Manolis Savva
Impact in
- Geology top 0.1%
- 3D Surveying and Cultural Heritage
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Advanced Vision and Imaging 15
- Human Pose and Action Recognition 10
- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 8
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- 3D Shape Modeling and Analysis 20
- Co-authors
- Anne Lynn S. Chang (26 shared papers)Thomas Funkhouser (5 shared papers)Angela Dai (3 shared papers)Maciej Halber (2 shared papers)Matthias Nießner (5 shared papers)Pat Hanrahan (10 shared papers)Matthew Fisher (8 shared papers)Shuran Song (3 shared papers)
- Journals
- ACM Transactions on Graphics (7 papers)Computer Graphics Forum (5 papers)Eurographics (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Manolis Savva
48 papers receiving 5.2k citations
Manolis Savva's Hit Papers
Peers
Comparison fields: 5 of 102
- Geology 1.4k
- Computer Graphics and Computer-Aided Design 811
- Computer Vision and Pattern Recognition 3.8k
- Computational Mechanics 1.7k
- Aerospace Engineering 1.3k
Countries citing papers authored by Manolis Savva
This map shows the geographic impact of Manolis Savva'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 Manolis Savva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manolis Savva more than expected).
Fields of papers citing papers by Manolis Savva
This network shows the impact of papers produced by Manolis Savva. 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 Manolis Savva. The network helps show where Manolis Savva may publish in the future.
Co-authors
The 25 scholars most cited alongside Manolis Savva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes Hit paper breakdown → | 2017 | 2371 |
| 2 | Matterport3D: Learning from RGB-D Data in Indoor Environments Hit paper breakdown → | 2017 | 995 |
| 3 | 2012 | 220 | |
| 4 | 2011 | 175 | |
| 5 | 2018 | 140 | |
| 6 | 2019 | 132 | |
| 7 | 2017 | 125 | |
| 8 | 2019 | 116 | |
| 9 | 2011 | 112 | |
| 10 | 2011 | 103 | |
| 11 | 2020 | 99 | |
| 12 | 2014 | 95 | |
| 13 | 2015 | 90 | |
| 14 | 2016 | 82 | |
| 15 | 2014 | 60 | |
| 16 | 2015 | 51 | |
| 17 | 2023 | 49 | |
| 18 | 2018 | 41 | |
| 19 | 2016 | 36 | |
| 20 | 2015 | 33 |
About Manolis Savva
Manolis Savva is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geology, Artificial Intelligence and Aerospace Engineering, having authored 51 papers that have together received 5.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Advanced Vision and Imaging (15 papers), 3D Surveying and Cultural Heritage (12 papers), Human Pose and Action Recognition (10 papers), Robotics and Sensor-Based Localization (9 papers), Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Computer Graphics and Visualization Techniques (6 papers). The work is most often cited by research in Geology (1.4k citations), Computer Graphics and Computer-Aided Design (811 citations), Computer Vision and Pattern Recognition (3.8k citations), Computational Mechanics (1.7k citations) and Aerospace Engineering (1.3k citations). Manolis Savva has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Anne Lynn S. Chang, Thomas Funkhouser, Angela Dai, Maciej Halber, Matthias Nießner, Pat Hanrahan, Matthew Fisher, Shuran Song, Matthias NieBner and Yinda Zhang. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Eurographics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).
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.