Daniel Bolya

910 total citations · 1 hit paper
4 papers, 407 citations indexed

About

Daniel Bolya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Daniel Bolya has authored 4 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Human-Computer Interaction. Recurrent topics in Daniel Bolya's work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Daniel Bolya is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Daniel Bolya collaborates with scholars based in United States and South Korea. Daniel Bolya's co-authors include Yong Jae Lee, Chong Zhou, Fanyi Xiao, Judy Hoffman, James M. Rehg, Sang Min Lee and Fiona Ryan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).

In The Last Decade

Daniel Bolya

3 papers receiving 395 citations

Hit Papers

YOLACT++ Better Real-Time Instance Segmentation 2020 2026 2022 2024 2020 100 200 300
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. YOLACT++ Better Real-Time Instance Segmentation
    2020 369 citations Daniel Bolya, Chong Zhou et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Daniel Bolya
Chong Zhou China
Yong Jae Lee United States
Wesley L. Passos Brazil
Jiachen Yu China
Dahang Wan China
Lingyun Bi China
Haitong Lou China
Junmei Guo China
Xuehu Duan China
Chong Zhou China
Daniel Bolya
Citations per year, relative to Daniel Bolya Daniel Bolya (= 1×) peers Chong Zhou

Countries citing papers authored by Daniel Bolya

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bolya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bolya

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

All Works

4 of 4 papers shown
1.
Ryan, Fiona, et al.. (2025). Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders. 28874–28884.
2.
Bolya, Daniel & Judy Hoffman. (2023). Token Merging for Fast Stable Diffusion. 4599–4603. 34 indexed citations
3.
Bolya, Daniel, et al.. (2021). Scalable Diverse Model Selection for Accessible Transfer Learning. arXiv (Cornell University). 34. 4 indexed citations
4.
Bolya, Daniel, Chong Zhou, Fanyi Xiao, & Yong Jae Lee. (2020). YOLACT++ Better Real-Time Instance Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 1108–1121. 369 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.

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2026