Élisson da Silva Rocha

585 total citations
29 papers, 342 citations indexed

About

Élisson da Silva Rocha is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Élisson da Silva Rocha has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Élisson da Silva Rocha's work include Software-Defined Networks and 5G (5 papers), Software System Performance and Reliability (5 papers) and Cloud Computing and Resource Management (4 papers). Élisson da Silva Rocha is often cited by papers focused on Software-Defined Networks and 5G (5 papers), Software System Performance and Reliability (5 papers) and Cloud Computing and Resource Management (4 papers). Élisson da Silva Rocha collaborates with scholars based in Brazil, Sweden and Ireland. Élisson da Silva Rocha's co-authors include Patrícia Takako Endo, Guto Leoni Santos, Theo Lynn, Ivanovitch Silva, Djamel Sadok, Judith Kelner, Vanderson de Souza Sampaio, M. V. Marquezini, Glauco Estácio Gonçalves and João Fausto Lorenzato de Oliveira and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Élisson da Silva Rocha

20 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Élisson da Silva Rocha Brazil 9 158 139 110 70 52 29 342
Shaik Akbar India 7 271 1.7× 67 0.5× 123 1.1× 112 1.6× 29 0.6× 15 375
Ni Zhu United Kingdom 5 106 0.7× 119 0.9× 51 0.5× 27 0.4× 63 1.2× 6 252
Hammadi Nait‐Charif United Kingdom 8 343 2.2× 64 0.5× 147 1.3× 124 1.8× 52 1.0× 18 426
Soumen Moulik India 14 103 0.7× 267 1.9× 191 1.7× 99 1.4× 101 1.9× 40 495
Sreenivasan Ramasamy Ramamurthy United States 8 229 1.4× 63 0.5× 84 0.8× 94 1.3× 37 0.7× 20 349
Abdelkrim Hadjidj France 4 47 0.3× 199 1.4× 90 0.8× 56 0.8× 58 1.1× 4 311
We‐Duke Cho South Korea 9 155 1.0× 94 0.7× 49 0.4× 46 0.7× 63 1.2× 53 295
Sungyong Lee South Korea 5 161 1.0× 106 0.8× 68 0.6× 73 1.0× 53 1.0× 11 324
Chia-Hao Hsu Taiwan 10 101 0.6× 29 0.2× 63 0.6× 55 0.8× 69 1.3× 24 323

Countries citing papers authored by Élisson da Silva Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Élisson da Silva Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Élisson da Silva Rocha. 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 Élisson da Silva Rocha. The network helps show where Élisson da Silva Rocha may publish in the future.

Co-authorship network of co-authors of Élisson da Silva Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Élisson da Silva Rocha. A scholar is included among the top collaborators of Élisson da Silva Rocha 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 Élisson da Silva Rocha. Élisson da Silva Rocha 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.
Rocha, Élisson da Silva, et al.. (2025). On the usage of artificial intelligence in leprosy care: A systematic literature review. PLoS Computational Biology. 21(6). e1012550–e1012550.
2.
Silva, Albérico B. F. da, et al.. (2025). Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models. PLoS ONE. 20(3). e0316574–e0316574. 1 indexed citations
3.
Rocha, Élisson da Silva, et al.. (2025). Integrating machine learning and spatial clustering for malaria case prediction in Brazil’s Legal Amazon. BMC Infectious Diseases. 25(1). 802–802.
4.
Rocha, Élisson da Silva, et al.. (2025). Utilization of tree-based machine learning models for predicting low birth weight cases. BMC Pregnancy and Childbirth. 25(1). 207–207. 1 indexed citations
5.
6.
Rocha, Élisson da Silva, et al.. (2025). Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?. BMC Pregnancy and Childbirth. 25(1). 906–906.
7.
Silva, Albérico B. F. da, Élisson da Silva Rocha, & Patrícia Takako Endo. (2025). Evaluating how different balancing data techniques impact on prediction of premature birth - Extended Abstract – CTDGSI 2025. 111–114.
8.
Santos, Guto Leoni, Élisson da Silva Rocha, Djamel Sadok, et al.. (2024). Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach. Simulation Modelling Practice and Theory. 133. 102927–102927. 1 indexed citations
9.
Rocha, Élisson da Silva, et al.. (2024). Evaluation of artificial intelligence models for predicting low birth weight using Brazilian real data. Health and Technology. 15(1). 169–184.
10.
Rocha, Élisson da Silva, et al.. (2023). Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models. 155–162. 1 indexed citations
11.
Rocha, Élisson da Silva, et al.. (2023). Predicting congenital syphilis cases: A performance evaluation of different machine learning models. PLoS ONE. 18(6). e0276150–e0276150. 2 indexed citations
12.
Rocha, Élisson da Silva, et al.. (2022). On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature. BMC Medical Informatics and Decision Making. 22(1). 334–334. 13 indexed citations
13.
Santos, Guto Leoni, Élisson da Silva Rocha, Glauco Estácio Gonçalves, et al.. (2021). Service Function Chain Placement in Distributed Scenarios: A Systematic Review. Journal of Network and Systems Management. 30(1). 40 indexed citations
14.
Santos, Guto Leoni, Glauco Estácio Gonçalves, Élisson da Silva Rocha, et al.. (2021). Optimizing NFV placement for distributing micro-data centers in cellular networks. The Journal of Supercomputing. 77(8). 8995–9019. 4 indexed citations
15.
Rocha, Élisson da Silva, Guto Leoni Santos, Glauco Estácio Gonçalves, et al.. (2020). Aggregating data center measurements for availability analysis. Software Practice and Experience. 51(5). 868–892. 2 indexed citations
16.
Rocha, Élisson da Silva, Guto Leoni Santos, & Patrícia Takako Endo. (2020). Analyzing the impact of power subsystem failures and checkpoint mechanisms on availability of cloud applications. IEEE Latin America Transactions. 18(1). 138–146. 4 indexed citations
17.
Santos, Guto Leoni, et al.. (2019). Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks. Sensors. 19(7). 1644–1644. 168 indexed citations
18.
Rocha, Élisson da Silva, et al.. (2018). Developing an e-Health System Based on IoT, Fog and Cloud Computing. 34 indexed citations
19.
Rocha, Élisson da Silva, et al.. (2016). Problem Based Learning in the Project Management Classroom. 13. 2740–2751. 1 indexed citations
20.
Rocha, Élisson da Silva, et al.. (2016). Caruaru Arretado: Utilização de Problem-Based Learning (PBL) em um Curso de Desenvolvimento de Jogos para Alunos do Ensino Médio. Anais ... Workshops do Congresso Brasileiro de Informática na Educação. 1. 354–354. 1 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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