Danilo Cáceres Hernández

38 papers receiving 372 citations

Peers

Danilo Cáceres Hernández
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 271
  • Safety, Risk, Reliability and Quality 101
  • Automotive Engineering 78
  • Aerospace Engineering 76
  • Environmental Engineering 54
Replace Ahmed Gomaa with:
Ahmed Gomaa Egypt
Amir Sadeghian United States
Yalong Ma China
Yukimasa Tamatsu Japan
Kiyosumi Kidono Japan
Miguel Ángel García-Garrido Spain
Nico Cornelis Belgium
Roman Pflugfelder Austria
Yongzheng Xu China
Takashi Naito Japan
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Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Danilo Cáceres Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Cáceres Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Cáceres Hernández. 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 Danilo Cáceres Hernández. The network helps show where Danilo Cáceres Hernández may publish in the future.

Co-authorship network of co-authors of Danilo Cáceres Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Cáceres Hernández. A scholar is included among the top collaborators of Danilo Cáceres Hernández 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 Danilo Cáceres Hernández. Danilo Cáceres Hernández 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
#WorkIndexed citations
1 0
2 4
3 17
4 1
5 2
6 8
7 11
8 7
9 6
10 1
11 2
12 13
13 4
14 21
15 10
16 16
17 1
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19 9
20 13

About Danilo Cáceres Hernández

Danilo Cáceres Hernández is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 39 papers that have together received 388 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Autonomous Vehicle Technology and Safety (11 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Safety, Risk, Reliability and Quality (101 citations) and Automotive Engineering (78 citations). Danilo Cáceres Hernández has collaborated with scholars based in South Korea, Panama and United States. Frequent co-authors include Kang-Hyun Jo, Alexander Filonenko, Van-Dung Hoang, Dong-Wook Seo, Laksono Kurnianggoro, Wahyono Wahyono, Miriam Cabrelles, S. Navarro, José Luis Lerma and My-Ha Le. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Informatics and ISPRS Journal of Photogrammetry and Remote Sensing.

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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