Francis Engelmann

780 total citations · 1 hit paper
17 papers, 205 citations indexed

About

Francis Engelmann is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Francis Engelmann has authored 17 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 6 papers in Geology. Recurrent topics in Francis Engelmann's work include 3D Shape Modeling and Analysis (7 papers), 3D Surveying and Cultural Heritage (6 papers) and Robotics and Sensor-Based Localization (4 papers). Francis Engelmann is often cited by papers focused on 3D Shape Modeling and Analysis (7 papers), 3D Surveying and Cultural Heritage (6 papers) and Robotics and Sensor-Based Localization (4 papers). Francis Engelmann collaborates with scholars based in United States, Switzerland and Germany. Francis Engelmann's co-authors include Bastian Leibe, Alexander Hermans, Siyu Tang, Or Litany, Markus Mathias, Aljoša Ošep, Robert W. Sumner, Konrad Schindler, Federico Tombari and Marc Pollefeys and has published in prestigious journals such as IEEE Robotics and Automation Letters, Advances in Production Engineering & Management and arXiv (Cornell University).

In The Last Decade

Francis Engelmann

14 papers receiving 199 citations

Hit Papers

Mask3D: Mask Transformer for 3D Semantic Instance Segment... 2023 2026 2024 2025 2023 25 50 75
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. Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
    2023 94 citations Francis Engelmann, Alexander Hermans et al. profile →

Peers

Francis Engelmann
Tung M. Luu South Korea
Xuemeng Yang China
Jiantao Gao China
Carlos Vallespi-Gonzalez United States
Qiguang Miao China
Jean Lahoud United Arab Emirates
Shiyi Lan United States
Anna Vorontsova United States
Tung M. Luu South Korea
Francis Engelmann
Citations per year, relative to Francis Engelmann Francis Engelmann (= 1×) peers Tung M. Luu

Countries citing papers authored by Francis Engelmann

Since Specialization
Citations

This map shows the geographic impact of Francis Engelmann'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 Francis Engelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Engelmann more than expected).

Fields of papers citing papers by Francis Engelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis Engelmann. 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 Francis Engelmann. The network helps show where Francis Engelmann may publish in the future.

Co-authorship network of co-authors of Francis Engelmann

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Engelmann. A scholar is included among the top collaborators of Francis Engelmann 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 Francis Engelmann. Francis Engelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sumner, Robert W., et al.. (2025). Search3D: Hierarchical Open-Vocabulary 3D Segmentation. IEEE Robotics and Automation Letters. 10(3). 2558–2565. 5 indexed citations
2.
Engelmann, Francis, et al.. (2025). ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding. 4398–4407. 1 indexed citations
3.
4.
Wang, Fangjinhua, et al.. (2025). Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces. 19401–19413.
5.
Engelmann, Francis, et al.. (2025). ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction. 3519–3528. 2 indexed citations
6.
Engelmann, Francis, et al.. (2025). OpenCity3D: What do Vision-Language Models Know About Urban Environments?. 5147–5155. 3 indexed citations
7.
Engelmann, Francis, et al.. (2025). SLAG: Scalable Language-Augmented Gaussian Splatting. IEEE Robotics and Automation Letters. 10(7). 6991–6998.
8.
Liu, Yifan, et al.. (2024). ICGNet: A Unified Approach for Instance-Centric Grasping. 4140–4146. 4 indexed citations
9.
Tombari, Federico, et al.. (2024). SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes. 14531–14542. 13 indexed citations
10.
Blum, Hermann, et al.. (2024). LABELMAKER: Automatic Semantic Label Generation from RGB-D Trajectories. 334–343. 3 indexed citations
11.
Schindler, Konrad, et al.. (2023). Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries. 845–854. 17 indexed citations
12.
Engelmann, Francis, et al.. (2023). Mask3D: Mask Transformer for 3D Semantic Instance Segmentation. 8216–8223. 94 indexed citations breakdown →
13.
Leibe, Bastian, et al.. (2023). 3D Segmentation of Humans in Point Clouds with Synthetic Data. 1292–1304. 11 indexed citations
14.
Riedel, Alexander, et al.. (2021). A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly. Advances in Production Engineering & Management. 16(4). 393–404. 15 indexed citations
15.
Engelmann, Francis, et al.. (2019). Dilated Point Convolutions: On the Receptive Field of Point Convolutions. arXiv (Cornell University). 9 indexed citations
16.
Ošep, Aljoša, et al.. (2016). Multi-scale object candidates for generic object tracking in street scenes. 27 indexed citations
17.
Engelmann, Francis, Jan Borchers, & Stefan Kowalewski. (2011). FabScan - Affordable 3D Laser Scanning of Physical Objects. RWTH Publications (RWTH Aachen). 1 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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