Michael Villamizar

575 citations
26 papers · 326 indexed · h-index 12

Michael Villamizar

25 papers receiving 314 citations

Peers

Michael Villamizar
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 217
  • Aerospace Engineering 80
  • Human-Computer Interaction 16
  • Media Technology 24
  • Artificial Intelligence 80
Replace Rachid Belaroussi with:
Rachid Belaroussi France
Hasan J. Alyamani Saudi Arabia
Yukimasa Tamatsu Japan
Lei Ye China
Nam Vo United States
Frank Lindner Germany
Wang Feng China
Emre Başeski Denmark
Steffen Görzig Germany
Tahir Nawaz United Kingdom
Michael Villamizar relative to Rachid Belaroussi France Rachid Belaroussi's profile →
Citations per field
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Rachid Belaroussi · 1×
Citations per year

Countries citing papers authored by Michael Villamizar

Since Specialization
Citations

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

Fields of papers citing papers by Michael Villamizar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Michael Villamizar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Villamizar Line = papers co-authored together Michael Villamizar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 202319
3 20231
4 20206
5 201932
6 201911
7 20185
8 201811
9 20187
10 20167
11 20162
12 201516
13 20153
14 20146
15
Online Human-AssistedLearning using Random Ferns
201310
16 201228
17 201118
18 201010
19
Cómputo de características invariantes a la rotación para el reconocimiento de distintas clases de objetos
20061
20 200612

About Michael Villamizar

Michael Villamizar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 26 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Video Surveillance and Tracking Methods (10 papers), Robotics and Sensor-Based Localization (9 papers), Human Pose and Action Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers), Social Robot Interaction and HRI (3 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Aerospace Engineering (80 citations) and Human-Computer Interaction (16 citations). Michael Villamizar has collaborated with scholars based in Spain and Switzerland. Frequent co-authors include Alberto Sanfeliu, Francesc Moreno-Noguer, Juan Andrade‐Cetto, Jean‐Marc Odobez, Anaís Garrell, Luc Van Gool, Helmut Gräbner, Alicia Martínez‐González, Luis Ferraz and Edgar Simo‐Serra. Their work appears in journals such as The Visual Computer, Computers and Electronics in Agriculture, Machine Vision and Applications, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition.

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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