Lydia Tapia
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 5%
- Co-authors
- Hao-Tien Lewis ChiangAleksandra FaustRafael FierroPatricio J. CruzIvana PalunkoMeeko OishiKendra LesserNancy M. Amato
- Topics
- Robotic Path Planning Algorithms (22 papers)Reinforcement Learning in Robotics (10 papers)Autonomous Vehicle Technology and Safety (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Partner nations
- United StatesCroatiaMexico
In The Last Decade
Lydia Tapia
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 524
- Control and Systems Engineering 367
- Aerospace Engineering 294
- Artificial Intelligence 164
- Ocean Engineering 147
Countries citing papers authored by Lydia Tapia
This map shows the geographic impact of Lydia Tapia'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 Lydia Tapia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lydia Tapia more than expected).
Fields of papers citing papers by Lydia Tapia
This network shows the impact of papers produced by Lydia Tapia. 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 Lydia Tapia. The network helps show where Lydia Tapia may publish in the future.
Co-authorship network of co-authors of Lydia Tapia
This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Tapia. A scholar is included among the top collaborators of Lydia Tapia 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 Lydia Tapia. Lydia Tapia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 132 | |
| 14 | Rigidity analysis for protein motion and folding core identification | 1 |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 46 | |
| 19 | 17 | |
| 20 | 47 |
About Lydia Tapia
Lydia Tapia is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (22 papers), Reinforcement Learning in Robotics (10 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (524 citations), Control and Systems Engineering (367 citations) and Aerospace Engineering (294 citations). Lydia Tapia has collaborated with scholars based in United States, Croatia and Mexico. Frequent co-authors include Hao-Tien Lewis Chiang, Aleksandra Faust, Rafael Fierro, Patricio J. Cruz, Ivana Palunko, Meeko Oishi, Kendra Lesser, Nancy M. Amato, Shawna Thomas and Xinyu Tang. Their work appears in journals such as Bioinformatics, The Journal of Immunology and Journal of Molecular Biology.
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.