Luís Lopes

601 total citations
37 papers, 269 citations indexed

About

Luís Lopes is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luís Lopes has authored 37 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luís Lopes's work include Distributed systems and fault tolerance (9 papers), IoT and Edge/Fog Computing (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Luís Lopes is often cited by papers focused on Distributed systems and fault tolerance (9 papers), IoT and Edge/Fog Computing (6 papers) and Parallel Computing and Optimization Techniques (6 papers). Luís Lopes collaborates with scholars based in Portugal, United States and Austria. Luís Lopes's co-authors include Fernando Silva, Shuichi Hokoi, Shuhei Kondo, Hisashi Miura, Pedro Pereira Rodrigues, João Gama, Pedro Ribeiro, Eduardo R. B. Marques, Vasco T. Vasconcelos and Francisco Martins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Buildings and International Journal of Biological Macromolecules.

In The Last Decade

Luís Lopes

33 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Lopes Portugal 8 104 83 50 44 38 37 269
Mariam Kiran United States 11 182 1.8× 86 1.0× 49 1.0× 56 1.3× 12 0.3× 47 396
Weiqi Zhang China 9 115 1.1× 131 1.6× 12 0.2× 69 1.6× 26 0.7× 52 279
Bing Su China 8 137 1.3× 50 0.6× 48 1.0× 91 2.1× 29 0.8× 27 250
Manuel I. Capel Spain 8 38 0.4× 64 0.8× 23 0.5× 31 0.7× 11 0.3× 46 221
Alok Kumbhare United States 7 152 1.5× 73 0.9× 19 0.4× 137 3.1× 31 0.8× 10 337
Nikolay Tcholtchev Germany 11 106 1.0× 95 1.1× 15 0.3× 52 1.2× 14 0.4× 49 299
Filippo Bistaffa Italy 9 30 0.3× 44 0.5× 31 0.6× 12 0.3× 12 0.3× 28 255
Erik Buchmann Germany 12 140 1.3× 96 1.2× 7 0.1× 68 1.5× 21 0.6× 53 327
Hyun Ah Song United States 9 84 0.8× 225 2.7× 6 0.1× 122 2.8× 55 1.4× 16 441
Shaomin Zhang China 12 115 1.1× 144 1.7× 27 0.5× 224 5.1× 19 0.5× 85 483

Countries citing papers authored by Luís Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Luís Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Lopes. A scholar is included among the top collaborators of Luís Lopes 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 Luís Lopes. Luís Lopes 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.
Mendes, Juliana Farinassi, et al.. (2025). Jerivá (Syagrus romanzoffiana) fruit fibers valorization as cellulose and lignocellulose nanofibers source for nanopaper production. International Journal of Biological Macromolecules. 311(Pt 3). 143905–143905. 1 indexed citations
2.
Silva, Joaquim S., Eduardo R. B. Marques, Luís Lopes, & Fernando Silva. (2023). Jay: A software framework for prototyping and evaluating offloading applications in hybrid edge clouds. Software Practice and Experience. 53(10). 2007–2025. 1 indexed citations
3.
Lopes, Luís, et al.. (2021). Getting a Glimpse of your Pictures using Dominant Colors. Eurographics.
4.
García, Miguel, et al.. (2020). Ramble: Opportunistic Crowdsourcing of User-Generated Data using Mobile Edge Clouds. 172–179. 4 indexed citations
5.
Silva, Joaquim S., Eduardo R. B. Marques, Luís Lopes, & Fernando Silva. (2020). Jay: Adaptive Computation Offloading for Hybrid Cloud Environments. 18. 54–61. 4 indexed citations
6.
Rodrigues, Pedro Pereira, João P. Araújo, João Gama, & Luís Lopes. (2018). A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks. International Journal of Distributed Sensor Networks. 14(10). 812233591–812233591. 1 indexed citations
7.
Marques, Eduardo R. B., et al.. (2017). Towards a middleware for mobile edge-cloud applications. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–6. 16 indexed citations
8.
Lopes, Luís & Francisco Martins. (2016). A safe-by-design programming language for wireless sensor networks. Journal of Systems Architecture. 63. 16–32. 8 indexed citations
9.
Silva, Roberto, et al.. (2015). Towards Out-of-the-Box Programming of Wireless Sensor-Actuator Networks. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 110–119. 1 indexed citations
10.
Martins, Rolando, Luís Lopes, Fernando Silva, & Priya Narasimhan. (2013). Stheno, a real-time fault-tolerant P 2 P middleware platform for light-train systems. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 431–438. 3 indexed citations
11.
Rodrigues, Pedro Pereira, João Gama, João P. Araújo, & Luís Lopes. (2011). L2GClust. 1006–1011. 1 indexed citations
12.
Ribeiro, Pedro, Fernando Silva, & Luís Lopes. (2010). Efficient Parallel Subgraph Counting Using G-Tries. Open Repository of the University of Porto (University of Porto). 298. 217–226. 18 indexed citations
13.
Martins, Francisco, Luís Lopes, & João Barros. (2010). Towards the Safe Programming of Wireless Sensor Networks. SHILAP Revista de lepidopterología. 17. 49–62. 5 indexed citations
14.
Lopes, Luís, et al.. (2008). Semantics-Preserving and Incremental Runtime Patching of Real-Time Programs. 4 indexed citations
15.
Lopes, Luís, et al.. (2007). A Process Calculus Approach to Sensor Network Programming. 451–456. 2 indexed citations
16.
Lopes, Luís, Vasco T. Vasconcelos, & Fernando Silva. (2001). Fine-grained multithreading with process calculi. IEEE Transactions on Computers. 50(8). 852–862. 1 indexed citations
17.
Lopes, Luís, et al.. (1999). DiTyCO: an Experiment in Code Mobility from the Realm of Process Calculi. 3 indexed citations
18.
Lopes, Luís. (1999). On the design and implementation of a virtual machine for process calculi. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3 indexed citations
19.
Vasconcelos, Vasco T., Luís Lopes, & Fernando Silva. (1998). Distribution and Mobility with Lexical Scoping in Process Calculi. Electronic Notes in Theoretical Computer Science. 16(3). 189–204. 13 indexed citations
20.
Lopes, Luís & Fernando Silva. (1997). Thread- and Process-based Implementations of the pSystem Parallel Programming Environment. Software Practice and Experience. 27(3). 329–351.

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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