Antonio Zea

33 papers receiving 298 citations

Peers

Antonio Zea
Comparison fields: 5 of 51
  • Human-Computer Interaction 86
  • Computer Vision and Pattern Recognition 85
  • Aerospace Engineering 88
  • Artificial Intelligence 94
  • Cognitive Neuroscience 50
Replace Tobias Feigl with:
Tobias Feigl Germany
Fei Han United States
Hiroyuki Masuta Japan
Adam Leeper United States
Shervin Javdani United States
Stefano Michieletto Italy
K. Dawson‐Howe Ireland
Michael Görner Germany
Chunguang Bu China
Xianjia Yu Finland
Antonio Zea relative to Tobias Feigl Germany Tobias Feigl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antonio Zea

Since Specialization
Citations

This map shows the geographic impact of Antonio Zea'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 Zea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Zea more than expected).

Fields of papers citing papers by Antonio Zea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Zea. 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 Zea. The network helps show where Antonio Zea may publish in the future.

Co-authors

The 12 scholars most cited alongside Antonio Zea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antonio Zea Line = papers co-authored together Antonio Zea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017104
2 201237
3 202018
4 202116
5 201515
6 201513
7 201411
8 20159
9 20148
10
Recursive Bayesian calibration of depth sensors with non-overlapping views
20127
11 20167
12 20167
13 20146
14 20216
15 20155
16 20235
17 20214
18 20164
19 20214
20 20163

About Antonio Zea

Antonio Zea is a scholar working on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering, having authored 37 papers that have together received 307 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Image and Object Detection Techniques (11 papers), Robot Manipulation and Learning (8 papers), Teleoperation and Haptic Systems (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Optical measurement and interference techniques (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Computer Vision and Pattern Recognition (85 citations), Aerospace Engineering (88 citations), Artificial Intelligence (94 citations) and Cognitive Neuroscience (50 citations). Antonio Zea has collaborated with scholars based in Germany, United States and Ecuador. Frequent co-authors include Uwe D. Hanebeck, Marco E. Benalcázar, Jonathan Jonathan, Víctor H. Andaluz, Marcus Baum, Johannes Reuter, Christoph Pohl, Tamim Asfour, Benjamin Noack and Arne Roennau. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Robotics and Automation Letters, IEEE Transactions on Aerospace and Electronic Systems, IEEE Control Systems Letters and IFAC-PapersOnLine.

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.

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