Anna Rohrbach

6.1k total citations · 2 hit papers
33 papers, 1.2k citations indexed

About

Anna Rohrbach is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Anna Rohrbach has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 3 papers in Language and Linguistics. Recurrent topics in Anna Rohrbach's work include Multimodal Machine Learning Applications (18 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Anna Rohrbach is often cited by papers focused on Multimodal Machine Learning Applications (18 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Anna Rohrbach collaborates with scholars based in United States, Germany and Hong Kong. Anna Rohrbach's co-authors include Trevor Darrell, Marcus Rohrbach, Bernt Schiele, Niket Tandon, Ronghang Hu, Kate Saenko, Aaron Courville, Christopher Pal, Atousa Torabi and Hugo Larochelle and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Anna Rohrbach

32 papers receiving 1.2k citations

Hit Papers

A dataset for Movie Description 2015 2026 2018 2022 2015 2023 50 100 150 200
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. A dataset for Movie Description
    2015 245 citations Anna Rohrbach, Marcus Rohrbach et al. profile →
  2. More Control for Free! Image Synthesis with Semantic Diffusion Guidance
    2023 106 citations Xihui Liu, Dong Huk Park et al. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Rohrbach United States 16 1.0k 616 67 32 32 33 1.2k
Linjie Li United States 19 1.6k 1.6× 1.0k 1.7× 50 0.7× 19 0.6× 24 0.8× 35 1.9k
Mike Zheng Shou Singapore 18 1.1k 1.1× 451 0.7× 119 1.8× 30 0.9× 12 0.4× 74 1.4k
Stanislaw Antol United States 4 2.3k 2.3× 1.9k 3.1× 62 0.9× 25 0.8× 10 0.3× 5 2.7k
Yidong Chen China 16 274 0.3× 501 0.8× 28 0.4× 25 0.8× 10 0.3× 99 899
Margaret M. Fleck United States 17 566 0.6× 197 0.3× 53 0.8× 73 2.3× 42 1.3× 29 895
Benjamin Elizalde United States 10 839 0.8× 480 0.8× 367 5.5× 61 1.9× 10 0.3× 29 1.3k
Nan Ding China 10 938 0.9× 830 1.3× 39 0.6× 5 0.2× 15 0.5× 29 1.3k
Yulei Niu China 13 1.1k 1.1× 935 1.5× 18 0.3× 50 1.6× 5 0.2× 27 1.4k
Elena Voita Netherlands 6 352 0.4× 727 1.2× 47 0.7× 16 0.5× 8 0.3× 13 913
Bryan A. Plummer United States 11 1.2k 1.2× 738 1.2× 65 1.0× 9 0.3× 9 0.3× 35 1.4k

Countries citing papers authored by Anna Rohrbach

Since Specialization
Citations

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

Fields of papers citing papers by Anna Rohrbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Rohrbach

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Rohrbach. A scholar is included among the top collaborators of Anna Rohrbach 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 Anna Rohrbach. Anna Rohrbach 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.
Braun, Tali, et al.. (2024). InFact: A Strong Baseline for Automated Fact-Checking. 108–112. 1 indexed citations
2.
Park, Dong Huk, et al.. (2024). Shape-Guided Diffusion with Inside-Outside Attention. 4186–4195. 8 indexed citations
3.
Agarwal, Shruti, Liwen Hu, Evonne Ng, et al.. (2023). Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 15 indexed citations
4.
Darrell, Trevor, et al.. (2022). G3: Geolocation via Guidebook Grounding. 5841–5853. 2 indexed citations
5.
Zhou, Mingyang, et al.. (2022). Focus! Relevant and Sufficient Context Selection for News Image Captioning. 6078–6088. 6 indexed citations
6.
Rohrbach, Anna, et al.. (2022). K-LITE: Learning Transferable Visual Models with External Knowledge. 15558–15573.
7.
Gonzalez, Joseph E., et al.. (2022). On Guiding Visual Attention with Language Specification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18071–18081. 8 indexed citations
8.
Darrell, Trevor, et al.. (2021). NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6801–6817. 31 indexed citations
9.
Park, Dong Huk, Samaneh Azadi, Xihui Liu, Trevor Darrell, & Anna Rohrbach. (2021). Benchmark for Compositional Text-to-Image Synthesis. Neural Information Processing Systems. 25 indexed citations
10.
Hendricks, Lisa Anne, Anna Rohrbach, Bernt Schiele, Trevor Darrell, & Zeynep Akata. (2021). Generating visual explanations with natural language. SHILAP Revista de lepidopterología. 2(4). 10 indexed citations
11.
12.
Park, Dong Huk, Trevor Darrell, & Anna Rohrbach. (2019). Viewpoint Invariant Change Captioning.. 2 indexed citations
13.
Hu, Ronghang, Anna Rohrbach, Trevor Darrell, & Kate Saenko. (2019). Language-Conditioned Graph Networks for Relational Reasoning. 10293–10302. 102 indexed citations
14.
Fried, Daniel, Ronghang Hu, Volkan Cirik, et al.. (2018). Speaker-Follower Models for Vision-and-Language Navigation. Neural Information Processing Systems. 31. 3314–3325. 61 indexed citations
15.
Rohrbach, Anna, et al.. (2018). A vision-grounded dataset for predicting typical locations for verbs.. Max Planck Digital Library. 3606–3611. 1 indexed citations
16.
Xu, Xiaojun, Xinyun Chen, Chang Liu, et al.. (2018). Fooling Vision and Language Models Despite Localization and Attention Mechanism. 4951–4961. 36 indexed citations
17.
Xu, Xiaojun, Xinyun Chen, Chang Liu, et al.. (2017). Can you fool AI with adversarial examples on a visual Turing test. arXiv (Cornell University). 13 indexed citations
18.
Maharaj, Tegan, Nicolas Ballas, Anna Rohrbach, Aaron Courville, & Christopher Pal. (2017). A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. PolyPublie (École Polytechnique de Montréal). 7359–7368. 48 indexed citations
19.
Ebrahimi, Sayna, Anna Rohrbach, & Trevor Darrell. (2017). Gradient-free Policy Architecture Search and Adaptation. MPG.PuRe (Max Planck Society). 505–514. 7 indexed citations
20.
Rohrbach, Anna, Marcus Rohrbach, Niket Tandon, & Bernt Schiele. (2015). A dataset for Movie Description. 3202–3212. 245 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Linjie Li Breakdown of academic impact, for papers by Mike Zheng Shou Breakdown of academic impact, for papers by Stanislaw Antol Breakdown of academic impact, for papers by Yidong Chen Breakdown of academic impact, for papers by Margaret M. Fleck Breakdown of academic impact, for papers by Benjamin Elizalde Breakdown of academic impact, for papers by Nan Ding Breakdown of academic impact, for papers by Yulei Niu Breakdown of academic impact, for papers by Elena Voita Breakdown of academic impact, for papers by Bryan A. Plummer
Rankless by CCL
2026