Vicente Ordóñez
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- Multimodal Machine Learning Applications 30
- Advanced Image and Video Retrieval Techniques 24
- Image Retrieval and Classification Techniques 13
- Generative Adversarial Networks and Image Synthesis 4
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 11
- Natural Language Processing Techniques 8
- Topic Modeling 6
- Adversarial Robustness in Machine Learning 4
- Health Informatics top 5%
- Safety Research top 5%
- Media Technology top 5%
Vicente Ordóñez
50 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 3.1k
- Artificial Intelligence 2.1k
- Health Informatics 45
- Safety Research 148
- Media Technology 94
Countries citing papers authored by Vicente Ordóñez
This map shows the geographic impact of Vicente Ordóñez'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 Vicente Ordóñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicente Ordóñez more than expected).
Fields of papers citing papers by Vicente Ordóñez
This network shows the impact of papers produced by Vicente Ordóñez. 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 Vicente Ordóñez. The network helps show where Vicente Ordóñez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vicente Ordóñez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2022 | 1 | |
| 6 | 2020 | 0 | |
| 7 | Narratives of Power: Demagogues, Politics and Morality at the Start of the 21st Century | 2019 | 0 |
| 8 | Bias and Fairness in Natural Language Processing | 2019 | 21 |
| 9 | Testing Deep Neural Network based Image Classifiers. | 2019 | 3 |
| 10 | 2018 | 35 | |
| 11 | 2018 | 31 | |
| 12 | Text2Scene: Generating Abstract Scenes from Textual Descriptions. | 2018 | 6 |
| 13 | Image Retrieval using Heat Diffusion for Deep Feature Aggregation | 2018 | 2 |
| 14 | Deep Feature Aggregation with Heat Diffusion for Image Retrieval. | 2018 | 0 |
| 15 | 2017 | 23 | |
| 16 | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraintsbreakdown → | 2017 | 403 |
| 17 | ReferItGame: Referring to Objects in Photographs of Natural Scenesbreakdown → | 2014 | 570 |
| 18 | Generalizing Image Captions for Image-Text Parallel Corpus | 2013 | 49 |
| 19 | Collective Generation of Natural Image Descriptions | 2012 | 208 |
| 20 | Im2Text: Describing Images Using 1 Million Captioned Photographsbreakdown → | 2011 | 592 |
About Vicente Ordóñez
Vicente Ordóñez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Human-Computer Interaction and Neurology, having authored 55 papers that have together received 4.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (30 papers), Advanced Image and Video Retrieval Techniques (24 papers), Image Retrieval and Classification Techniques (13 papers), Domain Adaptation and Few-Shot Learning (11 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Artificial Intelligence (2.1k citations), Health Informatics (45 citations), Safety Research (148 citations) and Media Technology (94 citations). Vicente Ordóñez has collaborated with scholars based in United States, Spain and Peru. Frequent co-authors include Tamara L. Berg, Girish Kulkarni, Yejin Choi, Tianlu Wang, Sahar Kazemzadeh, Mark Yatskar, Kai-Wei Chang, Jieyu Zhao, Полина Кузнецова and Alexander C. Berg. Their work appears in journals such as Araucaria, Communications of the ACM, International Journal of Computer Vision, Transactions of the Association for Computational Linguistics and Recerca Revista de pensament i anàlisi.
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.