Viorela Ila
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 28
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- Advanced Vision and Imaging 15
- Advanced Image and Video Retrieval Techniques 11
- Geology top 2%
- 3D Surveying and Cultural Heritage 6
- Ocean Engineering top 2%
- Underwater Vehicles and Communication Systems 5
- Environmental Engineering top 10%
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- Indoor and Outdoor Localization Technologies 9
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- Modular Robots and Swarm Intelligence 4
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- Parallel Computing and Optimization Techniques 3
Viorela Ila
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Aerospace Engineering 1.4k
- Computer Vision and Pattern Recognition 977
- Geology 256
- Ocean Engineering 274
- Environmental Engineering 136
Countries citing papers authored by Viorela Ila
This map shows the geographic impact of Viorela Ila'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 Viorela Ila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viorela Ila more than expected).
Fields of papers citing papers by Viorela Ila
This network shows the impact of papers produced by Viorela Ila. 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 Viorela Ila. The network helps show where Viorela Ila may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Viorela Ila, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 18 | |
| 5 | 2019 | 13 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 6 | |
| 8 | 2015 | 6 | |
| 9 | 2015 | 6 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 31 | |
| 14 | 2011 | 166 | |
| 15 | iSAM2: Incremental smoothing and mapping using the Bayes treebreakdown → | 2011 | 894 |
| 16 | 2010 | 34 | |
| 17 | 2010 | 79 | |
| 18 | Amortized Constant Time State Estimation in SLAM using a Mixed Kalman-Information Filter | 2009 | 1 |
| 19 | 2007 | 16 | |
| 20 | 2007 | 3 |
About Viorela Ila
Viorela Ila is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (28 papers), Advanced Vision and Imaging (15 papers), Advanced Image and Video Retrieval Techniques (11 papers), Indoor and Outdoor Localization Technologies (9 papers), 3D Surveying and Cultural Heritage (6 papers), Underwater Vehicles and Communication Systems (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Aerospace Engineering (1.4k citations), Computer Vision and Pattern Recognition (977 citations) and Geology (256 citations). Viorela Ila has collaborated with scholars based in Australia, Czechia and Spain. Frequent co-authors include Frank Dellaert, Richard Roberts, Michael Kaess, John J. Leonard, Hordur Johannsson, Juan Andrade‐Cetto, Josep M. Porta, Robert Mahony, Pavel Smrž and Jun Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and The International Journal of Robotics Research.
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.