Jan Novák
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.2%
- Computational Mechanics top 2%
- Environmental Engineering top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Wojciech JaroszCarsten DachsbacherFabrice RousselleThomas MüllerBrian McWilliamsMarkus GroßThijs VogelsMark Meyer
- Topics
- Computer Graphics and Visualization Techniques (36 papers)Advanced Vision and Imaging (20 papers)3D Shape Modeling and Analysis (14 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAcoustics and Ultrasonics
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jan Novák
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.1k
- Computer Graphics and Computer-Aided Design 987
- Computational Mechanics 412
- Environmental Engineering 99
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Jan Novák
This map shows the geographic impact of Jan Novák'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 Jan Novák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Novák more than expected).
Fields of papers citing papers by Jan Novák
This network shows the impact of papers produced by Jan Novák. 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 Jan Novák. The network helps show where Jan Novák may publish in the future.
Co-authorship network of co-authors of Jan Novák
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Novák. A scholar is included among the top collaborators of Jan Novák 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 Jan Novák. Jan Novák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 21 | |
| 7 | 0 | |
| 8 | 83 | |
| 9 | 18 | |
| 10 | 19 | |
| 11 | 38 | |
| 12 | 14 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 92 | |
| 16 | 3 | |
| 17 | 35 | |
| 18 | 1 | |
| 19 | Zoning Control of Abortion Clinics | 1 |
| 20 | [Supernumerary tooth in the dentition of the macaca]. | 1 |
About Jan Novák
Jan Novák is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (36 papers), Advanced Vision and Imaging (20 papers) and 3D Shape Modeling and Analysis (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (987 citations), Computer Vision and Pattern Recognition (1.1k citations) and Acoustics and Ultrasonics (23 citations). Jan Novák has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Wojciech Jarosz, Carsten Dachsbacher, Fabrice Rousselle, Thomas Müller, Brian McWilliams, Markus Groß, Thijs Vogels, Mark Meyer, Derek Nowrouzezahrai and Benedikt Bitterli. Their work appears in journals such as ACM Transactions on Graphics, Plastic & Reconstructive Surgery and Psychoneuroendocrinology.
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.