Carmen Guerrero

760 citations
39 papers · 416 indexed · h-index 11

Carmen Guerrero

35 papers receiving 392 citations

Peers

Carmen Guerrero
Comparison fields: 5 of 35
  • Computer Networks and Communications 376
  • Electrical and Electronic Engineering 175
  • Artificial Intelligence 59
  • Information Systems 37
  • Statistical and Nonlinear Physics 19
Replace Rosa M. M. Leão with:
Rosa M. M. Leão Brazil
Óscar Esparza Spain
Stefan Alfredsson Sweden
Ali Safari Khatouni Italy
Tatsuro Takahashi Japan
Sandeep Nair Narayanan United States
Pietro Marchetta Italy
José Manuel Giménez-Guzmán Spain
J. Liu Canada
Jean‐Louis Rougier France
Carmen Guerrero relative to Rosa M. M. Leão Brazil Rosa M. M. Leão's profile →
Citations per field
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Rosa M. M. Leão · 1×
Citations per year

Countries citing papers authored by Carmen Guerrero

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Guerrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20192
3 20189
4 201827
5
Resource Sharing for a 5G Multi-tenant and Multi-service Architecture
201713
6 20155
7 20130
8 20139
9 20121
10
Benefits of an implementation of H-P2PSIP
20101
11 20109
12 20091
13 20095
14 20080
15 20082
16 200815
17 20081
18 200713
19
Hybrid Architecture for Web Search Systems Based on Hierarchical Taxonomies
20061
20
Demo of Triple Play Services with QoS in a Broadband Access Residential Gateway
20066

About Carmen Guerrero

Carmen Guerrero is a scholar working on Computer Networks and Communications, Development and Management Information Systems, having authored 39 papers that have together received 416 indexed citations. Recurring topics across this work include Caching and Content Delivery (21 papers), Peer-to-Peer Network Technologies (17 papers), Software-Defined Networks and 5G (9 papers), IoT and Edge/Fog Computing (7 papers), Multimedia Communication and Technology (6 papers), Network Traffic and Congestion Control (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Computer Networks and Communications (376 citations), Electrical and Electronic Engineering (175 citations) and Artificial Intelligence (59 citations). Carmen Guerrero has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Carlos J. Bernardos, S. Bilal, Rubén Cuevas, √Ångel Cuevas, Andreas Mauthe, Sebastian Kaune, Isaías Martinez-Yelmo, Arturo Azcorra, Reza Rejaie and Gareth Tyson.

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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