Jonathan Brandt

5.4k total citations · 2 hit papers
32 papers, 2.4k citations indexed

About

Jonathan Brandt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jonathan Brandt has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Jonathan Brandt's work include Advanced Image and Video Retrieval Techniques (15 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (8 papers). Jonathan Brandt is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (8 papers). Jonathan Brandt collaborates with scholars based in United States, Singapore and United Kingdom. Jonathan Brandt's co-authors include Zhe Lin, Xiaohui Shen, Gang Hua, Haoxiang Li, Lubomir Bourdev, Shuicheng Yan, Jianming Zhang, Sarah Adel Bargal, Stan Sclaroff and Li Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Energy Conversion.

In The Last Decade

Jonathan Brandt

31 papers receiving 2.3k citations

Hit Papers

A convolutional neural network cascade for face detection 2015 2026 2018 2022 2015 2017 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. A convolutional neural network cascade for face detection
    2015 861 citations Haoxiang Li, Zhe Lin et al. profile →
  2. Top-Down Neural Attention by Excitation Backprop
    2017 372 citations Zhe Lin, Jonathan Brandt et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Brandt United States 17 1.9k 601 342 111 103 32 2.4k
Changxing Ding China 24 2.3k 1.2× 514 0.9× 529 1.5× 123 1.1× 82 0.8× 52 2.6k
Gianfranco Doretto United States 20 1.9k 1.0× 689 1.1× 210 0.6× 85 0.8× 68 0.7× 63 2.5k
Yu Xiang United States 18 1.3k 0.7× 493 0.8× 337 1.0× 78 0.7× 56 0.5× 58 1.7k
Jian Zhao China 28 1.7k 0.9× 567 0.9× 371 1.1× 78 0.7× 86 0.8× 109 2.3k
Rameswar Panda United States 18 1.4k 0.7× 663 1.1× 245 0.7× 216 1.9× 177 1.7× 56 2.1k
Shiming Ge China 25 1.5k 0.8× 483 0.8× 243 0.7× 116 1.0× 94 0.9× 87 1.9k
Tao Mei China 27 2.2k 1.2× 846 1.4× 162 0.5× 108 1.0× 70 0.7× 102 2.9k
Khoa Luu United States 19 1.1k 0.6× 412 0.7× 259 0.8× 64 0.6× 146 1.4× 94 1.7k
Meina Kan China 25 2.6k 1.4× 1.1k 1.8× 544 1.6× 233 2.1× 133 1.3× 52 3.2k
Abdelmalik Taleb‐Ahmed France 18 776 0.4× 360 0.6× 322 0.9× 97 0.9× 87 0.8× 114 1.4k

Countries citing papers authored by Jonathan Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Brandt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Brandt. A scholar is included among the top collaborators of Jonathan Brandt 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 Jonathan Brandt. Jonathan Brandt 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.
Brandt, Jonathan, et al.. (2024). Experimental investigation of process parameter variations on the microstructure and failure behavior of IN718 structures in PBF-LB/M. Journal of Laser Applications. 36(1). 6 indexed citations
2.
Cho, Sangwoo, Franck Dernoncourt, Trung Bui, et al.. (2021). StreamHover: Livestream Transcript Summarization and Annotation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6457–6474. 14 indexed citations
3.
Brandt, Jonathan, et al.. (2019). LPaintB: Learning to Paint from Self-SupervisionLPaintB: Learning to Paint from Self-Supervision.. arXiv (Cornell University). 1 indexed citations
4.
Zhou, Tao, Fang Chen, Zhaowen Wang, et al.. (2018). Learning to Doodle with Stroke Demonstrations and Deep Q-Networks.. British Machine Vision Conference. 13.
5.
Xiang, Yu, Shuicheng Yan, Linjie Luo, et al.. (2016). Customized expression recognition for performance-driven cutout character animation. 6216. 1–9. 5 indexed citations
6.
Yan, Shuicheng, Hailin Jin, Eli Shechtman, et al.. (2015). Real-world font recognition using deep network and domain adaptation. International Conference on Learning Representations. 1 indexed citations
7.
Li, Haoxiang, Zhe Lin, Xiaohui Shen, Jonathan Brandt, & Gang Hua. (2015). A convolutional neural network cascade for face detection. 5325–5334. 861 indexed citations breakdown →
8.
Wang, Zhangyang, Shuicheng Yan, Hailin Jin, et al.. (2015). DeepFont. 813–814. 4 indexed citations
9.
Chen, Guang, et al.. (2015). Selective Pooling Vector for Fine-Grained Recognition. 860–867. 18 indexed citations
10.
Wang, Zhangyang, Shuicheng Yan, Hailin Jin, et al.. (2015). DeepFont. 451–459. 66 indexed citations
11.
Li, Haoxiang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, & Gang Hua. (2014). Efficient Boosted Exemplar-Based Face Detection. 1843–1850. 58 indexed citations
12.
Smith, Brandon M., Jonathan Brandt, Zhe Lin, & Li Zhang. (2014). Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization. 1741–1748. 46 indexed citations
13.
Shen, Xiaohui, Zhe Lin, Jonathan Brandt, & Ying Wu. (2014). Spatially-Constrained Similarity Measurefor Large-Scale Object Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(6). 1229–1241. 33 indexed citations
14.
Chen, Guang, Shuicheng Yan, Hailin Jin, et al.. (2014). Large-Scale Visual Font Recognition. 3598–3605. 25 indexed citations
15.
Smith, Brandon M., Li Zhang, Jonathan Brandt, Zhe Lin, & Shuicheng Yan. (2013). Exemplar-Based Face Parsing. 3484–3491. 98 indexed citations
16.
Li, Haoxiang, Gang Hua, Zhe Lin, Jonathan Brandt, & Shuicheng Yan. (2013). Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation. 793–800. 51 indexed citations
17.
Zhou, Feng, Jonathan Brandt, & Zhe Lin. (2013). Exemplar-Based Graph Matching for Robust Facial Landmark Localization. 1025–1032. 63 indexed citations
18.
Yu, D.C., et al.. (1994). A graphical user interface for design, simulation and analysis of power plant electrical auxiliary systems. IEEE Transactions on Energy Conversion. 9(2). 263–269. 13 indexed citations
19.
Brandt, Jonathan, et al.. (1992). A Prototype Visual and Audio Display. PRESENCE Virtual and Augmented Reality. 1(4). 459–467. 6 indexed citations
20.
Brandt, Jonathan, Carlos Cabrelli, & Ursula Molter. (1991). An algorithm for the computation of the Hutchinson distance. Information Processing Letters. 40(2). 113–117. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Changxing Ding Breakdown of academic impact, for papers by Gianfranco Doretto Breakdown of academic impact, for papers by Yu Xiang Breakdown of academic impact, for papers by Jian Zhao Breakdown of academic impact, for papers by Rameswar Panda Breakdown of academic impact, for papers by Shiming Ge Breakdown of academic impact, for papers by Tao Mei Breakdown of academic impact, for papers by Khoa Luu Breakdown of academic impact, for papers by Meina Kan Breakdown of academic impact, for papers by Abdelmalik Taleb‐Ahmed
Rankless by CCL
2026