Daniel de Oliveira

2.6k total citations
158 papers, 1.4k citations indexed

About

Daniel de Oliveira is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Daniel de Oliveira has authored 158 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Information Systems and Management, 81 papers in Computer Networks and Communications and 69 papers in Information Systems. Recurrent topics in Daniel de Oliveira's work include Scientific Computing and Data Management (99 papers), Distributed and Parallel Computing Systems (69 papers) and Cloud Computing and Resource Management (39 papers). Daniel de Oliveira is often cited by papers focused on Scientific Computing and Data Management (99 papers), Distributed and Parallel Computing Systems (69 papers) and Cloud Computing and Resource Management (39 papers). Daniel de Oliveira collaborates with scholars based in Brazil, France and United States. Daniel de Oliveira's co-authors include Marta Mattoso, Eduardo Ogasawara, Kary Ocaña, Fernanda Baião, Jonas Dias, Patrick Valduriez, Vítor Silva, Fábio Porto, Lúcia M. A. Drummond and Aline Paes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Daniel de Oliveira

130 papers receiving 1.3k 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 de Oliveira Brazil 19 882 836 808 161 70 158 1.4k
Moustafa Ghanem United Kingdom 20 869 1.0× 317 0.4× 644 0.8× 277 1.7× 44 0.6× 66 1.5k
Roger Barga United States 20 767 0.9× 374 0.4× 632 0.8× 192 1.2× 77 1.1× 69 1.1k
Dana Petcu Romania 18 748 0.8× 135 0.2× 790 1.0× 173 1.1× 53 0.8× 121 1.2k
Zhiwei Xu China 16 591 0.7× 39 0.0× 363 0.4× 218 1.4× 34 0.5× 67 1.1k
Carlo Mastroianni Italy 21 812 0.9× 51 0.1× 438 0.5× 236 1.5× 10 0.1× 114 1.3k
Sushil K. Prasad United States 17 631 0.7× 39 0.0× 225 0.3× 95 0.6× 54 0.8× 112 899
Esteban Zimányi Belgium 18 716 0.8× 45 0.1× 404 0.5× 464 2.9× 170 2.4× 110 1.2k
Mohsen Sharifi Iran 18 772 0.9× 29 0.0× 532 0.7× 187 1.2× 15 0.2× 170 1.4k
Salman Salloum China 7 281 0.3× 42 0.1× 247 0.3× 255 1.6× 47 0.7× 14 676
J. Anuradha India 11 162 0.2× 42 0.1× 176 0.2× 352 2.2× 79 1.1× 31 942

Countries citing papers authored by Daniel de Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Daniel de Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel de Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel de Oliveira. A scholar is included among the top collaborators of Daniel de Oliveira 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 de Oliveira. Daniel de Oliveira 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.
Hollis, Julie A., et al.. (2025). The Geological Survey Organisations in delivering Critical Raw Materials autonomy through a Geological Service for Europe. Przegląd Geologiczny. 73(3). 215–228. 1 indexed citations
2.
Frota, Yuri, et al.. (2025). Optimizing Resource Estimation for Scientific Workflows in HPC Environments: A Layered‐Bucket Heuristic Approach. Concurrency and Computation Practice and Experience. 37(4-5). 1 indexed citations
3.
Oliveira, Daniel de, et al.. (2024). Breadcrumbs for your Deep Learning Model: Following Provenance Traces with DLProv. Software Impacts. 23. 100730–100730. 1 indexed citations
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5.
Oliveira, Daniel de, et al.. (2024). Exploring Portuguese Hate Speech Detection with Transformers. 1 indexed citations
6.
7.
Oliveira, Daniel de, et al.. (2024). Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1224–1234. 1 indexed citations
8.
Oliveira, Daniel de, et al.. (2023). LHTR.br: em Busca de um Conjunto Anotado de Textos Manuscritos em Português. 13–24. 1 indexed citations
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10.
Melo, Alba Cristina Magalhães Alves de, et al.. (2023). Optimizing computational costs of Spark for SARS‐CoV‐2 sequences comparisons on a commercial cloud. Concurrency and Computation Practice and Experience. 35(18). 1 indexed citations
11.
Oliveira, Daniel de, et al.. (2022). Uso de Game Design para a elaboração de uma Avaliação Gamificada no Ensino Superior. 856–865. 1 indexed citations
12.
Paes, Aline, et al.. (2016). SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning. IEEE International Conference on Cloud Computing Technology and Science. 23. 2 indexed citations
13.
Silva, Vítor, et al.. (2016). In Situ Data Steering on Sedimentation Simulation with Provenance Data. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Oliveira, Daniel de, et al.. (2014). Debugging Scientific Workflows with Provenance: Achievements and Lessons Learned.. 67–76. 2 indexed citations
15.
Ocaña, Kary, et al.. (2014). Captura e Consulta a Dados de Proveniência Retrospectiva Implícita Intra-Atividade.. 37–46. 2 indexed citations
16.
Oliveira, Daniel de, et al.. (2014). Uso de SGBDs NoSQL na Gerência da Proveniência Distribuída em Workflows Científicos.. 187–196. 3 indexed citations
17.
Oliveira, Daniel de, et al.. (2013). Performance Analysis of Data Filtering in Scientific Workflows. Journal of Information and Data Management. 4(1). 17–26. 1 indexed citations
18.
Oliveira, Daniel de, Eduardo Ogasawara, Jonas Dias, Fernanda Baião, & Marta Mattoso. (2012). Ontology-based Semi-automatic Workflow Composition. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 3 indexed citations
19.
Cruz, Sérgio Manuel Serra da, et al.. (2011). Capturing Distributed Provenance Metadata from Cloud-Based Scientific Workflows. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(1). 43–50. 5 indexed citations
20.
Oliveira, Daniel de, Eduardo Ogasawara, Fernanda Baião, & Marta Mattoso. (2011). Adding Ontologies to Scientific Workflow Composition.. 147–154. 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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