Daniel Macêdo Batista

1.6k total citations
86 papers, 957 citations indexed

About

Daniel Macêdo Batista is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel Macêdo Batista has authored 86 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 28 papers in Information Systems and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel Macêdo Batista's work include Cloud Computing and Resource Management (24 papers), Software-Defined Networks and 5G (19 papers) and Distributed and Parallel Computing Systems (19 papers). Daniel Macêdo Batista is often cited by papers focused on Cloud Computing and Resource Management (24 papers), Software-Defined Networks and 5G (19 papers) and Distributed and Parallel Computing Systems (19 papers). Daniel Macêdo Batista collaborates with scholars based in Brazil, United States and Peru. Daniel Macêdo Batista's co-authors include Nelson L. S. da Fonseca, Anna Liu, Sherif Sakr, Mohammad Alomari, Gustavo B. Figueiredo, Roberto Hirata, Flávio K. Miyazawa, Massimo Tornatore, Seyedamin Pouriyeh and Biswanath Mukherjee and has published in prestigious journals such as Nature Communications, Neuron and IEEE Communications Surveys & Tutorials.

In The Last Decade

Daniel Macêdo Batista

80 papers receiving 908 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Macêdo Batista Brazil 17 670 421 200 195 99 86 957
Shashi Guruprasad United States 7 1.4k 2.0× 347 0.8× 187 0.9× 220 1.1× 98 1.0× 8 1.5k
Eli Tilevich United States 15 434 0.6× 467 1.1× 130 0.7× 221 1.1× 59 0.6× 118 844
Laiping Zhao China 14 529 0.8× 422 1.0× 203 1.0× 103 0.5× 84 0.8× 68 807
Yuchen Yang China 3 568 0.8× 338 0.8× 169 0.8× 255 1.3× 195 2.0× 6 848
Luciano Paschoal Gaspary Brazil 19 1.3k 2.0× 395 0.9× 476 2.4× 220 1.1× 111 1.1× 124 1.5k
Hongbin Zhao China 3 568 0.8× 338 0.8× 168 0.8× 250 1.3× 199 2.0× 4 844
Uzair Javaid Singapore 10 321 0.5× 460 1.1× 233 1.2× 163 0.8× 108 1.1× 14 630
A. Kumaravel India 11 300 0.4× 176 0.4× 90 0.5× 245 1.3× 59 0.6× 51 824
Colin Dixon United States 14 1.3k 1.9× 312 0.7× 339 1.7× 370 1.9× 65 0.7× 22 1.6k

Countries citing papers authored by Daniel Macêdo Batista

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Macêdo Batista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Macêdo Batista

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Macêdo Batista. A scholar is included among the top collaborators of Daniel Macêdo Batista 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 Macêdo Batista. Daniel Macêdo Batista 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.
Hamdan, Mosab, et al.. (2024). Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification. Kocaeli Üniversitesi - AVESİS. 1–7. 2 indexed citations
2.
Batista, Daniel Macêdo, et al.. (2023). A Crash Response System using LoRa-based V2X Communications. 1–5. 2 indexed citations
3.
Rolle, Camarin E., Uros Topalovic, Rajat S. Shivacharan, et al.. (2023). Responsive deep brain stimulation guided by ventral striatal electrophysiology of obsession durably ameliorates compulsion. Neuron. 112(1). 73–83.e4. 21 indexed citations
4.
Stangl, Matthias, Uros Topalovic, Daniel Macêdo Batista, et al.. (2023). Dynamic neural representations of memory and space during human ambulatory navigation. Nature Communications. 14(1). 6643–6643. 15 indexed citations
5.
Figueiredo, Gustavo B., et al.. (2022). B5GSim - Um Simulador para Redes Beyond 5G. 49–56.
6.
Hirata, Roberto, et al.. (2021). An Improved Tool for Detection of XSS Attacks by Combining CNN with LSTM. 1–8. 5 indexed citations
7.
Batista, Daniel Macêdo, et al.. (2021). Avaliação da Integração do Protocolo MQTT em uma Plataforma de Cidades Inteligentes. 217–224. 1 indexed citations
8.
Herrera, Juan Luis, Daniel Macêdo Batista, Roberto Hirata, et al.. (2021). Predicting Response Time in SDN-Fog Environments for IIoT Applications. 404. 1–6. 5 indexed citations
9.
Batista, Daniel Macêdo, et al.. (2020). Program-aware fuzzing for MQTT applications. 582–586. 15 indexed citations
10.
Batista, Daniel Macêdo, et al.. (2019). Low-Latency and Energy-Efficient BBU Placement and VPON Formation in Virtualized Cloud-Fog RAN. Journal of Optical Communications and Networking. 11(4). B37–B37. 25 indexed citations
11.
Figueiredo, Gustavo B., et al.. (2019). 5GPy: A SimPy-based simulator for performance evaluations in 5G hybrid Cloud-Fog RAN architectures. Simulation Modelling Practice and Theory. 101. 102030–102030. 25 indexed citations
12.
Figueiredo, Gustavo B., et al.. (2019). A Batch Scheduling Algorithm for VPON Reconfiguration and BBU Migration in Hybrid Cloud-Fog RAN. 1–8. 1 indexed citations
13.
Goldman, Alfredo, et al.. (2018). Efficient Resources Utilization by Different Microservices Deployment Models. 1–4. 7 indexed citations
14.
Rodrigues, Genaína Nunes, et al.. (2017). Planning runtime software adaptation through pragmatic goal model. Data & Knowledge Engineering. 109. 25–40. 8 indexed citations
15.
Batista, Daniel Macêdo, et al.. (2017). Optimal Placement of Virtualized BBU Processing in Hybrid Cloud-Fog RAN over TWDM-PON. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 24 indexed citations
16.
Batista, Daniel Macêdo, et al.. (2013). A RFID QoS mechanism for IoT tracking applications. 1–4. 9 indexed citations
17.
Batista, Daniel Macêdo, et al.. (2012). Approximated algorithms for mapping virtual networks on network substrates. 1460–1465. 6 indexed citations
18.
Batista, Daniel Macêdo, et al.. (2011). Embedding Software Requirements in Grid Scheduling. 1–6. 4 indexed citations
19.
Batista, Daniel Macêdo, et al.. (2009). Performance Analysis of Available Bandwidth Estimation Tools for Grid Networks. 1–5. 3 indexed citations
20.
Batista, Daniel Macêdo, Nelson L. S. da Fonseca, & Flávio K. Miyazawa. (2007). A set of schedulers for grid networks. 209–213. 16 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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