Luca Weihs

1.3k total citations · 1 hit paper
23 papers, 488 citations indexed

About

Luca Weihs is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Luca Weihs has authored 23 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Luca Weihs's work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (8 papers) and Reinforcement Learning in Robotics (7 papers). Luca Weihs is often cited by papers focused on Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (8 papers) and Reinforcement Learning in Robotics (7 papers). Luca Weihs collaborates with scholars based in United States, Switzerland and Canada. Luca Weihs's co-authors include Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matt Deitke, Ludwig Schmidt, Oscar Michel and Mathias Drton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrika and The Annals of Statistics.

In The Last Decade

Luca Weihs

21 papers receiving 475 citations

Hit Papers

Objaverse: A Universe of Annotated 3D Objects 2023 2026 2024 2025 2023 50 100 150 200

Peers

Luca Weihs
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 287
  • Artificial Intelligence 126
  • Computational Mechanics 110
  • Computer Graphics and Computer-Aided Design 99
  • Control and Systems Engineering 73
Thomas M. Strat United States
Matthew D. Mullin United States
Ioannis Ivrissimtzis United Kingdom
Pulak Purkait India
Andrei Zanfir Romania
Omri Avrahami Israel
P. Whaite Canada
Jiazhao Zhang China
Haiyong Jiang China
Thomas M. Strat United States View profile →
Citations per field, relative to Luca Weihs
Luca Weihs · 1×
Citations per year, relative to Luca Weihs
Luca Weihs · 1×

Countries citing papers authored by Luca Weihs

Since Specialization
Citations

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

Fields of papers citing papers by Luca Weihs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Weihs

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 10
4 12
5 2
6 0
7 2
8
Objaverse: A Universe of Annotated 3D Objects breakdown →
236
9 7
10 102
11 2
12 10
13 2
14 21
15
Identifiability of Linear Structural Equation Models [R package SEMID version 0.3.2]
0
16 5
17 31
18 3
19 18
20 7

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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2026