Dante I. Tapia

1.4k citations
31 papers · 515 indexed · h-index 10
Topics
Context-Aware Activity Recognition Systems (18 papers)Multi-Agent Systems and Negotiation (11 papers)Energy Efficient Wireless Sensor Networks (8 papers)

In The Last Decade

Dante I. Tapia

29 papers receiving 474 citations

Peers

Dante I. Tapia
Comparison fields: 5 of 80
  • Computer Networks and Communications 259
  • Computer Vision and Pattern Recognition 183
  • Artificial Intelligence 124
  • Electrical and Electronic Engineering 109
  • Information Systems 76
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Luca Roffia Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dante I. Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Dante I. Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dante I. Tapia. 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 Dante I. Tapia. The network helps show where Dante I. Tapia may publish in the future.

Co-authorship network of co-authors of Dante I. Tapia

This figure shows the co-authorship network connecting the top 25 collaborators of Dante I. Tapia. A scholar is included among the top collaborators of Dante I. Tapia 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 Dante I. Tapia. Dante I. Tapia 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 7
2
Virtual Organizations of agents for monitoring elderly and disabled people in geriatric residences
6
3 2
4
CAFCLA, a framework to ease design, development and deployment AmI-based collaborative learning applications
1
5
SELF-ORGANIZING MULTI-AGENT SYSTEM FOR MANAGEMENT AND PLANNING SURVEILLANCE ROUTES
1
6 6
7 1
8 27
9
Implementing a real-time locating system based on wireless sensor networks and artificial neural networks to mitigate the multipath effect
6
10 1
11 5
12 3
13 2
14 7
15 3
16 7
17 147
18 21
19
A multi-agent architecture for distributed services and applications
12
20 1

About Dante I. Tapia

Dante I. Tapia is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 31 papers that have together received 515 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (18 papers), Multi-Agent Systems and Negotiation (11 papers) and Energy Efficient Wireless Sensor Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (259 citations), Computer Vision and Pattern Recognition (183 citations) and Artificial Intelligence (124 citations). Dante I. Tapia has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Juan M. Corchado, Javier Bajo, Ajith Abraham, Ricardo S. Alonso, Yanira De Paz, Sara Rodrı́guez, Óscar García, Juan F. De Paz, Fernando De la Prieta and Carolina Zato. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

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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