Raphael Gontijo Lopes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases.
According to data from OpenAlex, Raphael Gontijo Lopes has authored 5 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Raphael Gontijo Lopes's work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Raphael Gontijo Lopes is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Raphael Gontijo Lopes collaborates with scholars based in United States, Germany and Japan. Raphael Gontijo Lopes's co-authors include Ali Farhadi, Mitchell Wortsman, Gabriel Ilharco, Hannaneh Hajishirzi, Hongseok Namkoong, Rebecca Roelofs, Simon Kornblith, Ludwig Schmidt, Jong Wook Kim and Chiori Hori and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
In The Last Decade
Raphael Gontijo Lopes
5 papers
receiving
263 citations
Hit Papers
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.
Robust fine-tuning of zero-shot models
2022208 citationsMitchell Wortsman, Gabriel Ilharco et al.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)profile →
Citations per year, relative to Raphael Gontijo Lopes Raphael Gontijo Lopes (= 1×)
peers
Ladislav Lenc
Countries citing papers authored by Raphael Gontijo Lopes
Since
Specialization
Citations
This map shows the geographic impact of Raphael Gontijo Lopes'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 Raphael Gontijo Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Gontijo Lopes more than expected).
Fields of papers citing papers by Raphael Gontijo Lopes
This network shows the impact of papers produced by Raphael Gontijo Lopes. 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 Raphael Gontijo Lopes. The network helps show where Raphael Gontijo Lopes may publish in the future.
Co-authorship network of co-authors of Raphael Gontijo Lopes
This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Gontijo Lopes.
A scholar is included among the top collaborators of Raphael Gontijo Lopes 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 Raphael Gontijo Lopes. Raphael Gontijo Lopes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wortsman, Mitchell, Gabriel Ilharco, Jong Wook Kim, et al.. (2022). Robust fine-tuning of zero-shot models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7949–7961.208 indexed citations breakdown →
3.
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.. arXiv (Cornell University).2 indexed citations
4.
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. arXiv (Cornell University).5 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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