Danilo Araújo

478 citations
46 papers · 320 · h-index 9

Impact in

Papers in

Danilo Araújo

34 papers receiving 300 citations

Peers

Danilo Araújo
Comparison fields: 5 of 68
  • Internal Medicine 61
  • Computer Networks and Communications 81
  • Electrical and Electronic Engineering 117
  • Statistical and Nonlinear Physics 17
  • Industrial and Manufacturing Engineering 14
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William T. Marshall United States
Zihao Zhang China
Thomas Hepp Germany
Mohammad Haroon India
Mehdi Teimouri Iran
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Araújo

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Araújo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Danilo Araújo, 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 Danilo Araújo Line = papers co-authored together Danilo Araújo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006114
2 201526
3 201125
4 201523
5 202022
6 202114
7 201110
8 20208
9 20118
10 20158
11 20186
12 20156
13 20196
14 20145
15 20234
16 20174
17 20134
18 20154
19 20163
20 20162

About Danilo Araújo

Danilo Araújo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science, having authored 46 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (23 papers), Optical Network Technologies (16 papers), Advanced Photonic Communication Systems (9 papers), Software-Defined Networks and 5G (9 papers), Complex Network Analysis Techniques (6 papers), Photonic and Optical Devices (4 papers), Hydrological Forecasting Using AI (2 papers) and Semiconductor Lasers and Optical Devices (2 papers). The work is most often cited by research in Internal Medicine (61 citations), Computer Networks and Communications (81 citations), Electrical and Electronic Engineering (117 citations), Statistical and Nonlinear Physics (17 citations) and Industrial and Manufacturing Engineering (14 citations). Danilo Araújo has collaborated with scholars based in Brazil, Belgium and United States. Frequent co-authors include Carmelo J. A. Bastos-Filho, Joaquim F. Martins-Filho, Erivaldo Alves, Ana Rocha, Ermeson Andrade, Daniel A. R. Chaves, Bruno Nogueira, Jamilson Dantas, César França and Teresa B. Ludermir. Their work appears in journals such as Expert Systems with Applications, Photonic Network Communications, Optical Fiber Technology, IEEE Communications Letters and Journal of Optical Communications and Networking.

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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