Noel Codella

1.8k total citations · 1 hit paper
9 papers, 338 citations indexed

About

Noel Codella is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Noel Codella has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Oncology. Recurrent topics in Noel Codella's work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (4 papers). Noel Codella is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (4 papers). Noel Codella collaborates with scholars based in United States, Germany and Australia. Noel Codella's co-authors include Pengchuan Zhang, Chunyuan Li, Yin Li, Luowei Zhou, Xiyang Dai, Yiwu Zhong, Jianwei Yang, Lu Yuan, Jianfeng Gao and Liangliang Cao and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and PubMed.

In The Last Decade

Noel Codella

8 papers receiving 325 citations

Hit Papers

RegionCLIP: Region-based Language-Image Pretraining 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noel Codella United States 5 260 188 12 9 9 9 338
Yiwu Zhong United States 6 297 1.1× 210 1.1× 7 0.6× 7 0.8× 10 1.1× 8 376
Qiushan Guo China 5 182 0.7× 148 0.8× 13 1.1× 14 1.6× 14 1.6× 9 282
Nicola Messina Italy 9 237 0.9× 125 0.7× 8 0.7× 8 0.9× 6 0.7× 26 304
Kaixiong Gong China 5 157 0.6× 212 1.1× 11 0.9× 12 1.3× 27 3.0× 11 277
Jiayan Qiu Australia 5 147 0.6× 135 0.7× 10 0.8× 11 1.2× 6 0.7× 11 216
Aishwarya Kamath United States 6 364 1.4× 264 1.4× 8 0.7× 8 0.9× 5 0.6× 8 451
Matthias De Lange Belgium 3 118 0.5× 186 1.0× 8 0.7× 6 0.7× 17 1.9× 3 215
Raphael Gontijo Lopes United States 3 179 0.7× 180 1.0× 15 1.3× 10 1.1× 18 2.0× 5 272
Mingkuan Yuan China 6 470 1.8× 145 0.8× 24 2.0× 16 1.8× 4 0.4× 8 513

Countries citing papers authored by Noel Codella

Since Specialization
Citations

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

Fields of papers citing papers by Noel Codella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noel Codella

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

All Works

9 of 9 papers shown
1.
Zhong, Yiwu, Jianwei Yang, Pengchuan Zhang, et al.. (2022). RegionCLIP: Region-based Language-Image Pretraining. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16772–16782. 276 indexed citations breakdown →
2.
Wu, Haiping, Bin Xiao, Noel Codella, et al.. (2021). CvT: Introducing Convolutions to Vision Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 22–31. 2 indexed citations
3.
Abedini, Mani, Noel Codella, Rajib Chakravorty, et al.. (2016). Multi-scale classification based lesion segmentation for dermoscopic images. PubMed. 17. 1361–1364. 2 indexed citations
4.
Yu, Felix X., Liangliang Cao, Michele Merler, et al.. (2014). Modeling Attributes from Category-Attribute Proportions. 977–980. 17 indexed citations
5.
Cao, Liangliang, Leiguang Gong, John R. Kender, Noel Codella, & John R. Smith. (2013). Learning by focusing: A new framework for concept recognition and feature selection. 1–6. 4 indexed citations
6.
Codella, Noel, Gang Hua, Liangliang Cao, et al.. (2013). Large-scale video event classification using dynamic temporal pyramid matching of visual semantics. 2877–2881.
7.
Brown, Lisa M., Liangliang Cao, Yu Cheng, et al.. (2013). IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.. 5 indexed citations
8.
Cao, Liangliang, Shih-Fu Chang, Noel Codella, et al.. (2012). IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems. TRECVID. 11 indexed citations
9.
Cao, Liangliang, Shih‐Fu Chang, Noel Codella, et al.. (2011). IBM Research and Columbia University TRECVID-2011 Multimedia Event Detection (MED) System. TRECVID. 21 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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