Martín Pedemonte

598 total citations
36 papers, 367 citations indexed

About

Martín Pedemonte is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Martín Pedemonte has authored 36 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 7 papers in Hardware and Architecture. Recurrent topics in Martín Pedemonte's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers) and Parallel Computing and Optimization Techniques (6 papers). Martín Pedemonte is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers) and Parallel Computing and Optimization Techniques (6 papers). Martín Pedemonte collaborates with scholars based in Uruguay, Spain and United States. Martín Pedemonte's co-authors include Héctor Cancela, Sergio Nesmachnow, Pablo Ezzatti, Enrique Alba, Francisco Luna, Ana I. Torres, Pedro Curto-Risso, A. Calvo Hernández, A. Medina and Gonzalo Tejera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

In The Last Decade

Martín Pedemonte

31 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martín Pedemonte Uruguay 9 156 70 62 62 42 36 367
Esther Villar-Rodríguez Spain 8 229 1.5× 72 1.0× 53 0.9× 88 1.4× 46 1.1× 30 457
Ghodrat Sepidnam Iran 4 198 1.3× 51 0.7× 92 1.5× 73 1.2× 33 0.8× 11 462
Stefka Fidanova Bulgaria 10 122 0.8× 77 1.1× 84 1.4× 43 0.7× 54 1.3× 64 386
Ping Guo China 11 81 0.5× 37 0.5× 45 0.7× 50 0.8× 26 0.6× 67 357
A. J. Umbarkar India 8 162 1.0× 70 1.0× 50 0.8× 63 1.0× 37 0.9× 23 360
Julius Beneoluchi Odili Malaysia 10 213 1.4× 92 1.3× 51 0.8× 60 1.0× 36 0.9× 41 402
Jongho Nang South Korea 8 243 1.6× 48 0.7× 81 1.3× 94 1.5× 45 1.1× 37 460
Ahmad Alhindi Saudi Arabia 11 94 0.6× 21 0.3× 44 0.7× 33 0.5× 36 0.9× 31 338
Aziz Ouaarab Morocco 3 194 1.2× 128 1.8× 45 0.7× 59 1.0× 18 0.4× 6 349
Guifa Teng China 14 199 1.3× 29 0.4× 59 1.0× 58 0.9× 47 1.1× 60 645

Countries citing papers authored by Martín Pedemonte

Since Specialization
Citations

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

Fields of papers citing papers by Martín Pedemonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Pedemonte

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Pedemonte. A scholar is included among the top collaborators of Martín Pedemonte 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 Martín Pedemonte. Martín Pedemonte 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
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Torres, Ana I., et al.. (2024). Machine learning and process systems engineering for sustainable chemical processes–A short review. Current Opinion in Green and Sustainable Chemistry. 51. 100982–100982. 2 indexed citations
3.
Torres, Ana I., et al.. (2023). A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model. Neural Computing and Applications. 35(13). 9299–9317. 2 indexed citations
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Ezzatti, Pablo, et al.. (2023). Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. 1–6. 1 indexed citations
6.
Pedemonte, Martín, et al.. (2022). Scheduling of the Uruguayan Football and Basketball Leagues. 1–6.
7.
Pedemonte, Martín, et al.. (2022). Development of a machine learning-based soft sensor for an oil refinery’s distillation column. Computers & Chemical Engineering. 161. 107756–107756. 19 indexed citations
8.
Pedemonte, Martín, et al.. (2022). Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs. IEEE Access. 10. 27611–27629. 2 indexed citations
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Torres, Ana I., et al.. (2021). Towards a Multi-Output Kaizen Programming Algorithm. 12. 1–6. 3 indexed citations
11.
Pedemonte, Martín, et al.. (2020). An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model. Concurrency and Computation Practice and Experience. 32(19). 1 indexed citations
12.
Pedemonte, Martín, et al.. (2020). Research platform for cattle virtual fences. 8 indexed citations
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Pedemonte, Martín, Francisco Luna, & Enrique Alba. (2016). A Systolic Genetic Search for reducing the execution cost of regression testing. Applied Soft Computing. 49. 1145–1161. 7 indexed citations
15.
Pedemonte, Martín, et al.. (2016). Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs). 1–10. 1 indexed citations
16.
Tejera, Gonzalo, et al.. (2011). Real path planning based on genetic algorithm and Voronoi diagrams. Americanae (AECID Library). 1–6. 14 indexed citations
17.
Pedemonte, Martín, Enrique Alba, & Francisco Luna. (2011). Bitwise operations for GPU implementation of genetic algorithms. 439–446. 12 indexed citations
18.
Pedemonte, Martín, et al.. (2010). PUGACE, a cellular Evolutionary Algorithm framework on GPUs. 23. 1–8. 17 indexed citations
19.
Luna, Carlos, et al.. (2007). Organización para un curso de programación en un contexto de masividad. SHILAP Revista de lepidopterología.
20.
Luna, Carlos, et al.. (2007). Organización para un curso de programación en un contexto de masividad: Resultados tras experiencia de 4 años. Dialnet (Universidad de la Rioja). 8(2). 83–91. 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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