Tiago Vaquero

756 citations
38 papers · 316 indexed · h-index 10

Tiago Vaquero

37 papers receiving 297 citations

Peers

Tiago Vaquero
Comparison fields: 5 of 57
  • Software 31
  • Computer Networks and Communications 109
  • Artificial Intelligence 146
  • Computer Vision and Pattern Recognition 61
  • Industrial and Manufacturing Engineering 27
Replace Gregory A. Dorais with:
Gregory A. Dorais United States
V. A. Ziparo Italy
Philipp Schillinger Germany
Moritz Göbelbecker Germany
Erez Karpas Israel
F. Kabanza Canada
Shunzhi Zhu China
Afsoon Afzal United States
Rui Dai United States
Robert Zimmer United Kingdom
Tiago Vaquero relative to Gregory A. Dorais United States Gregory A. Dorais's profile →
Citations per field
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Gregory A. Dorais · 1×
Citations per year

Countries citing papers authored by Tiago Vaquero

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Vaquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20226
3 20218
4 20204
5 202034
6 20197
7 20182
8
Delay Controllability: Multi-Agent Coordination under Communication Delay
20186
9 20177
10 20175
11 20175
12 20171
13 201715
14 20165
15 20163
16
The Implementation of a Planning and Scheduling Architecture for Multiple Robots Assisting Multiple Users in a Retirement Home Setting
20155
17 201430
18 201321
19 20069
20
SPECIFICATION AND ANALYSIS FOR AUTOMATED FLEXIBLE MANUFACTURING
20051

About Tiago Vaquero

Tiago Vaquero is a scholar working on Software, Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 316 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (18 papers), Constraint Satisfaction and Optimization (9 papers), Model-Driven Software Engineering Techniques (7 papers), Logic, Reasoning, and Knowledge (6 papers), Distributed systems and fault tolerance (5 papers), Semantic Web and Ontologies (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Software (31 citations), Computer Networks and Communications (109 citations), Artificial Intelligence (146 citations), Computer Vision and Pattern Recognition (61 citations) and Industrial and Manufacturing Engineering (27 citations). Tiago Vaquero has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include José Reinaldo Silva, J. Christopher Beck, Goldie Nejat, Wing-Yue Geoffrey Louie, Steve Chien, Ali‐akbar Agha‐mohammadi, Jeffrey A. Edlund, Kyohei Otsu, Mauro Vallati and Brian Williams. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Artificial Intelligence Research, The Knowledge Engineering Review, The Journal of the Astronautical Sciences and IEEE Robotics and Automation Letters.

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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