Victor Fragoso

422 citations
10 papers · 207 indexed · h-index 7
Topics
Advanced Image and Video Retrieval Techniques (8 papers)Robotics and Sensor-Based Localization (5 papers)Advanced Neural Network Applications (4 papers)
Journals
IEEE Robotics and Automation LettersInfoscience (Ecole Polytechnique Fédérale de Lausanne)

In The Last Decade

Victor Fragoso

10 papers receiving 196 citations

Peers

Victor Fragoso
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 165
  • Aerospace Engineering 61
  • Media Technology 35
  • Artificial Intelligence 31
  • Human-Computer Interaction 29
Replace Dae-Hwan Kim with:
Dae-Hwan Kim South Korea
Joerg Liebelt France
Bingbing Zhuang United States
Hengduo Li United States
Dahu Shi China
Jinman Kang United States
Geoffrey Cross United Kingdom
Yu-Chuan Su United States
Bingyi Cao Germany
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Victor Fragoso relative to Dae-Hwan Kim South Korea Dae-Hwan Kim's profile →
Citations per field
00.5×2.9×
Dae-Hwan Kim · 1×
Citations per year

Countries citing papers authored by Victor Fragoso

Since Specialization
Citations

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

Fields of papers citing papers by Victor Fragoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Fragoso

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 6
2 17
3 8
4 6
5 14
6 2
7 58
8 11
9 63
10 22

About Victor Fragoso

Victor Fragoso is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Human-Computer Interaction, having authored 10 papers that have together received 207 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Human-Computer Interaction (29 citations) and Media Technology (35 citations). Victor Fragoso has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Matthew Turk, Pradeep Sen, Steffen Gauglitz, Jim Kleban, Joseph DeGol, Matthew Turk, Charles Baur, Sudipta N. Sinha, Jae Yong Lee and Jeffrey Fried. Their work appears in journals such as IEEE Robotics and Automation Letters and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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