Pablo Zegers
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Biomedical Engineering
- Transportation top 5%
- Co-authors
- Malur K. SundareshanJosé C. Prı́ncipeAlain CrouzilLouahdi KhoudourSergio A. VelastínP. HuijseP. A. EstévezPavlos Protopapas
- Topics
- Neural Networks and Applications (9 papers)Human Pose and Action Recognition (6 papers)Time Series Analysis and Forecasting (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingSensors
- Partner nations
- ChileUnited StatesUnited Kingdom
In The Last Decade
Pablo Zegers
27 papers receiving 428 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 134
- Signal Processing 82
- Biomedical Engineering 74
- Transportation 67
Countries citing papers authored by Pablo Zegers
This map shows the geographic impact of Pablo Zegers'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 Pablo Zegers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Zegers more than expected).
Fields of papers citing papers by Pablo Zegers
This network shows the impact of papers produced by Pablo Zegers. 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 Pablo Zegers. The network helps show where Pablo Zegers may publish in the future.
Co-authorship network of co-authors of Pablo Zegers
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Zegers. A scholar is included among the top collaborators of Pablo Zegers 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 Pablo Zegers. Pablo Zegers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 34 | |
| 7 | 61 | |
| 8 | Passenger Saturation Flows through Public Transport Doors | 4 |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | Effect of door width, platform height and fare collection on bus dwell time. A laboratory study | 1 |
| 13 | 64 | |
| 14 | 0 | |
| 15 | 31 | |
| 16 | 0 | |
| 17 | Attitude Determination of Geological Layers Using HRSC Data and Orion Software | 1 |
| 18 | 26 | |
| 19 | 1 | |
| 20 | 2 |
About Pablo Zegers
Pablo Zegers is a scholar working on Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 30 papers that have together received 450 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Human Pose and Action Recognition (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Transportation (67 citations), Signal Processing (82 citations) and Computer Vision and Pattern Recognition (134 citations). Pablo Zegers has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Malur K. Sundareshan, José C. Prı́ncipe, Alain Crouzil, Louahdi Khoudour, Sergio A. Velastín, P. Huijse, P. A. Estévez, Pavlos Protopapas, Rodrigo Fernández and Nick Tyler. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Sensors.
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.