Frederico Lopes

903 citations
63 papers · 605 · h-index 14

Impact in

Papers in

Frederico Lopes

57 papers receiving 572 citations

Peers

Frederico Lopes
Comparison fields: 5 of 78
  • Transportation 86
  • Media Technology 103
  • Information Systems 240
  • Computer Networks and Communications 201
  • Artificial Intelligence 159
Replace Constantinos Marios Angelopoulos with:
Constantinos Marios Angelopoulos Greece
Will Serrano United Kingdom
Daniele Cenni Italy
Francesco Nocera Italy
Michela Paolucci Italy
Sylvia Ilieva Bulgaria
Enrico Barbierato Italy
Mihai Sănduleac Romania
Gabriel Santos Portugal
Hyung Rim Choi South Korea
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Citations per field
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Constantinos Marios Angelopoulos · 1×
Citations per year

Countries citing papers authored by Frederico Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Frederico Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202366
2 201848
3 201044
4 201634
5 202131
6 201727
7 202026
8 202224
9 201719
10 201618
11 201616
12 201614
13 201214
14 202213
15 201713
16 201613
17 201512
18 201212
19 201911
20 20189

About Frederico Lopes

Frederico Lopes is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 605 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (21 papers), Service-Oriented Architecture and Web Services (15 papers), Smart Cities and Technologies (14 papers), Cloud Computing and Resource Management (10 papers), Context-Aware Activity Recognition Systems (10 papers), Human Mobility and Location-Based Analysis (8 papers), Advanced Software Engineering Methodologies (7 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Transportation (86 citations), Media Technology (103 citations), Information Systems (240 citations), Computer Networks and Communications (201 citations) and Artificial Intelligence (159 citations). Frederico Lopes has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Nélio Cacho, Thaı́s Batista, Everton Cavalcante, Paulo F. Pires, Flávia C. Delicato, Bruno Fernandes, Paulo Nováis, Eugénio C. Ferreira, M. A. Pereira and M. M. Alves. Their work appears in journals such as ACM Transactions on Internet Technology, International Journal of Tourism Cities, Forensic Science International Digital Investigation, Future Generation Computer Systems and ACS ES&T Water.

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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