Jorge Ortiz
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Biomedical Engineering
- Co-authors
- Franck LeDavide AnguitaQuan Z. ShengWei Emma ZhangAlessandro GhioSeyedamin PouriyehAndreu CataláJoan Cabestany
- Topics
- Context-Aware Activity Recognition Systems (12 papers)Time Series Analysis and Forecasting (6 papers)Anomaly Detection Techniques and Applications (4 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Jorge Ortiz
35 papers receiving 315 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 124
- Computer Vision and Pattern Recognition 121
- Computer Networks and Communications 99
- Signal Processing 67
- Biomedical Engineering 46
Countries citing papers authored by Jorge Ortiz
This map shows the geographic impact of Jorge Ortiz'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 Jorge Ortiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Ortiz more than expected).
Fields of papers citing papers by Jorge Ortiz
This network shows the impact of papers produced by Jorge Ortiz. 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 Jorge Ortiz. The network helps show where Jorge Ortiz may publish in the future.
Co-authorship network of co-authors of Jorge Ortiz
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ortiz. A scholar is included among the top collaborators of Jorge Ortiz 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 Jorge Ortiz. Jorge Ortiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 23 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 81 | |
| 15 | 16 | |
| 16 | 5 | |
| 17 | Teen Leadership Development through a Teen Gaming Program: Learn How to Create Impactful Leadership Opportunities for Your Teens | 2 |
| 18 | 3 | |
| 19 | Human activity and motion disorder recognition: towards smarter interactive cognitive environments | 33 |
| 20 | Human activity recognition on smartphones for mobile context awareness | 6 |
About Jorge Ortiz
Jorge Ortiz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Transportation, having authored 39 papers that have together received 331 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Time Series Analysis and Forecasting (6 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (67 citations), Computer Vision and Pattern Recognition (121 citations) and Computer Networks and Communications (99 citations). Jorge Ortiz has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Franck Le, Davide Anguita, Quan Z. Sheng, Wei Emma Zhang, Alessandro Ghio, Seyedamin Pouriyeh, Andreu Catalá, Joan Cabestany, Xavier Parra and Richard P. Martin. Their work appears in journals such as Gastroenterology, Journal of the American College of Surgeons and Internet of Things.
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.