Walterio Mayol‐Cuevas
About
In The Last Decade
Walterio Mayol‐Cuevas
108 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.3k
- Aerospace Engineering 770
- Human-Computer Interaction 285
- Electrical and Electronic Engineering 237
- Geology 209
Countries citing papers authored by Walterio Mayol‐Cuevas
This map shows the geographic impact of Walterio Mayol‐Cuevas'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 Walterio Mayol‐Cuevas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walterio Mayol‐Cuevas more than expected).
Fields of papers citing papers by Walterio Mayol‐Cuevas
This network shows the impact of papers produced by Walterio Mayol‐Cuevas. 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 Walterio Mayol‐Cuevas. The network helps show where Walterio Mayol‐Cuevas may publish in the future.
Co-authorship network of co-authors of Walterio Mayol‐Cuevas
This figure shows the co-authorship network connecting the top 25 collaborators of Walterio Mayol‐Cuevas. A scholar is included among the top collaborators of Walterio Mayol‐Cuevas 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 Walterio Mayol‐Cuevas. Walterio Mayol‐Cuevas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 44 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 24 | |
| 7 | 15 | |
| 8 | Who's Better, Who's Best: Skill Determination in Video using Deep Ranking. | 4 |
| 9 | Eyewear Computing for Skill Augmentation and Task Guidance | 2 |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 8 | |
| 13 | You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video | 40 |
| 14 | 9 | |
| 15 | Recognising Egocentric Activities from Gaze Regions with Multiple-Voting Bag of Words | 5 |
| 16 | IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11) | 1 |
| 17 | 7th IEEE and ACM International Symposium on Mixed and Augmented Reality | 41 |
| 18 | International Symposium on Mixed and Augmented Reality | 37 |
| 19 | Real-time model-based slam using line segments | 5 |
| 20 | Wearable Hand Activity Recognition for Event Summarization | 5 |
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.