Ricardo Morla

573 total citations
50 papers, 372 citations indexed

About

Ricardo Morla is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ricardo Morla has authored 50 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ricardo Morla's work include Internet Traffic Analysis and Secure E-voting (13 papers), Wireless Networks and Protocols (11 papers) and Peer-to-Peer Network Technologies (9 papers). Ricardo Morla is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (13 papers), Wireless Networks and Protocols (11 papers) and Peer-to-Peer Network Technologies (9 papers). Ricardo Morla collaborates with scholars based in Portugal, United States and United Kingdom. Ricardo Morla's co-authors include Muhammad Ajmal Azad, Nigel Davies, Ana Aguiar, Paulo César Masiero, Carlos Pereira, Sushil Bajracharya, Otávio Augusto Lazzarini Lemos, Joel Ossher, Cristina Videira Lopes and João M. P. Cardoso and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Future Generation Computer Systems and Neural Computing and Applications.

In The Last Decade

Ricardo Morla

49 papers receiving 351 citations

Peers

Ricardo Morla
Comparison fields: 5 of 47
  • Computer Networks and Communications 245
  • Information Systems 141
  • Artificial Intelligence 127
  • Computer Vision and Pattern Recognition 93
  • Electrical and Electronic Engineering 67
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Citations per field, relative to Ricardo Morla
Ricardo Morla · 1×
Citations per year, relative to Ricardo Morla
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Countries citing papers authored by Ricardo Morla

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Morla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Morla

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Morla. A scholar is included among the top collaborators of Ricardo Morla 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 Ricardo Morla. Ricardo Morla 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
# Work Indexed citations
1 2
2 3
3 8
4 10
5 3
6 16
7 4
8 3
9 7
10 9
11 2
12 4
13 1
14 2
15 6
16
Multistage SPIT detection in transit VoIP
12
17
A 3D Simulation Framework for Safe Ambient-Assisted Home Care
9
18 5
19 7
20 10

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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