Gustavo Caiza

853 citations
32 papers · 233 indexed · h-index 9
Topics
Digital Transformation in Industry (13 papers)Flexible and Reconfigurable Manufacturing Systems (5 papers)IoT and Edge/Fog Computing (5 papers)
Journals
SHILAP Revista de lepidopterologíaSustainabilityApplied Sciences
Partner nations
EcuadorSpainCuba

In The Last Decade

Gustavo Caiza

28 papers receiving 224 citations

Peers

Gustavo Caiza
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 73
  • Computer Networks and Communications 61
  • Computer Vision and Pattern Recognition 58
  • Information Systems 39
  • Control and Systems Engineering 35
Replace Oto Haffner with:
Oto Haffner Slovakia
Carlos A. García Spain
Luis Piardi Portugal
Štefan Kozák Slovakia
Luís Romero Portugal
Huagang Liang China
Gorka Vélez Spain
Made Adi Paramartha Putra South Korea
Elmahdi Bentafat Qatar
Wolfgang Narzt Austria
Gustavo Caiza relative to Oto Haffner Slovakia Oto Haffner's profile →
Citations per field
00.5×1.7×
Oto Haffner · 1×
Citations per year

Countries citing papers authored by Gustavo Caiza

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo Caiza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo Caiza

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Caiza. A scholar is included among the top collaborators of Gustavo Caiza 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 Gustavo Caiza. Gustavo Caiza 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 2
2 10
3 5
4 0
5 7
6 19
7 1
8 1
9 3
10 6
11 17
12 8
13 2
14 55
15 25
16 0
17 12
18 7
19 3
20 1

About Gustavo Caiza

Gustavo Caiza is a scholar working on Industrial and Manufacturing Engineering, Human-Computer Interaction and Computer Science Applications, having authored 32 papers that have together received 233 indexed citations. Recurring topics across this work include Digital Transformation in Industry (13 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (73 citations), Human-Computer Interaction (24 citations) and Computer Vision and Pattern Recognition (58 citations). Gustavo Caiza has collaborated with scholars based in Ecuador, Spain and Cuba. Frequent co-authors include Marcelo V. García, Carlos A. García, Ricardo Sanz, José E. Naranjo and Paul Arauz. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

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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