Bruno S. Faiçal

30 papers receiving 908 citations

Peers

Bruno S. Faiçal
Comparison fields: 5 of 106
  • Computer Networks and Communications 261
  • Information Systems 195
  • Computer Vision and Pattern Recognition 164
  • Aerospace Engineering 181
  • Plant Science 261
Replace Vikram Puri with:
Vikram Puri Vietnam
Pedro Henrique Gomes Brazil
Dewei Yi United Kingdom
Anandarup Mukherjee India
Leandro Yukio Mano Brazil
Hafed Zarzour Algeria
Geraldo P. Rocha Filho Brazil
Heba Kurdi Saudi Arabia
Christophe Rosenberger France
Jin‐Ghoo Choi South Korea
Bruno S. Faiçal relative to Vikram Puri Vietnam Vikram Puri's profile →
Citations per field
00.5×3.7×
Vikram Puri · 1×
Citations per year

Countries citing papers authored by Bruno S. Faiçal

Since Specialization
Citations

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

Fields of papers citing papers by Bruno S. Faiçal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno S. Faiçal. 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 Bruno S. Faiçal. The network helps show where Bruno S. Faiçal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020176
2 2017175
3 2016170
4 2014149
5 201451
6 201447
7 201535
8 202032
9 201617
10 201715
11 201511
12 201510
13 20237
14 20167
15 20167
16 20156
17 20196
18 20206
19 20194
20 20183

About Bruno S. Faiçal

Bruno S. Faiçal is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Plant Science, having authored 30 papers that have together received 949 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Plant Surface Properties and Treatments (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Underwater Vehicles and Communication Systems (3 papers), Water Quality Monitoring Technologies (3 papers), UAV Applications and Optimization (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (261 citations), Information Systems (195 citations), Computer Vision and Pattern Recognition (164 citations), Aerospace Engineering (181 citations) and Plant Science (261 citations). Bruno S. Faiçal has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Jó Ueyama, Gustavo Pessin, Bhaskar Krishnamachari, Pedro Henrique Gomes, Heitor Freitas, Leandro Yukio Mano, Geraldo P. Rocha Filho, André C. P. L. F. de Carvalho, Leandro A. Villas and Patrícia A. Vargas. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Aerospace and Electronic Systems Magazine, Journal of Systems Architecture, PLoS ONE and IEEE Communications Magazine.

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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