M. Carmen Garrido

621 total citations
34 papers, 402 citations indexed

About

M. Carmen Garrido is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, M. Carmen Garrido has authored 34 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in M. Carmen Garrido's work include Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (10 papers) and Data Mining Algorithms and Applications (6 papers). M. Carmen Garrido is often cited by papers focused on Fuzzy Logic and Control Systems (11 papers), Neural Networks and Applications (10 papers) and Data Mining Algorithms and Applications (6 papers). M. Carmen Garrido collaborates with scholars based in Spain, United States and Italy. M. Carmen Garrido's co-authors include José Manuel Cadenas Figueredo, Raquel Martínez‐España, Piero P. Bonissone, Enrique Muñoz, Carlos Ivorra, Vicente Liern, A. Ruiz-Jimeno, Pedro E. López-de-Teruel, Andrés Muñoz and Andrés Bueno-Crespo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

M. Carmen Garrido

31 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Carmen Garrido Spain 9 227 63 62 45 35 34 402
Xuewen Chen United States 8 357 1.6× 99 1.6× 65 1.0× 37 0.8× 31 0.9× 19 507
Shawkat Ali Australia 9 298 1.3× 87 1.4× 101 1.6× 40 0.9× 26 0.7× 25 549
Adán José-García France 8 209 0.9× 59 0.9× 49 0.8× 41 0.9× 19 0.5× 16 348
Jigui Sun China 4 193 0.9× 124 2.0× 65 1.0× 46 1.0× 24 0.7× 14 359
Tuve Löfström Sweden 12 284 1.3× 48 0.8× 37 0.6× 51 1.1× 18 0.5× 56 467
K. De Jong United States 11 367 1.6× 115 1.8× 62 1.0× 104 2.3× 27 0.8× 21 576
Rafael Blanquero Spain 13 165 0.7× 57 0.9× 29 0.5× 62 1.4× 71 2.0× 35 488
Shenglei Chen China 9 272 1.2× 35 0.6× 94 1.5× 46 1.0× 50 1.4× 24 443
Nayyar A. Zaidi Australia 11 238 1.0× 76 1.2× 72 1.2× 41 0.9× 75 2.1× 23 415
Youwei Wang China 11 199 0.9× 82 1.3× 89 1.4× 30 0.7× 11 0.3× 41 328

Countries citing papers authored by M. Carmen Garrido

Since Specialization
Citations

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

Fields of papers citing papers by M. Carmen Garrido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Carmen Garrido. 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 M. Carmen Garrido. The network helps show where M. Carmen Garrido may publish in the future.

Co-authorship network of co-authors of M. Carmen Garrido

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carmen Garrido. A scholar is included among the top collaborators of M. Carmen Garrido 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 M. Carmen Garrido. M. Carmen Garrido 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.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Raquel Martínez‐España. (2023). A Methodology Based on Machine Learning and Soft Computing to Design More Sustainable Agriculture Systems. Sensors. 23(6). 3038–3038. 8 indexed citations
2.
Garrido, M. Carmen, et al.. (2022). Evaporation Forecasting through Interpretable Data Analysis Techniques. Electronics. 11(4). 536–536. 7 indexed citations
3.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Raquel Martínez‐España. (2021). A Methodology for More Sustainable Agriculture Through Early Crop Frost Forecasting. 1 indexed citations
4.
Figueredo, José Manuel Cadenas, et al.. (2018). A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process. 97–106. 1 indexed citations
5.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez‐España, & Andrés Muñoz. (2018). A k-nearest neighbors based approach applied to more realistic activity recognition datasets. Journal of Ambient Intelligence and Smart Environments. 10(3). 247–259. 2 indexed citations
6.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez‐España, & Andrés Muñoz. (2017). A More Realistic K-Nearest Neighbors Method and Its Possible Applications to Everyday Problems. 105. 52–59. 2 indexed citations
7.
Martínez‐España, Raquel, et al.. (2013). Imputing missing values from low quality data by NIP tool. 6. 1–8.
8.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Raquel Martínez‐España. (2013). Feature subset selection Filter–Wrapper based on low quality data. Expert Systems with Applications. 40(16). 6241–6252. 109 indexed citations
9.
10.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez‐España, & Piero P. Bonissone. (2011). Extending information processing in a Fuzzy Random Forest ensemble. Soft Computing. 16(5). 845–861. 20 indexed citations
11.
Figueredo, José Manuel Cadenas, et al.. (2011). Exact and heuristic procedures for solving the fuzzy portfolio selection problem. Fuzzy Optimization and Decision Making. 11(1). 29–46. 8 indexed citations
12.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Enrique Muñoz. (2011). Facing dynamic optimization using a cooperative metaheuristic configured via fuzzy logic and SVMs. Applied Soft Computing. 11(8). 5639–5651. 5 indexed citations
13.
Figueredo, José Manuel Cadenas, et al.. (2010). Mejorando el comportamiento de ensambles basados en boosting, bagging y random forest mediante Soft computing. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Bonissone, Piero P., et al.. (2010). A fuzzy random forest. International Journal of Approximate Reasoning. 51(7). 729–747. 108 indexed citations
15.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, Raquel Martínez‐España, & Enrique Muñoz. (2010). OFP_CLASS: AN ALGORITHM TO GENERATE OPTIMIZED FUZZY PARTITIONS TO CLASSIFICATION. 5–13. 1 indexed citations
16.
Bonissone, Piero P., et al.. (2009). Weighted Decisions in a Fuzzy Random Forest.. European Society for Fuzzy Logic and Technology Conference. 1553–1558.
17.
Figueredo, José Manuel Cadenas, et al.. (2008). Soft-computing based heuristics for location on networks: The p-median problem. Applied Soft Computing. 11(2). 1540–1547. 16 indexed citations
18.
Figueredo, José Manuel Cadenas, M. Carmen Garrido, & Enrique Muñoz. (2007). A Cooperative System of Metaheuristics. 19. 120–125. 3 indexed citations
19.
Figueredo, José Manuel Cadenas, et al.. (2005). Improving fuzzy pattern matching techniques to deal with non discrimination ability features. 6. 5708–5713.
20.
Figueredo, José Manuel Cadenas, et al.. (2004). Fuzzy integral in systems modeling. 4. 3182–3187. 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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