Luci Pìrmez

66 papers receiving 899 citations

Peers

Luci Pìrmez
Comparison fields: 5 of 77
  • Computer Networks and Communications 752
  • Electrical and Electronic Engineering 272
  • Information Systems 184
  • Computer Vision and Pattern Recognition 154
  • Artificial Intelligence 135
Replace José Marcos S. Nogueira with:
José Marcos S. Nogueira Brazil
Bartolomé Rubio Spain
Gilman Tolle United States
Nadjib Badache Algeria
Andy Stanford-Clark United States
Urs Hunkeler Switzerland
Giuseppe Anastasi Italy
Enver Ever Türkiye
Nicolas Tsiftes Sweden
Murad Khan South Korea
Luci Pìrmez relative to José Marcos S. Nogueira Brazil José Marcos S. Nogueira's profile →
Citations per field
00.5×1.5×
José Marcos S. Nogueira · 1×
Citations per year

Countries citing papers authored by Luci Pìrmez

Since Specialization
Citations

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

Fields of papers citing papers by Luci Pìrmez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luci Pìrmez

This figure shows the co-authorship network connecting the top 25 collaborators of Luci Pìrmez. A scholar is included among the top collaborators of Luci Pìrmez 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 Luci Pìrmez. Luci Pìrmez 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 29
2
Data Quality Assessment and Enhancement on Social and Sensor Data.
3
3 0
4 21
5 2
6
Hephaestus: A multisensor data fusion algorithm for multiple applications on wireless sensor networks
11
7 32
8 2
9
Multisensor data fusion in Shared Sensor and Actuator Networks
16
10
PRISMA: A Publish-Subscribe and Resource-Oriented Middleware for Wireless Sensor Networks
18
11 4
12 16
13 2
14
Enhancing Levenshtein distance algorithm for assessing behavioral trust.
1
15 5
16 0
17 51
18 1
19
Micael: An Autonomous Mobile Agent System to Protect New Generation Networked Applications.
15
20 2

About Luci Pìrmez

Luci Pìrmez is a scholar working on Computer Networks and Communications, Software and Information Systems, having authored 73 papers that have together received 958 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (33 papers), IoT and Edge/Fog Computing (11 papers) and Context-Aware Activity Recognition Systems (10 papers). The work is most often cited by research in Computer Networks and Communications (752 citations), Information Systems (184 citations) and Computer Vision and Pattern Recognition (154 citations). Luci Pìrmez has collaborated with scholars based in Brazil, Australia and United States. Frequent co-authors include Flávia C. Delicato, Paulo F. Pires, Albert Y. Zomaya, Luiz Fernando Rust da Costa Carmo, Claudio M. de Farias, Igor Leão dos Santos, Wei Li, José Neuman de Souza, Samee U. Khan and Thaı́s Batista. Their work appears in journals such as IEEE Communications Magazine, ACM Computing Surveys and IEEE Transactions on Computers.

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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