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.
Instant neural graphics primitives with a multiresolution hash encoding
20221.9k citationsThomas Müller, Alex Evans et al.ACM Transactions on Graphicsprofile →
Extracting Triangular 3D Models, Materials, and Lighting From Images
2022184 citationsTianchang Shen, Thomas Müller et al.profile →
This map shows the geographic impact of Thomas Müller'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 Thomas Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Müller more than expected).
This network shows the impact of papers produced by Thomas Müller. 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 Thomas Müller. The network helps show where Thomas Müller may publish in the future.
Co-authorship network of co-authors of Thomas Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Müller.
A scholar is included among the top collaborators of Thomas Müller 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 Thomas Müller. Thomas Müller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Müller, Thomas, et al.. (2022). Instant neural graphics primitives with a multiresolution hash encoding. ACM Transactions on Graphics. 41(4). 1–15.1928 indexed citations breakdown →
9.
Müller, Thomas, et al.. (2013). Person detection in LWIR imagery using image retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8744. 87440E–87440E.1 indexed citations
Müller, Thomas, et al.. (2008). Using a Na"ive Bayes Classifier based on K-Nearest Neighbors with Distance Weighting for Static Hand-Gesture Recognition in a Human-Robot Dialog System. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).6 indexed citations
16.
Müller, Thomas & Alois Knoll. (2008). Humanoid Early Visual Processing Using Attention Mechanisms. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
17.
Foster, Mary Ellen, Manuel Giuliani, Thomas Müller, et al.. (2008). Combining goal inference and natural-language dialogue for human-robot joint action. UWE Research Repository (UWE Bristol). 375. 25–30.7 indexed citations
18.
Müller, Thomas, et al.. (2007). Learning to Cope with Critical Situations - A Simulation Model of Cognitive Processes using Multiagent Systems.. LWA. 15(3). 159–164.1 indexed citations
19.
Althoff, Klaus‐Dieter, et al.. (2007). Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems..12 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.