Felipe Estrada‐Solano

13 papers receiving 849 citations

Hit Papers

A comprehensive survey on machine learning for networking...20182026202020232018200400600

Peers

Felipe Estrada‐Solano
Comparison fields: 5 of 86
  • Computer Networks and Communications 647
  • Artificial Intelligence 375
  • Electrical and Electronic Engineering 221
  • Information Systems 92
  • Signal Processing 70
Replace Oscar Maurício Caicedo Rendón with:
Oscar Maurício Caicedo Rendón Colombia
Noura Limam Canada
Sara Ayoubi Canada
Ons Aouedi France
Ning Hu China
Liuwei Huo China
Kai Peng China
Gaurav Choudhary Denmark
Behrouz Pourghebleh Iran
Nashid Shahriar Canada
Felipe Estrada‐Solano relative to Oscar Maurício Caicedo Rendón Colombia Oscar Maurício Caicedo Rendón's profile →
Citations per field
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Oscar Maurício Caicedo Rendón · 1×
Citations per year

Countries citing papers authored by Felipe Estrada‐Solano

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Estrada‐Solano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe Estrada‐Solano. 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 Felipe Estrada‐Solano. The network helps show where Felipe Estrada‐Solano may publish in the future.

Co-authorship network of co-authors of Felipe Estrada‐Solano

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Estrada‐Solano. A scholar is included among the top collaborators of Felipe Estrada‐Solano 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 Felipe Estrada‐Solano. Felipe Estrada‐Solano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
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5 23
6 9
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A comprehensive survey on machine learning for networking: evolution, applications and research opportunitiesbreakdown →
651
8 150
9 6
10 4
11 15
12 5
13 4
14 6
15 8
16
Technical Criteria for Value-Added Services Creation, Execution and Deployment, on Next Generation Networks
1

About Felipe Estrada‐Solano

Felipe Estrada‐Solano is a scholar working on Computer Networks and Communications, Computer Science Applications and Information Systems, having authored 16 papers that have together received 883 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (11 papers), Network Security and Intrusion Detection (8 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Computer Networks and Communications (647 citations), Artificial Intelligence (375 citations) and Signal Processing (70 citations). Felipe Estrada‐Solano has collaborated with scholars based in Colombia, Brazil and Canada. Frequent co-authors include Oscar Maurício Caicedo Rendón, Sara Ayoubi, Nashid Shahriar, Noura Limam, Mohammad A. Salahuddin, Raouf Boutaba, Lisandro Zambenedetti Granville, Nelson L. S. da Fonseca, Armando Ordóñez and Liane Margarida Rockenbach Tarouco. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Industrial Informatics and Computer Networks.

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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