Michael Niemeyer
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Andreas GeigerJonathan T. BarronBen MildenhallMehdi S. M. SajjadiNoha RadwanMichael OechsleLars MeschederFederico Tombari
- Topics
- Computer Graphics and Visualization Techniques (8 papers)3D Shape Modeling and Analysis (6 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael Niemeyer
14 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 491
- Computer Graphics and Computer-Aided Design 322
- Computational Mechanics 285
- Aerospace Engineering 69
- Control and Systems Engineering 49
Countries citing papers authored by Michael Niemeyer
This map shows the geographic impact of Michael Niemeyer'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 Michael Niemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Niemeyer more than expected).
Fields of papers citing papers by Michael Niemeyer
This network shows the impact of papers produced by Michael Niemeyer. 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 Michael Niemeyer. The network helps show where Michael Niemeyer may publish in the future.
Co-authorship network of co-authors of Michael Niemeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Niemeyer. A scholar is included among the top collaborators of Michael Niemeyer 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 Michael Niemeyer. Michael Niemeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 34 | |
| 6 | 5 | |
| 7 | 23 | |
| 8 | 87 | |
| 9 | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputsbreakdown → | 284 |
| 10 | GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis | 23 |
| 11 | 133 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 2 |
About Michael Niemeyer
Michael Niemeyer is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 14 papers that have together received 629 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (322 citations), Computer Vision and Pattern Recognition (491 citations) and Computational Mechanics (285 citations). Michael Niemeyer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Andreas Geiger, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Noha Radwan, Michael Oechsle, Lars Mescheder, Federico Tombari, Fabian Manhardt and Alessio Tonioni. Their work appears in journals such as Water Resources Research, Computer Graphics Forum and IEEE Robotics and Automation Letters.
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.