J.A. Ramírez

2.9k total citations · 1 hit paper
82 papers, 2.1k citations indexed

About

J.A. Ramírez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, J.A. Ramírez has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 18 papers in Electrical and Electronic Engineering. Recurrent topics in J.A. Ramírez's work include Advanced Multi-Objective Optimization Algorithms (27 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Evolutionary Algorithms and Applications (15 papers). J.A. Ramírez is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (27 papers), Metaheuristic Optimization Algorithms Research (25 papers) and Evolutionary Algorithms and Applications (15 papers). J.A. Ramírez collaborates with scholars based in Brazil, United Kingdom and Canada. J.A. Ramírez's co-authors include Marcelo A. Soto, Frederico Gadelha Guimarães, Luc Thévenaz, Francisco Guarner, Luis Bustos Fernández, Aldo Maruy, Henry Cohen, Vera Lúcia Sdepanian, Ricardo H. C. Takahashi and João Vasconcelos and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

J.A. Ramírez

78 papers receiving 2.0k citations

Hit Papers

Antibiotics as Major Disruptors of Gut Microbiota 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Ramírez Brazil 18 563 392 377 272 258 82 2.1k
Jin Yuan China 29 1.2k 2.2× 339 0.9× 1.2k 3.2× 170 0.6× 524 2.0× 229 3.4k
Hongru Li China 23 265 0.5× 168 0.4× 282 0.7× 102 0.4× 82 0.3× 183 1.7k
Samuel Cheng United States 26 718 1.3× 127 0.3× 562 1.5× 172 0.6× 39 0.2× 161 2.2k
Xuezhi Wang China 30 469 0.8× 240 0.6× 1.0k 2.7× 230 0.8× 80 0.3× 244 3.1k
Hadi Jahanshahi China 40 532 0.9× 95 0.2× 740 2.0× 242 0.9× 223 0.9× 172 4.6k
Xiaohui Liu China 32 176 0.3× 158 0.4× 483 1.3× 145 0.5× 61 0.2× 111 3.5k
Shuo Zhang China 30 379 0.7× 339 0.9× 645 1.7× 63 0.2× 102 0.4× 187 3.4k
Akira Kojima Japan 34 1.0k 1.9× 490 1.3× 48 0.1× 682 2.5× 84 0.3× 451 4.7k
J. Vlach Canada 28 1.4k 2.6× 267 0.7× 84 0.2× 528 1.9× 219 0.8× 127 2.6k
Richard B. Brown United States 39 3.2k 5.7× 287 0.7× 590 1.6× 797 2.9× 126 0.5× 314 9.2k

Countries citing papers authored by J.A. Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Ramírez. 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 J.A. Ramírez. The network helps show where J.A. Ramírez may publish in the future.

Co-authorship network of co-authors of J.A. Ramírez

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Ramírez. A scholar is included among the top collaborators of J.A. Ramírez 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 J.A. Ramírez. J.A. Ramírez 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
2.
Garcia, Gonzalo, et al.. (2024). Preliminary results on food weight estimation with RGB-D images. 1–7. 2 indexed citations
3.
Yin, Jiuxun, Marcelo A. Soto, J.A. Ramírez, et al.. (2023). Real-Data Testing of Distributed Acoustic Sensing for Offshore Earthquake Early Warning. SHILAP Revista de lepidopterología. 3(4). 269–277. 18 indexed citations
4.
Alves, Marcos Antônio, et al.. (2021). Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs. Computers in Biology and Medicine. 132. 104335–104335. 70 indexed citations
5.
Ramírez, J.A., et al.. (2021). Deep-Learning-Based Earthquake Detection for Fiber-Optic Distributed Acoustic Sensing. Journal of Lightwave Technology. 40(8). 2639–2650. 71 indexed citations
6.
Ramírez, J.A., Francisco Guarner, Luis Bustos Fernández, et al.. (2020). Antibiotics as Major Disruptors of Gut Microbiota. Frontiers in Cellular and Infection Microbiology. 10. 572912–572912. 568 indexed citations breakdown →
7.
Soto, Marcelo A., J.A. Ramírez, & Luc Thévenaz. (2016). Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration. Nature Communications. 7(1). 10870–10870. 254 indexed citations
8.
Soto, Marcelo A., J.A. Ramírez, & Luc Thévenaz. (2015). Intensifying Brillouin distributed fibre sensors using image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9634. 96342D–96342D. 12 indexed citations
9.
Aquino, André L. L., et al.. (2013). Structural changes in data communication in wireless sensor networks. SHILAP Revista de lepidopterología. 4 indexed citations
10.
Camargo, Ricardo Saraiva de, et al.. (2013). An Efficient Genetic Algorithm for the Design of Hub-and-Spoke Networks. IEEE Communications Letters. 17(4). 793–796. 6 indexed citations
11.
Ramírez, J.A., et al.. (2013). A New Algorithm Based on Differential Evolution for Combinatorial Optimization. 175. 60–66. 6 indexed citations
12.
Campelo, Felipe, et al.. (2012). Multiobjective vehicle routing problem with fixed delivery and optional collections. Optimization Letters. 7(7). 1419–1431. 11 indexed citations
14.
Batista, Lucas S., Felipe Campelo, Frederico Gadelha Guimarães, & J.A. Ramírez. (2011). A comparison of dominance criteria in many-objective optimization problems. 2359–2366. 40 indexed citations
15.
Batista, Lucas S., Frederico Gadelha Guimarães, & J.A. Ramírez. (2009). A Distributed Clonal Selection Algorithm for Optimization in Electromagnetics. IEEE Transactions on Magnetics. 45(3). 1598–1601. 20 indexed citations
16.
Rodrigues, Luiz Oswaldo Carneiro, et al.. (2007). Calculation of Temperature Rise Induced by Cellular Phones in the Human Head. 6(1). 310–322. 6 indexed citations
17.
Guimarães, Frederico Gadelha, Felipe Campelo, Hajime Igarashi, David A. Lowther, & J.A. Ramírez. (2006). Optimization of Cost Functions Using Evolutionary Algorithms with Local Learning and Local Search. 166–166. 1 indexed citations
18.
Palhares, Reinaldo M., Pedro L. D. Peres, & J.A. Ramírez. (2000). A Linear Matrix Inequality Approach to The Peak-to-Peak Guaranteed Cost Filtering Design. IFAC Proceedings Volumes. 33(14). 29–34. 14 indexed citations
19.
Rashid, Kashif, E.M. Freeman, & J.A. Ramírez. (1999). Optimisation of electromagnetic devices using computational intelligence techniques. IEEE International Magnetics Conference. DF06–DF06. 2 indexed citations
20.
Yuan, Bo, et al.. (1997). Piecewise Linear Membership Function Generator-Divider Approach. 1. 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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