Daniel L. Guidoni

1.7k total citations
94 papers, 969 citations indexed

About

Daniel L. Guidoni is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Building and Construction. According to data from OpenAlex, Daniel L. Guidoni has authored 94 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 58 papers in Electrical and Electronic Engineering and 16 papers in Building and Construction. Recurrent topics in Daniel L. Guidoni's work include Energy Efficient Wireless Sensor Networks (32 papers), Vehicular Ad Hoc Networks (VANETs) (27 papers) and Opportunistic and Delay-Tolerant Networks (21 papers). Daniel L. Guidoni is often cited by papers focused on Energy Efficient Wireless Sensor Networks (32 papers), Vehicular Ad Hoc Networks (VANETs) (27 papers) and Opportunistic and Delay-Tolerant Networks (21 papers). Daniel L. Guidoni collaborates with scholars based in Brazil, Canada and Indonesia. Daniel L. Guidoni's co-authors include Antônio A. F. Loureiro, Leandro A. Villas, Fernanda Sumika Hojo de Souza, Raquel A. F. Mini, Azzedine Boukerche, Jó Ueyama, Cristiano M. Silva, Guilherme Maia, Natália Satchiko Hojo-Souza and Regina B. Araújo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Daniel L. Guidoni

88 papers receiving 931 citations

Peers

Daniel L. Guidoni
Cristiano M. Silva Brazil
G. G. Md. Nawaz Ali United States
Zhitong Huang China
Nikumani Choudhury India
Ohyun Jo South Korea
Felipe Núñez Chile
Nadeem Ahmed Australia
Anuj Gupta India
Murat Şimşek Canada
Cristiano M. Silva Brazil
Daniel L. Guidoni
Citations per year, relative to Daniel L. Guidoni Daniel L. Guidoni (= 1×) peers Cristiano M. Silva

Countries citing papers authored by Daniel L. Guidoni

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Guidoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Guidoni. 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 Daniel L. Guidoni. The network helps show where Daniel L. Guidoni may publish in the future.

Co-authorship network of co-authors of Daniel L. Guidoni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Guidoni. A scholar is included among the top collaborators of Daniel L. Guidoni 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 Daniel L. Guidoni. Daniel L. Guidoni 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
1.
Villas, Leandro A., et al.. (2024). A Novel Federated Meta-Learning Approach for Discriminating Sedentary Behavior From Wearable Data. IEEE Internet of Things Journal. 11(19). 31909–31916. 2 indexed citations
2.
Guidoni, Daniel L., et al.. (2024). Nash Equilibrium-based Resource Allocation Mechanism in Internet of Vehicles. 1–6. 1 indexed citations
3.
4.
Gonçalves, Vinícius P., et al.. (2023). F-NIDS — A Network Intrusion Detection System based on federated learning. Computer Networks. 236. 110010–110010. 14 indexed citations
5.
Filho, Geraldo P. Rocha, et al.. (2023). HARMONIC: Shapley values in market games for resource allocation in vehicular clouds. Ad Hoc Networks. 149. 103224–103224. 4 indexed citations
6.
Souza, Fernanda Sumika Hojo de, et al.. (2023). A Study of Charging Station Location for Electric Vehicles in Intelligent Transportation Systems. 625–632. 1 indexed citations
7.
Hojo-Souza, Natália Satchiko, Waasila Jassat, Daniel L. Guidoni, & Fernanda Sumika Hojo de Souza. (2023). Risks of Adverse Outcomes for Hospitalized COVID-19 Patients during the Four Waves in Brazil According to SARS-CoV-2 Variants, Age Group, and Vaccine Status. Viruses. 15(10). 1997–1997. 1 indexed citations
8.
9.
Meneguette, Rodolfo I., et al.. (2023). F-NIDS – Sistema de Detecção de Intrusão descentralizado com base em Aprendizado Federado. RIUnB Institutional Repository (University of Brasília). 29–42.
10.
Souza, Fernanda Sumika Hojo de, et al.. (2022). An overview of Brazilian working age adults vulnerability to COVID-19. Scientific Reports. 12(1). 2798–2798. 4 indexed citations
11.
Hojo-Souza, Natália Satchiko, et al.. (2022). A temporal study of Brazilian pregnant and postpartum women vulnerability for COVID-19: Characteristics, risk factors and outcomes. The Lancet Regional Health - Americas. 9. 100197–100197. 4 indexed citations
12.
Hojo-Souza, Natália Satchiko, et al.. (2022). Profile of Brazilian inpatients with COVID-19 vaccine breakthrough infection and risk factors for unfavorable outcome. Revista Panamericana de Salud Pública. 46. 1–10. 8 indexed citations
13.
Lam, Chan‐Tong, et al.. (2021). Airtime Aware Dynamic Network Slicing for Heterogeneous IoT Services in IEEE 802.11ah. 1–6. 2 indexed citations
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15.
Souza, Fernanda Sumika Hojo de, et al.. (2021). Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data. Frontiers in Artificial Intelligence. 4. 579931–579931. 30 indexed citations
16.
Souza, Fernanda Sumika Hojo de, et al.. (2021). On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLoS ONE. 16(3). e0248580–e0248580. 62 indexed citations
17.
Brennand, Celso A. R. L., Geraldo P. Rocha Filho, Guilherme Maia, et al.. (2019). Towards a Fog-Enabled Intelligent Transportation System to Reduce Traffic Jam. Sensors. 19(18). 3916–3916. 33 indexed citations
18.
Meneguette, Rodolfo I., Geraldo P. Rocha Filho, Daniel L. Guidoni, et al.. (2016). Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments. PLoS ONE. 11(8). e0159110–e0159110. 47 indexed citations
19.
Pazzi, Richard W., et al.. (2016). Characterizing GPS outages: Geodesic Dead Reckoning solution for VANETs and ITS. 18–21. 1 indexed citations
20.
Villas, Leandro A., Azzedine Boukerche, Daniel L. Guidoni, et al.. (2011). Time-space correlation for real-time, accurate, and energy-aware data reporting in wireless sensor networks. 59–66. 7 indexed citations

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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