Zeynep Akata

16.2k total citations · 7 hit papers
67 papers, 5.1k citations indexed

About

Zeynep Akata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zeynep Akata has authored 67 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 44 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zeynep Akata's work include Domain Adaptation and Few-Shot Learning (38 papers), Multimodal Machine Learning Applications (32 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zeynep Akata is often cited by papers focused on Domain Adaptation and Few-Shot Learning (38 papers), Multimodal Machine Learning Applications (32 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zeynep Akata collaborates with scholars based in Germany, United States and United Kingdom. Zeynep Akata's co-authors include Bernt Schiele, Yongqin Xian, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid, Christoph H. Lampert, Honglak Lee, Scott Reed, Andreas Geiger and Torsten Sattler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Zeynep Akata

62 papers receiving 4.9k citations

Hit Papers

Zero-Shot Learning—A Comprehensive Evaluation of the ... 2013 2026 2017 2021 2018 2015 2016 2017 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
    2018 946 citations Yongqin Xian, Christoph H. Lampert et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Label-Embedding for Image Classification
    2015 484 citations Zeynep Akata, Florent Perronnin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  3. Learning Deep Representations of Fine-Grained Visual Descriptions
    2016 480 citations Zeynep Akata, Honglak Lee et al. profile →
  4. Zero-Shot Learning — The Good, the Bad and the Ugly
    2017 467 citations Yongqin Xian, Bernt Schiele et al. arXiv (Cornell University) profile →
  5. Latent Embeddings for Zero-Shot Classification
    2016 415 citations Yongqin Xian, Zeynep Akata et al. profile →
  6. Label-Embedding for Attribute-Based Classification
    2013 408 citations Zeynep Akata, Florent Perronnin et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →
  7. Computer Vision and Pattern Recognition 2020
    2021 232 citations Zeynep Akata et al. profile →

Peers

Zeynep Akata
Christoph H. Lampert Austria
Eric Tzeng United States
Jingjing Li China
Judy Hoffman United States
Boqing Gong United States
Yuxin Wu China
Lei Zhu China
Zhengming Ding United States
Timothy M. Hospedales United Kingdom
John Blitzer United States
Christoph H. Lampert Austria
Zeynep Akata
Citations per year, relative to Zeynep Akata Zeynep Akata (= 1×) peers Christoph H. Lampert

Countries citing papers authored by Zeynep Akata

Since Specialization
Citations

This map shows the geographic impact of Zeynep Akata'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 Zeynep Akata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeynep Akata more than expected).

Fields of papers citing papers by Zeynep Akata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zeynep Akata. 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 Zeynep Akata. The network helps show where Zeynep Akata may publish in the future.

Co-authorship network of co-authors of Zeynep Akata

This figure shows the co-authorship network connecting the top 25 collaborators of Zeynep Akata. A scholar is included among the top collaborators of Zeynep Akata 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 Zeynep Akata. Zeynep Akata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xiao, M., et al.. (2025). COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training. 14690–14700. 1 indexed citations
2.
Binz, Marcel, Adina L. Roskies, Balázs Aczél, et al.. (2025). How should the advancement of large language models affect the practice of science?. Proceedings of the National Academy of Sciences. 122(5). e2401227121–e2401227121. 14 indexed citations
3.
4.
Fernández‐Torres, Miguel‐Ángel, et al.. (2024). Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing. IEEE Geoscience and Remote Sensing Magazine. 12(4). 261–304. 16 indexed citations
5.
Mancini, Massimiliano, et al.. (2024). Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8652–8664. 2 indexed citations
6.
Koepke, A. Sophia, et al.. (2024). Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models. 2627–2638. 1 indexed citations
7.
Oliveira, Dário Augusto Borges, et al.. (2024). Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. arXiv (Cornell University). 1 indexed citations
8.
Picard, Christine J., et al.. (2023). Classifying the unknown: Insect identification with deep hierarchical Bayesian learning. Methods in Ecology and Evolution. 14(6). 1515–1530. 19 indexed citations
9.
Mancini, Massimiliano, et al.. (2022). Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4164–4173. 30 indexed citations
10.
Chen, Yanbei, et al.. (2022). Probabilistic Compositional Embeddings for Multimodal Image Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4546–4556. 17 indexed citations
11.
Chaudhuri, Ushasi, et al.. (2022). BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR. Neurocomputing. 514. 245–255. 14 indexed citations
12.
Xian, Yongqin, et al.. (2022). Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3 indexed citations
13.
Xian, Yongqin, et al.. (2021). Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. 7012–7021. 50 indexed citations
14.
Rong, Yao, Wenjia Xu, Zeynep Akata, & Enkelejda Kasneci. (2021). Human Attention in Fine-grained Classification. 4 indexed citations
15.
Akata, Zeynep, et al.. (2019). Modeling Conceptual Understanding in Image Reference Games. neural information processing systems. 32. 13155–13165. 10 indexed citations
16.
Ebrahimi, Sayna, et al.. (2019). Generalized Zero-Shot Learning via Aligned Variational Autoencoders. Computer Vision and Pattern Recognition. 54–57. 4 indexed citations
17.
Satorras, Victor García, Zeynep Akata, & Max Welling. (2019). Combining Generative and Discriminative Models for Hybrid Inference. arXiv (Cornell University). 32. 13802–13812. 17 indexed citations
18.
Xian, Yongqin, Christoph H. Lampert, Bernt Schiele, & Zeynep Akata. (2018). Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2251–2265. 946 indexed citations breakdown →
19.
Akata, Zeynep, Honglak Lee, & Bernt Schiele. (2014). Zero-Shot Learning with Structured Embeddings. Max Planck Digital Library. 6 indexed citations
20.
Perronnin, Florent, Zeynep Akata, Zaïd Harchaoui, & C. Schmid. (2012). Towards good practice in large-scale learning for image classification. HAL (Le Centre pour la Communication Scientifique Directe). 3482–3489. 65 indexed citations

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.

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