Georgia Gkioxari

39.1k total citations · 4 hit papers
28 papers, 4.9k citations indexed

About

Georgia Gkioxari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Georgia Gkioxari has authored 28 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Georgia Gkioxari's work include Human Pose and Action Recognition (14 papers), Advanced Vision and Imaging (8 papers) and Multimodal Machine Learning Applications (7 papers). Georgia Gkioxari is often cited by papers focused on Human Pose and Action Recognition (14 papers), Advanced Vision and Imaging (8 papers) and Multimodal Machine Learning Applications (7 papers). Georgia Gkioxari collaborates with scholars based in United States, Israel and United Kingdom. Georgia Gkioxari's co-authors include Ross Girshick, Kaiming He, Piotr Dollár, Jitendra Malik, Justin Johnson, Dhruv Batra, Rohit Girdhar, Lorenzo Torresani, Du Tran and Manohar Paluri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and Pattern Recognition Letters.

In The Last Decade

Georgia Gkioxari

25 papers receiving 4.7k citations

Hit Papers

Mask R-CNN 2015 2026 2018 2022 2018 2017 2015 2019 500 1000 1.5k 2.0k

Peers

Georgia Gkioxari
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 3.2k
  • Artificial Intelligence 1.2k
  • Aerospace Engineering 511
  • Biomedical Engineering 434
  • Radiology, Nuclear Medicine and Imaging 343
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Citations per field, relative to Georgia Gkioxari
Georgia Gkioxari · 1×
Citations per year, relative to Georgia Gkioxari
Georgia Gkioxari · 1×

Countries citing papers authored by Georgia Gkioxari

Since Specialization
Citations

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

Fields of papers citing papers by Georgia Gkioxari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgia Gkioxari

This figure shows the co-authorship network connecting the top 25 collaborators of Georgia Gkioxari. A scholar is included among the top collaborators of Georgia Gkioxari 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 Georgia Gkioxari. Georgia Gkioxari 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
# Work Indexed citations
1 0
2 2
3 0
4 40
5 31
6 5
7 0
8 14
9 10
10
3D Shape Reconstruction from Vision and Touch
1
11
Mesh R-CNN breakdown →
233
12
Building Generalizable Agents with a Realistic and Rich 3D Environment
20
13 159
14
Mask R-CNN breakdown →
2442
15
Mask R-CNN breakdown →
777
16 22
17
Contextual Visual Recognition from Images and Videos
1
18
Finding action tubes breakdown →
316
19 234
20 93

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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