M. Ortega
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 2%
- Information Systems
- Co-authors
- Sharad MehrotraThomas S. HuangYong RuiKriengkrai PorkaewKaushik ChakrabartiSabine CoquillartJeanine Treffers‐DallerDiana Schaack
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Image Retrieval and Classification Techniques (4 papers)Virtual Reality Applications and Impacts (3 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Circuits and Systems for Video TechnologyThe Elementary School Journal
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
M. Ortega
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 253
- Signal Processing 169
- Media Technology 163
- Information Systems 44
Countries citing papers authored by M. Ortega
This map shows the geographic impact of M. Ortega'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 M. Ortega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ortega more than expected).
Fields of papers citing papers by M. Ortega
This network shows the impact of papers produced by M. Ortega. 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 M. Ortega. The network helps show where M. Ortega may publish in the future.
Co-authorship network of co-authors of M. Ortega
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ortega. A scholar is included among the top collaborators of M. Ortega 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 M. Ortega. M. Ortega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 5 | |
| 3 | Virtual Worlds: Concepts, Applications and Future Directions | 6 |
| 4 | 8 | |
| 5 | Learning spaces in virtual worlds: Bringing our distance students home | 1 |
| 6 | 41 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 54 | |
| 10 | 117 | |
| 11 | Relevance feedback: a power tool for interactive content-based image retrievalbreakdown → | 1165 |
| 12 | 81 |
About M. Ortega
M. Ortega is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (163 citations) and Signal Processing (169 citations). M. Ortega has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Sharad Mehrotra, Thomas S. Huang, Yong Rui, Kriengkrai Porkaew, Kaushik Chakrabarti, Sabine Coquillart, Jeanine Treffers‐Daller, Diana Schaack and Liz Falconer. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Circuits and Systems for Video Technology and The Elementary School Journal.
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.