Iván Lillo

723 total citations · 1 hit paper
7 papers, 501 citations indexed

About

Iván Lillo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Iván Lillo has authored 7 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Iván Lillo's work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Medical Imaging Techniques and Applications (2 papers). Iván Lillo is often cited by papers focused on Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Medical Imaging Techniques and Applications (2 papers). Iván Lillo collaborates with scholars based in Chile, Colombia and Germany. Iván Lillo's co-authors include Vladimir Riffo, Domingo Mery, Álvaro Soto, Miguel Carrasco, Uwe Zscherpel, Hans Löbel, Juan Carlos Niebles, José Miguel Aguilera, Aldo Cipriano and Johannes Plett and has published in prestigious journals such as Journal of Food Engineering, Image and Vision Computing and Journal of Nondestructive Evaluation.

In The Last Decade

Iván Lillo

7 papers receiving 482 citations

Hit Papers

GDXray: The Database of X-ray Images for Nondestructive T... 2015 2026 2018 2022 2015 100 200 300

Peers

Iván Lillo
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 237
  • Biomedical Engineering 178
  • Mechanical Engineering 139
  • Industrial and Manufacturing Engineering 127
  • Artificial Intelligence 85
Replace Vladimir Riffo with:
Vladimir Riffo Chile
Zhiang Li China
Muthukumaran Malarvel India
Fan Jia China
Rakesh Ranjan United States
Jinquan Li China
Junmei Guo China
Pakorn Kaewtrakulpong Thailand
Zhonghe Ren China
E. Furtado De Simas Filho Brazil
Vladimir Riffo Chile View profile →
Citations per field, relative to Iván Lillo
Iván Lillo · 1×
Citations per year, relative to Iván Lillo
Iván Lillo · 1×

Countries citing papers authored by Iván Lillo

Since Specialization
Citations

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

Fields of papers citing papers by Iván Lillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Lillo

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 37
2 1
3
GDXray: The Database of X-ray Images for Nondestructive Testing breakdown →
325
4 57
5 75
6 4
7
Comparison of Wavelets and a new DCT Algorithm for Sparsely Sampled Reconstruction
2

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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