Michael Niemeyer

2.8k total citations · 1 hit paper
14 papers, 629 citations indexed

About

Michael Niemeyer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Michael Niemeyer has authored 14 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computational Mechanics. Recurrent topics in Michael Niemeyer's work include Computer Graphics and Visualization Techniques (8 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). Michael Niemeyer is often cited by papers focused on Computer Graphics and Visualization Techniques (8 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). Michael Niemeyer collaborates with scholars based in United States, Germany and Switzerland. Michael Niemeyer's 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 and has published in prestigious journals such as Water Resources Research, Computer Graphics Forum and IEEE Robotics and Automation Letters.

In The Last Decade

Michael Niemeyer

14 papers receiving 611 citations

Hit Papers

RegNeRF: Regularizing Neural Radiance Fields for View Syn... 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
    2022 284 citations Michael Niemeyer, Jonathan T. Barron et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Michael Niemeyer
Fanbo Xiang United States
Anpei Chen China
Vickie Ye United States
Jeremy Reizenstein United Kingdom
Keunhong Park United States
Yuanqing Zhang China
Richard Tucker United States
Eric R. Chan United States
Sai Bi United States
Nikhil Gagvani United States
Fanbo Xiang United States
Michael Niemeyer
Citations per year, relative to Michael Niemeyer Michael Niemeyer (= 1×) peers Fanbo Xiang

Countries citing papers authored by Michael Niemeyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Niemeyer, Michael, Fabian Manhardt, Marie‐Julie Rakotosaona, et al.. (2025). RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real- Time Rendering with 900+ FPS. 134–144. 6 indexed citations
2.
Sandström, Erik, Gan‐Lin Zhang, Keisuke Tateno, et al.. (2025). Splat-SLAM: Globally Optimized RGB-Only SLAM with 3D Gaussians. 1671–1682. 3 indexed citations
3.
Matsuki, Hidenobu, Keisuke Tateno, Michael Niemeyer, & Federico Tombari. (2024). NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM. IEEE Robotics and Automation Letters. 9(4). 3704–3711. 6 indexed citations
4.
Lenssen, Jan Eric, Michael Niemeyer, Yiyi Liao, et al.. (2024). Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes. Computer Graphics Forum. 43(2). 12 indexed citations
5.
Manhardt, Fabian, et al.. (2024). TextMesh: Generation of Realistic 3D Meshes From Text Prompts. 1554–1563. 34 indexed citations
6.
Niemeyer, Michael, et al.. (2024). DNS-SLAM: Dense Neural Semantic-Informed SLAM. 7839–7846. 5 indexed citations
7.
Rakotosaona, Marie‐Julie, et al.. (2024). NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. 1156–1165. 23 indexed citations
8.
Raj, Amit, Ben Poole, Michael Niemeyer, et al.. (2023). DreamBooth3D: Subject-Driven Text-to-3D Generation. 2349–2359. 87 indexed citations
9.
Niemeyer, Michael, Jonathan T. Barron, Ben Mildenhall, et al.. (2022). RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5470–5480. 284 indexed citations breakdown →
10.
Schwarz, Katja, Yiyi Liao, Michael Niemeyer, & Andreas Geiger. (2020). GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. Neural Information Processing Systems. 33. 20154–20166. 23 indexed citations
11.
Niemeyer, Michael, Lars Mescheder, Michael Oechsle, & Andreas Geiger. (2019). Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. 5378–5388. 133 indexed citations
12.
13.
Fischer, Markus, et al.. (2007). Karosserie Rohbau, Werkstoffe, Fertigung. ATZextra. 12(1). 166–171. 1 indexed citations
14.
Barten, W., Michael Niemeyer, & A. Jakob. (2000). Efficient junction sequence method for transport in a directed network. Water Resources Research. 36(5). 1333–1337. 2 indexed citations

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.

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