Manuel Vargas

1.7k citations
62 papers · 1.1k · h-index 16

Impact in

Papers in

Manuel Vargas

57 papers receiving 1.0k citations

Peers

Manuel Vargas
Comparison fields: 5 of 144
  • Industrial and Manufacturing Engineering 128
  • Strategy and Management 170
  • Industrial and Manufacturing Engineering 76
  • Management Information Systems 73
  • Computer Vision and Pattern Recognition 163
Replace Sai Hong Tang with:
Sai Hong Tang Malaysia
Guillermo Fuertes Chile
Tang Sai Hong Malaysia
Steve Simske United States
Ye Liu China
Bashir Salah Saudi Arabia
Geng Zhang China
Shaik Vaseem Akram India
Joseph Chan Hong Kong
Manuel Vargas relative to Sai Hong Tang Malaysia Sai Hong Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manuel Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manuel Vargas, 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 Manuel Vargas Line = papers co-authored together Manuel Vargas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020158
2 2016156
3
Deeper understanding of the homography decomposition for vision-based control
2007140
4 200784
5 201854
6 202333
7 201527
8 201926
9 202125
10 200624
11 202024
12 202123
13 201523
14 202222
15 202120
16 201719
17 202115
18 201515
19 202013
20 202113

About Manuel Vargas

Manuel Vargas is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Strategy and Management, Management Information Systems and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (6 papers), Digital Transformation in Industry (5 papers), Recycling and Waste Management Techniques (4 papers), Optical measurement and interference techniques (4 papers), Quality and Supply Management (4 papers), Advanced Vision and Imaging (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (128 citations), Strategy and Management (170 citations), Industrial and Manufacturing Engineering (76 citations), Management Information Systems (73 citations) and Computer Vision and Pattern Recognition (163 citations). Manuel Vargas has collaborated with scholars based in Chile, Colombia and United States. Frequent co-authors include Guillermo Fuertes, Jorge Sabattin, Miguel Alfaro, Ezio Malis, Rodrigo Ternero, Raúl Carrasco, Ismael Soto, Sebastián Gutiérrez, Claudia Durán and Óscar C. Vásquez. Their work appears in journals such as Complexity, Sustainability, IEEE Access, Symmetry and Journal of Building Engineering.

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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