Viorela Ila
- Aerospace Engineering top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Ocean Engineering top 2%
- Geology top 2%
- Co-authors
- Frank DellaertRichard RobertsMichael KaessJohn J. LeonardHordur JohannssonJuan Andrade‐CettoJosep M. PortaRobert Mahony
- Topics
- Robotics and Sensor-Based Localization (28 papers)Advanced Vision and Imaging (15 papers)Advanced Image and Video Retrieval Techniques (11 papers)
In The Last Decade
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
- Electrical and Electronic Engineering 444
- Ocean Engineering 274
- Geology 256
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 of co-authors of Viorela Ila
This figure shows the co-authorship network connecting the top 25 collaborators of Viorela Ila. A scholar is included among the top collaborators of Viorela Ila 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 Viorela Ila. Viorela Ila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 31 | |
| 14 | 166 | |
| 15 | iSAM2: Incremental smoothing and mapping using the Bayes treebreakdown → | 894 |
| 16 | 34 | |
| 17 | 79 | |
| 18 | Amortized Constant Time State Estimation in SLAM using a Mixed Kalman-Information Filter | 1 |
| 19 | 16 | |
| 20 | 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) and Advanced Image and Video Retrieval Techniques (11 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.