Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
H. Seidel
24 papers receiving 466 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 327
- Computational Mechanics 279
- Computer Graphics and Computer-Aided Design 120
- Control and Systems Engineering 68
- Electrical and Electronic Engineering 32
Countries citing papers authored by H. Seidel
This map shows the geographic impact of H. Seidel'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 H. Seidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Seidel more than expected).
Fields of papers citing papers by H. Seidel
This network shows the impact of papers produced by H. Seidel. 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 H. Seidel. The network helps show where H. Seidel may publish in the future.
Co-authorship network of co-authors of H. Seidel
This figure shows the co-authorship network connecting the top 25 collaborators of H. Seidel. A scholar is included among the top collaborators of H. Seidel 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 H. Seidel. H. Seidel 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 | 5 | |
| 3 | Challenging the Principles of the Beyond Budgeting Model : Can you really go beyond? | 1 |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 26 | |
| 7 | 14 | |
| 8 | 257 | |
| 9 | 11 | |
| 10 | 59 | |
| 11 | A task-based MPSoC programming model | 1 |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | Functional Elements in E2E Reconfigurable Equipment | 1 |
| 19 | 7 | |
| 20 | 7 |
About H. Seidel
H. Seidel is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computational Mechanics, having authored 24 papers that have together received 485 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (120 citations), Computer Vision and Pattern Recognition (327 citations) and Computational Mechanics (279 citations). H. Seidel has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Martin Sunkel, Nils Hasler, Carsten Stoll, Bodo Rosenhahn, Volker Blanz, Gerhard Fettweis, Holger Theisel, Jianjun Zhang, Alexander Belyaev and Jian Chang. Their work appears in journals such as Computer Graphics Forum, IEEE Computer Graphics and Applications and Chemie Ingenieur Technik.
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.