Dalvan Griebler

921 total citations
80 papers, 450 citations indexed

About

Dalvan Griebler is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Dalvan Griebler has authored 80 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 42 papers in Information Systems and 42 papers in Hardware and Architecture. Recurrent topics in Dalvan Griebler's work include Parallel Computing and Optimization Techniques (41 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (31 papers). Dalvan Griebler is often cited by papers focused on Parallel Computing and Optimization Techniques (41 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (31 papers). Dalvan Griebler collaborates with scholars based in Brazil, Italy and United States. Dalvan Griebler's co-authors include Luiz Gustavo Fernandes, Marco Danelutto, Massimo Torquati, Gabriele Mencagli, Cláudio F. R. Geyer, Rodrigo Pereira dos Santos, Rodrigo da Rosa Righi, Charles Stein, Cristiano André da Costa and Philippe O. A. Navaux and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dalvan Griebler

64 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalvan Griebler Brazil 11 346 241 212 68 33 80 450
Luiz Gustavo Fernandes Brazil 12 352 1.0× 248 1.0× 215 1.0× 70 1.0× 34 1.0× 73 469
Diego Didona Portugal 14 423 1.2× 101 0.4× 272 1.3× 62 0.9× 13 0.4× 29 474
Ana Gainaru United States 10 290 0.8× 77 0.3× 132 0.6× 65 1.0× 26 0.8× 28 342
Geoffroy Vallée United States 13 456 1.3× 182 0.8× 287 1.4× 31 0.5× 9 0.3× 41 517
Daniel Hagimont France 14 472 1.4× 86 0.4× 306 1.4× 143 2.1× 12 0.4× 81 545
Peter Tröger Germany 9 151 0.4× 64 0.3× 102 0.5× 38 0.6× 20 0.6× 41 245
Nosayba El-Sayed United States 10 408 1.2× 156 0.6× 285 1.3× 70 1.0× 13 0.4× 16 501
Stijn Mostinckx Belgium 7 177 0.5× 70 0.3× 72 0.3× 74 1.1× 20 0.6× 24 276
Matthew Merzbacher United States 6 295 0.9× 43 0.2× 124 0.6× 141 2.1× 44 1.3× 17 363
Thanh Do Norway 10 462 1.3× 62 0.3× 275 1.3× 73 1.1× 77 2.3× 30 524

Countries citing papers authored by Dalvan Griebler

Since Specialization
Citations

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

Fields of papers citing papers by Dalvan Griebler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dalvan Griebler. 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 Dalvan Griebler. The network helps show where Dalvan Griebler may publish in the future.

Co-authorship network of co-authors of Dalvan Griebler

This figure shows the co-authorship network connecting the top 25 collaborators of Dalvan Griebler. A scholar is included among the top collaborators of Dalvan Griebler 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 Dalvan Griebler. Dalvan Griebler 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.
Griebler, Dalvan, et al.. (2024). GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism. Computer Standards & Interfaces. 92. 103922–103922. 2 indexed citations
2.
Griebler, Dalvan, et al.. (2024). Performance and programmability of GrPPI for parallel stream processing on multi-cores. The Journal of Supercomputing. 80(9). 12966–13000.
3.
Danelutto, Marco, et al.. (2024). Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. The Journal of Supercomputing. 80(15). 22213–22244.
5.
Griebler, Dalvan, et al.. (2024). Benchmarking parallel programming for single-board computers. Future Generation Computer Systems. 161. 119–134. 2 indexed citations
8.
Danelutto, Marco, et al.. (2023). Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
9.
Griebler, Dalvan, et al.. (2022). SPBench: a framework for creating benchmarks of stream processing applications. Computing. 105(5). 1077–1099. 10 indexed citations
10.
Griebler, Dalvan, et al.. (2022). OpenMP as runtime for providing high-level stream parallelism on multi-cores. The Journal of Supercomputing. 78(6). 7655–7676. 10 indexed citations
11.
Gomes, Márcio Miguel, Rodrigo da Rosa Righi, Cristiano André da Costa, & Dalvan Griebler. (2021). Simplifying IoT data stream enrichment and analytics in the edge. Computers & Electrical Engineering. 92. 107110–107110. 4 indexed citations
12.
Mencagli, Gabriele, et al.. (2021). Online and transparent self-adaptation of stream parallel patterns. Computing. 105(5). 1039–1057. 4 indexed citations
13.
Griebler, Dalvan, et al.. (2021). NAS Parallel Benchmarks with CUDA and beyond. Software Practice and Experience. 53(1). 53–80. 16 indexed citations
14.
Griebler, Dalvan, et al.. (2021). The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Future Generation Computer Systems. 125. 743–757. 24 indexed citations
15.
Griebler, Dalvan, et al.. (2021). Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores. CINECA IRIS Institutial research information system (University of Pisa). 291–295. 5 indexed citations
16.
Griebler, Dalvan, et al.. (2021). Providing high‐level self‐adaptive abstractions for stream parallelism on multicores. Software Practice and Experience. 51(6). 1194–1217. 10 indexed citations
17.
Stein, Charles, Dalvan Griebler, Massimo Torquati, et al.. (2020). Latency‐aware adaptive micro‐batching techniques for streamed data compression on graphics processing units. Concurrency and Computation Practice and Experience. 33(11). 11 indexed citations
18.
Griebler, Dalvan, et al.. (2020). Performance and Cost-aware HPC in Clouds: A Network Interconnection Assessment. 1–6. 4 indexed citations
19.
Griebler, Dalvan, et al.. (2015). Towards a Domain-Specific Language for geospatial data visualization maps with Big Data sets. 1–8. 8 indexed citations
20.
Griebler, Dalvan, et al.. (2014). Performance and Usability Evaluation of a Pattern-Oriented Parallel Programming Interface for Multi-Core Architectures.. Software Engineering and Knowledge Engineering. 25–30. 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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