Antonio Díaz-Calderón
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Alonzo KellyChristiaan J. J. ParedisP.K. KhoslaRajarishi SinhaDavid M. BradleyRobert MandelbaumScott ThayerOmead Amidi
- Topics
- Robotics and Sensor-Based Localization (6 papers)Modeling and Simulation Systems (5 papers)Real-time simulation and control systems (5 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on CyberneticsComputer-Aided Design
- Partner nations
- United States
In The Last Decade
Antonio Díaz-Calderón
20 papers receiving 401 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 159
- Aerospace Engineering 150
- Control and Systems Engineering 120
- Mechanical Engineering 94
- Artificial Intelligence 68
Countries citing papers authored by Antonio Díaz-Calderón
This map shows the geographic impact of Antonio Díaz-Calderón'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 Antonio Díaz-Calderón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Díaz-Calderón more than expected).
Fields of papers citing papers by Antonio Díaz-Calderón
This network shows the impact of papers produced by Antonio Díaz-Calderón. 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 Antonio Díaz-Calderón. The network helps show where Antonio Díaz-Calderón may publish in the future.
Co-authorship network of co-authors of Antonio Díaz-Calderón
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Díaz-Calderón. A scholar is included among the top collaborators of Antonio Díaz-Calderón 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 Antonio Díaz-Calderón. Antonio Díaz-Calderón 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 173 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 8 | |
| 13 | 13 | |
| 14 | 74 | |
| 15 | 5 | |
| 16 | Reconfigurable Models: A Modeling Paradigm To Support Simulation-Based Design | 6 |
| 17 | 21 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | Computer-Based Advisors for Environmentally Conscious Green Product Design | 5 |
About Antonio Díaz-Calderón
Antonio Díaz-Calderón is a scholar working on Software, Management Science and Operations Research and Control and Systems Engineering, having authored 22 papers that have together received 447 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Modeling and Simulation Systems (5 papers) and Real-time simulation and control systems (5 papers). The work is most often cited by research in Software (41 citations), Computer Vision and Pattern Recognition (159 citations) and Aerospace Engineering (150 citations). Antonio Díaz-Calderón has collaborated with scholars based in United States. Frequent co-authors include Alonzo Kelly, Christiaan J. J. Paredis, P.K. Khosla, Rajarishi Sinha, P.K. Khosla, David M. Bradley, Robert Mandelbaum, Scott Thayer, Omead Amidi and M. F. Bode. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Cybernetics and Computer-Aided Design.
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.