Valts Blukis
Impact in
-
- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Reinforcement Learning in Robotics
Papers in
- Geology 4
- 3D Surveying and Cultural Heritage 4
-
- Multimodal Machine Learning Applications 5
- Robotic Path Planning Algorithms 3
- Co-authors
- Dieter FoxJonathan TremblayAnkit GoyalArsalan MousavianDanfei XuIshika SinghAnimesh GargJesse Thomason
- Journals
- Autonomous Robots (1 paper)arXiv (Cornell University) (1 paper)Bristol Research (University of Bristol) (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Valts Blukis
14 papers receiving 600 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 326
- Artificial Intelligence 290
- Control and Systems Engineering 181
- Health Informatics 6
- Industrial and Manufacturing Engineering 43
Countries citing papers authored by Valts Blukis
This map shows the geographic impact of Valts Blukis'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 Valts Blukis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valts Blukis more than expected).
Fields of papers citing papers by Valts Blukis
This network shows the impact of papers produced by Valts Blukis. 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 Valts Blukis. The network helps show where Valts Blukis may publish in the future.
Co-authors
The 25 scholars most cited alongside Valts Blukis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 36 | |
| 8 | ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Hit paper breakdown → | 2023 | 272 |
| 9 | 2023 | 18 | |
| 10 | 2023 | 32 | |
| 11 | BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects Hit paper breakdown → | 2023 | 88 |
| 12 | 2022 | 40 | |
| 13 | Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight | 2019 | 8 |
| 14 | 2018 | 71 | |
| 15 | 2018 | 16 | |
| 16 | 2017 | 31 |
About Valts Blukis
Valts Blukis is a scholar working on Geology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 633 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), 3D Surveying and Cultural Heritage (4 papers), Robot Manipulation and Learning (4 papers), Natural Language Processing Techniques (4 papers), Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers), Manufacturing Process and Optimization (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Artificial Intelligence (290 citations), Control and Systems Engineering (181 citations), Health Informatics (6 citations) and Industrial and Manufacturing Engineering (43 citations). Valts Blukis has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Dieter Fox, Jonathan Tremblay, Ankit Goyal, Arsalan Mousavian, Danfei Xu, Ishika Singh, Animesh Garg, Jesse Thomason, Yoav Artzi and Ross A. Knepper. Their work appears in journals such as Autonomous Robots, arXiv (Cornell University) and Bristol Research (University of Bristol).
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.