Eric Garcia
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Media Technology top 10%
- Control and Systems Engineering
- Co-authors
- Maya R. GuptaAli RahimiLuca CazzantiYihua ChenNathaniel JacobsonSergey FeldmanSantosh Kumar SrivastavaJoshua R. Smith
- Topics
- Color Science and Applications (5 papers)Face and Expression Recognition (3 papers)Image Enhancement Techniques (3 papers)
- Journals
- IEEE Transactions on Image ProcessingPattern RecognitionIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United States
In The Last Decade
Eric Garcia
13 papers receiving 412 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 171
- Signal Processing 52
- Media Technology 50
- Control and Systems Engineering 36
Countries citing papers authored by Eric Garcia
This map shows the geographic impact of Eric Garcia'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 Eric Garcia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Garcia more than expected).
Fields of papers citing papers by Eric Garcia
This network shows the impact of papers produced by Eric Garcia. 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 Eric Garcia. The network helps show where Eric Garcia may publish in the future.
Co-authorship network of co-authors of Eric Garcia
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Garcia. A scholar is included among the top collaborators of Eric Garcia 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 Eric Garcia. Eric Garcia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Simple Model of Cruising for Garage Parking | 2 |
| 2 | 13 | |
| 3 | 3 | |
| 4 | Regression Strategies for Low-Dimensional Problems with Application to Color Management | 1 |
| 5 | 193 | |
| 6 | Lattice Regression | 6 |
| 7 | 7 | |
| 8 | 50 | |
| 9 | 30 | |
| 10 | 38 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 89 |
About Eric Garcia
Eric Garcia is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Color Science and Applications (5 papers), Face and Expression Recognition (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Media Technology (50 citations) and Artificial Intelligence (171 citations). Eric Garcia has collaborated with scholars based in United States. Frequent co-authors include Maya R. Gupta, Ali Rahimi, Luca Cazzanti, Yihua Chen, Nathaniel Jacobson, Sergey Feldman, Santosh Kumar Srivastava, Joshua R. Smith, Ganesh Krishnamoorthy and Raman Arora. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.
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.