Anthony L. Caterini

435 total citations
3 papers, 80 citations indexed

About

Anthony L. Caterini is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Anthony L. Caterini has authored 3 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Anthony L. Caterini's work include Topological and Geometric Data Analysis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Reinforcement Learning in Robotics (1 paper). Anthony L. Caterini is often cited by papers focused on Topological and Geometric Data Analysis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Reinforcement Learning in Robotics (1 paper). Anthony L. Caterini collaborates with scholars based in United Kingdom, Canada and South Korea. Anthony L. Caterini's co-authors include Dong Eui Chang, George Deligiannidis, Randal Douc, Animesh Garg and Tong Li and has published in prestigious journals such as SpringerBriefs in computer science and International Conference on Learning Representations.

In The Last Decade

Anthony L. Caterini

3 papers receiving 79 citations

Peers

Anthony L. Caterini
Comparison fields: 5 of 58
  • Artificial Intelligence 34
  • Control and Systems Engineering 18
  • Electrical and Electronic Engineering 16
  • Computer Vision and Pattern Recognition 12
  • Biomedical Engineering 11
Replace Anusha Nagabandi with:
Anusha Nagabandi United States
A. Okatan Türkiye
Marcin Michalski Poland
G. F. Cao South Korea
Dat Ngo Vietnam
Konrad Żołna Poland
Sicheng Zhu China
Jiangyi Qin China
Wojciech Rafajłowicz Poland
J. S. Huang China
Anusha Nagabandi United States View profile →
Citations per field, relative to Anthony L. Caterini
Anthony L. Caterini · 1×
Citations per year, relative to Anthony L. Caterini
Anthony L. Caterini · 1×

Countries citing papers authored by Anthony L. Caterini

Since Specialization
Citations

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

Fields of papers citing papers by Anthony L. Caterini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony L. Caterini. 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 Anthony L. Caterini. The network helps show where Anthony L. Caterini may publish in the future.

Co-authorship network of co-authors of Anthony L. Caterini

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

All Works

3 of 3 papers shown
# Work Indexed citations
1
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
1
2
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
4
3 75

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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