José M. Chaquet

556 citations
11 papers · 392 indexed · 1 hit paper · h-index 6
Topics
Turbomachinery Performance and Optimization (7 papers)Combustion and flame dynamics (3 papers)Computational Fluid Dynamics and Aerodynamics (3 papers)
Partner nations
SpainUnited Kingdom

In The Last Decade

José M. Chaquet

10 papers receiving 368 citations

Hit Papers

A survey of video datasets for human action and activity ...20132026201720212013100200300

Peers

José M. Chaquet
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 274
  • Artificial Intelligence 163
  • Biomedical Engineering 89
  • Human-Computer Interaction 49
  • Aerospace Engineering 38
Replace Chun-Hsu Ko with:
Chun-Hsu Ko Taiwan
Ziyi Yan China
J. Bao China
Jungdam Won South Korea
Zhiguo Li China
Junghsi Lee Taiwan
Hongji Xu China
Varun Ganapathi United States
Yanan Guo China
Ignacy Dulȩba Poland
José M. Chaquet relative to Chun-Hsu Ko Taiwan Chun-Hsu Ko's profile →
Citations per field
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Citations per year

Countries citing papers authored by José M. Chaquet

Since Specialization
Citations

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

Fields of papers citing papers by José M. Chaquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Chaquet. 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 José M. Chaquet. The network helps show where José M. Chaquet may publish in the future.

Co-authorship network of co-authors of José M. Chaquet

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 5
3 1
4 5
5 4
6 8
7
A survey of video datasets for human action and activity recognitionbreakdown →
311
8 17
9 12
10 25
11 4

About José M. Chaquet

José M. Chaquet is a scholar working on Numerical Analysis, Aerospace Engineering and Computational Mechanics, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (7 papers), Combustion and flame dynamics (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (274 citations), Human-Computer Interaction (49 citations) and Artificial Intelligence (163 citations). José M. Chaquet has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Enrique J. Carmona, Antonio Fernández‐Caballero, Roque Corral and Zhi Wang. Their work appears in journals such as Applied Soft Computing, Computer Vision and Image Understanding and Soft Computing.

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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